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Hands-On Python Deep Learning for the Web: Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow. Code |
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Image Processing and Acquisition using Python (Chapman & Hall/CRC The Python Series) |
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Python Programming for Beginners: Basic Language from Absolute Beginners to Intermediate. Learn Easily and Fast Data Science and Web Development in a Simple and Practical Way Step-by-Step |
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Practical Data Analysis Using Jupyter Notebook: Learn how to speak the language of data by extracting useful and actionable insights using Python. Code |
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Introduction to Scientific Programming With Python |
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Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud |
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Introduction to Python Programming |
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Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy |
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Expert Twisted: Event-Driven and Asynchronous Programming with Python |
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Python Basics: A Self-Teaching Introduction |
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Practical Quantum Computing for Developers: Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience |
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Python for Data Mining Quick Syntax Reference |
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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib |
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Math Adventures with Python: An Illustrated Guide to Exploring Math with Code |
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Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python |
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Expert Twisted: Event-Driven and Asynchronous Programming with Python |
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Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy |
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Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python |
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Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance |
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Building Chatbots with Python: Using Natural Language Processing and Machine Learning |
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Python for Data Mining Quick Syntax Reference |
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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib |
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Python Continuous Integration and Delivery: A Concise Guide with Examples |
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Introduction to Python for Science and Engineering |
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Introduction to Python for Science and Engineering |
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Linear Algebra, Signal Processing and Wavelets – a unified Approach. Python Version |
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Python for Data Science, 2nd Edition |
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Classic Computer Science Problems in Python |
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Serious Python: Black-Belt Advice on Deployment, Scalability, Testing, and More |
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Classic Computer Science Problems in Python |
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Pro Python 3: Features and Tools for Professional Development |
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Mastering Python Scripting for System Administrators |
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The Python Master (75% Complete) |
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Powershell and Python Together: Targeting Digital Investigations |
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Hands-On Penetration Testing with Python Enhance your ethical hacking skills to build automated and intelligent systems |
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Python for Programmers: with Big Data and Artificial Intelligence Case Studies |
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Image operators image processing in Python |
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Python Machine Learning |
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Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python |
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Linear Algebra, Signal Processing, and Wavelets - A Unified Approach: Python Version |
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Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data |
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Data Science from Scratch: First Principles with Python |
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Mastering OpenCV 4 with Python : A Practical Guide Covering Topics from Image Processing, Augmented Reality to Deep Learning with OpenCV 4 and Python 3. 7. |
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Python All-In-One for Dummies |
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Python network programming : conquer all your networking challenges with the powerful Python language |
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Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming |
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Essential Algorithms: A Practical Approach to Computer Algorithms Using Python and C# |
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Big Data Analysis with Python |
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Essential Algorithms. A practical Approach to Computer Algorithms using Python and C# [2nd ed.] |
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Clean Python: Elegant Coding in Python |
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Learn Python Programming: Write code from scratch in a clear & concise way, with a complete basic course. From beginners to intermediate, an hands-on project with examples, to follow step by step |
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Python, Pygame, and Raspberry Pi Game Development |
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Python for Teenagers: Learn to Program Like a Superhero! |
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Machine Learning with Python for Everyone |
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Foundations of Libvirt Development: How to Set Up and Maintain a Virtual Machine Environment with Python |
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Python by Example: Learning to Program in 150 Challenges |
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Days of the Python |
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Python Crash Course, 2nd Edition |
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Getting Started with Python |
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Python for Probability, Statistics, and Machine Learning |
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DevOps in Python : Infrastructure as Python |
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The Python Workbook: A Brief Introduction with Exercises and Solutions |
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Expert Python Programming |
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Statistical Methods for Machine Learning: Discover How to Transform Data into Knowledge with Python |
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Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras |
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Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras |
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Fundamentals of Python Programming |
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Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data |
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Supercharged Python: Take Your Code to the Next Level |
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Data Science with Python and Dask |
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A Beginners Guide To Python 3 Programming |
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Applied Reinforcement Learning with Python. With OpenAI Gym, Tensorflow and Keras |
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Python for SAS Users |
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Beginning Ethereum Smart Contracts Programming. With Examples in Python, Solidity and JavaScript |
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Python for SAS Users: A SAS-Oriented Introduction to Python |
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Practical Data Science with Python 3 |
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Learn PySpark. Build Python-based Machine Learning and Deep Learning Models |
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Flask Framework Cookbook: Over 80 proven recipes and techniques for Python web development with Flask |
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Hands-on Q-Learning with Python. Practical Q-Learning with OpenAI Gym, Keras and TensorFlow |
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Hands-On Q-Learning with Python: Practical Q-learning with OpenAI Gym, Keras, and TensorFlow |
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Text Analytics with Python: A Practitioner's Guide to Natural Language Processing |
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The Python Workbook: A Brief Introduction with Exercises and Solutions |
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Machine Learning Pocket Reference: Working with Structured Data in Python |
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Introduction to Python programming |
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Practical Cryptography in Python: Learning Correct Cryptography by Example |
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Practical Cryptography in Python: Learning Correct Cryptography by Example |
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Python for the Life Sciences: A Gentle Introduction to Python for Life Scientists |
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Deep Learning from Scratch: Building with Python from First Principles |
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Trading Evolved: Anyone can Build Killer Trading Strategies in Python |
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Python for civil and structural engineers |
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Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python |
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Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python |
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Python Parallel Programming Cookbook: Over 70 recipes to solve asynchronous programming and distributed computing problems with Python 3 |
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Diaries 1969–1979: The Python Years |
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Effective Python Penetration Testing |
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Effective Python: 59 Specific Ways to Write Better Python (Effective Software Development Series) |
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Learning Geospatial Analysis with Python: Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7 |
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Python GUI Programming Cookbook: Develop functional and responsive user interfaces with tkinter and PyQt5 |
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Learning Python by Building Games: A beginner’s guide to Python programming and game development |
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Fundamentals Of Python: Data Structures |
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Machine Learning with Spark and Python: Essential Techniques for Predictive Analytic |
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Solve It With PYTHON !: A Programming Guide To Ease Your Science And Engineering Challenges |
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Reinforcement Learning Algorithms with Python: Learn, understand, and develop smart algorithms for addressing AI challenges |
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Hands-On Neural Networks: Learn how to build and train your first neural network model using Python |
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Forging Python |
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Forging Python |
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Introducing Python: Modern Computing in Simple Packages |
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Learn Algorithmic Trading: Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis |
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Automate the Boring Stuff with Python, 2nd Edition |
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Django for Professionals: Production Websites with Python & Django |
2019 |
Django for APIs: Build Web APIs with Python & Django |
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The Python Workshop: A Practical, No-Nonsense Introduction To Python Development |
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Automate the Boring Stuff with Python, 2nd Edition: Practical Programming for Total Beginners |
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Python Parallel Programming Cookbook: Over 70 recipes to solve challenges in multithreading and distributed system with Python 3 |
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Automate The Boring Stuff With Python: Practical Programming For Total Beginners |
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Hands-On Docker for Microservices with Python: Design, deploy, and operate a complex system with multiple microservices using Docker and Kubernetes |
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PYTHON FOR DATA SCIENCE: The Ultimate Beginners’ Guide to Learning Python Data Science Step by Step |
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PYTHON FOR DATA SCIENCE: The Ultimate Beginners’ Guide to Learning Python Data Science Step by Step |
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Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python |
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Effective Python 90 Specific Ways to Write Better Python 2nd Edition |
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Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python |
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Hands-on unsupervised learning with Python : implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more |
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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 |
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Advanced Guide To Python 3 Programming |
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Python Data Science: The Ultimate Handbook for Beginners on How to Explore NumPy for Numerical Data, Pandas for Data Analysis, IPython, Scikit-Learn and Tensorflow for Machine Learning and Business |
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Data Science With Python And Dask |
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Algorithmic Trading with Interactive Brokers (Python and C++) |
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Hands-On Neuroevolution with Python: Build high-performing artificial neural network architectures using neuroevolution-based algorithms |
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Machine Learning for Cybersecurity Cookbook: Over 80 recipes on how to implement machine learning algorithms for building security systems using Python |
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pandas: powerful Python data analysis toolkit |
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Python Machine Learning Blueprints: Put your machine learning concepts to the test by developing real-world smart projects |
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Python Machine Learning, 3rd Edition |
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Math Adventures with Python: An Illustrated Guide to Exploring Math with Code |
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Python GUI Programming Cookbook: Develop functional and responsive user interfaces with tkinter and PyQt5 |
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Machine Learning Using Python |
2019 |
Automate the boring stuff with python 2nd edition |
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Python for civil and structural engineers |
2018 |
Pythonic geodynamics implementations for fast computing |
2018 |
Make your own Python Text Adventure |
2018 |
Introduction to Python for Engineers and Scientists. Open Source Solutions for Numerical Computation |
2018 |
Practical Machine Learning with Python |
2018 |
Deep Learning with Python |
2018 |
Basics of Linear Algebra for Machine Learning - Discover the Mathematical Language of Data in Python |
2018 |
Simulating Nonlinear Circuits with Python Power Electronics |
2018 |
Computer Simulation: A Foundational Approach Using Python |
2018 |
Python for R users : a data science approach |
2018 |
Introduction to Python for Engineers and Scientists: Open Source Solutions for Numerical Computation |
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Make Your Own Python Text Adventure: A Guide to Learning Programming |
2018 |
Reinforcement Learning : With Open AI, TensorFlow and Keras Using Python |
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Simulating Nonlinear Circuits with Python Power Electronics: An Open-Source Simulator, Based on Python™ |
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A Book about the Film Monty Python’s Life of Brian: All the References from Assyrians to Zeffirelli |
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Beginning Programming with Python For Dummies |
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Cracking Codes with Python: An Introduction to Building and Breaking Ciphers |
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Code for OpenCV 3.x with Python By Example, Second Edition |
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OpenCV 3.x with Python By Example |
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OpenCV 3.x with Python By Example - Second Edition: Make the most of OpenCV and Python to build applications for object recognition and augmented reality |
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Beginning Programming with Python for Dummies [2nd ed.] |
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The Python Manual |
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Learn Data Analysis with Python |
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Practical Python AI Projects. Mathematical Models of Optimization Problems with Google OR-Tools |
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Good Habits for Great Coding: Improving Programming Skills with Examples in Python |
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Good Habits for Great Coding: Improving Programming Skills with Examples in Python |
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Python Interviews: Discussions with Python Experts |
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Complex Network Analysis in Python: Recognize - Construct - Visualize - Analyze - Interpret |
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Practical Convolutional Neural Networks: Implement advanced deep learning models using Python |
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Beginning Robotics with Raspberry Pi and Arduino: Using Python and OpenCV |
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Beginning Robotics with Raspberry Pi and Arduino: Using Python and OpenCV |
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Practical Web Scraping for Data Science: Best Practices and Examples with Python |
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Practical Web Scraping for Data Science: Best Practices and Examples with Python |
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Django RESTful Web Services: The easiest way to build Python RESTful APIs and web services with Django |
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Web Scraping with Python: Collecting More Data from the Modern Web |
2018 |
A Concise Introduction to Programming in Python, Second Edition |
2018 |
A Concise Introduction to Programming in Python |
2018 |
Complex Network Analysis in Python: Recognize - Construct - Visualize - Analyze - Interpret |
2018 |
Complex Network Analysis in Python |
2018 |
Building Django 2.0 Web Applications: Create enterprise-grade, scalable Python web applications easily with Django 2.0 |
2018 |
Data Science Fundamentals for Python and MongoDB |
2018 |
Python Web Scraping Cookbook: Over 90 proven recipes to get you scraping with Python, micro services, Docker and AWS |
2018 |
Python Graphics. A Reference for creating 2D and 3D Images |
2018 |
Machine Learning: Step-by-Step Guide To Implement Machine Learning Algorithms with Python |
2018 |
Deep Learning for Natural Language Processing. Creating Neural Networks with Python |
2018 |
Applied Scientific Computing with Python |
2018 |
Learn Raspberry Pi Programming with Python [2nd ed.] |
2018 |
Begin to code with Python |
2018 |
Personal Finance With Python: using pandas, requests, and recurrent. |
2018 |
Flask Web Development: Developing Web Applications with Python |
2018 |
Python GUI programming with Tkinter |
2018 |
Python in easy steps |
2018 |
Deep Learning with Applications Using Python |
2018 |
MySQL Connector/Python Revealed |
2018 |
Practical Docker with Python |
2018 |
Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition with Tensorflow and Keras |
2018 |
Computational Problems for Physics: With Guided Solutions Using Python |
2018 |
Practical Video Game Bots: Automating Game Processes using C++, Python, and AutoIt |
2018 |
Learn to Program with Python 3: A Step-by-Step Guide to Programming, 2nd Edition |
2018 |
Practical Social Network Analysis with Python |
2018 |
Practical Social Network Analysis with Python |
2018 |
The Quick Python Book |
2018 |
Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing |
2018 |
Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud |
2018 |
Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing |
2018 |
Applied Natural Language Processing with Python. Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing |
2018 |
Website Scraping with Python: Using BeautifulSoup and Scrapy |
2018 |
Guide to Programming for the Digital Humanities: Lessons for Introductory Python |
2018 |
Python for Offensive PenTest |
2018 |
Multiple Criteria Decision Aid. Methods, Examples and Python Implementations |
2018 |
Python Data Analytics: With Pandas, NumPy, and Matplotlib |
2018 |
Qt5 Python GUI Programming Cookbook: Building responsive and powerful cross-platform applications with PyQt |
2018 |
Python Data Analytics with Pandas, NumPy and Matplotlib, 2nd Edition |
2018 |
Python Data Analytics With Pandas, NumPy, and Matplotlib |
2018 |
Python Web Scraping Cookbook |
2018 |
Python Artificial Intelligence Projects for Beginners |
2018 |
Python Automation Cookbook: Explore the world of automation using Python recipes that will enhance your skills |
2018 |
Personal Finance with Python: Using pandas, Requests, and Recurrent |
2018 |
Beginning Programming with Python for Dummies |
2018 |
Starting Out with Python, Global Edition |
2018 |
Python Data Structures and Algorithms |
2018 |
Learn to Program with Python 3: A Step-by-Step Guide to Programming |
2018 |
Mastering Python networking : your one-stop solution to using Python for network automation, DevOps, and test-driven development |
2018 |
Python Descriptors: Understanding and Using the Descriptor Protocol |
2018 |
Dynamical Systems with Applications using Python |
2018 |
Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning |
2018 |
Deep Learning for Natural Language Processing: Creating Neural Networks with Python |
2018 |
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning |
2018 |
Clean Code in Python: Refactor your legacy codebase |
2018 |
Hands-On Transfer Learning with Python Implement Advanced Deep Learning and Neural Network Models Using TensorFlow and Keras |
2018 |
Become A Python Data Analyst |
2018 |
Raspberry Pi 3 Cookbook for Python Programmers: Unleash the potential of Raspberry Pi 3 with over 100 recipes |
2018 |
Hands-On Markov Models with Python |
2018 |
Applied Deep Learning with Python |
2018 |
Python Data Science Essentials |
2018 |
Python Reinforcement Learning Projects |
2018 |
Beginning Data Science with Python and Jupyter |
2018 |
Modern Python standard library cookbook : over 100 recipes to fully leverage the features of the standard library in Python |
2018 |
OpenCV 3 Computer Vision with Python Cookbook Leverage the power of OpenCV 3 and Python to build computer vision applications |
2018 |
Hands-On Enterprise Automation with Python: Automate common administrative and security tasks with Python |
2018 |
Python Artificial Intelligence Projects for Beginners - Get up and running with 8 smart and exciting AI applications |
2018 |
Modern Python Standard Library Cookbook: Over 100 recipes to fully leverage the features of the standard library in Python |
2018 |
Keras Deep Learning Cookbook: Over 80 Recipes for Implementing Deep Neural Networks in Python |
2018 |
Natural Language Processing and Computational Linguistics: A Practical Guide to Text Analysis With Python, Gensim, spaCy, and Keras |
2018 |
Hands-On Automated Machine Learning: A Beginner’s Guide to Building Automated Machine Learning Systems Using AutoML and Python |
2018 |
Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems |
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Impractical Python Projects: Playful Programming Activities to Make You Smarter |
2018 |
Python Data Science Essentials - Third Edition: A Beginner’s Guide Covering Essential Data Science Principles, Tools, and Techniques |
2018 |
Beginning Data Science With Python and Jupyter: Use Powerful Industry-Standard Tools Within Jupyter and the Python Ecosystem to Unlock New, Actionable Insights From Your Data |
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Data Science Fundamentals for Python and MongoDB |
2018 |
Hands-On Bitcoin Programming with Python |
2018 |
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2018 |
Bioinformatics Algorithms: Design and Implementation in Python |
2018 |
Applied Data Science with Python and Jupyter |
2018 |
Serious Python |
2018 |
Practical Quantum Computing for Developers. Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience |
2018 |
Clean Code in Python |
2018 |
Mastering Python Design Patterns |
2018 |
Deep Learning from First Principles In Vectorized Python R and Octave |
2018 |
Python Deep Learning Projects |
2018 |
Python for Data Mining Quick Syntax Reference |
2018 |
The Quick Python Book |
2018 |
Mastering Python Design Patterns: A guide to creating smart, efficient, and reusable software |
2018 |
Clean Architectures in Python |
2018 |
Python Recipes for Engineers and Scientists: Scripts that devour your integrals, equations, differential equations, and interpolations! |
2018 |
Impractical Python Projects: Playful Programming Activities to Make You Smarter |
2018 |
Modern Python Standard Library Cookbook: Over 100 recipes to fully leverage the features of the standard library in Python |
2018 |
Hands-On Software Engineering with Python: Move beyond basic programming and construct reliable and efficient software with complex code |
2018 |
Flask Web Development: Developing Web Applications with Python |
2018 |
Learn Python Programming |
2018 |
Python Notes for Professionals |
2018 |
Cracking Codes with Python: An Introduction to Building and Breaking Ciphers |
2018 |
Block Trace Analysis and Storage System Optimization: A Practical Approach with MATLAB/Python Tools |
2018 |
Physics of Oscillations and Waves: With use of Matlab and Python |
2018 |
Dynamical Systems with Applications using Python |
2018 |
Multiple Criteria Decision Aid: Methods, Examples and Python Implementations |
2018 |
Credit-Risk Modelling: Theoretical Foundations, Diagnostic Tools, Practical Examples, and Numerical Recipes in Python |
2018 |
Python Beginners Guide to Artificial Intelligence |
2018 |
Python for Finance: Mastering Data-Driven Finance |
2018 |
Functional Python Programming: Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads |
2018 |
Numerical Computing with Python: Harness the power of Python to analyze and find hidden patterns in the data |
2018 |
Secret Recipes of the Python Ninja: Over 70 recipes that uncover powerful programming tactics in Python |
2018 |
Data Analytics with Spark Using Python |
2018 |
Python Graphics: A Reference for Creating 2D and 3D Images |
2018 |
Practical Machine Learning with Python : A Problem-Solver’s Guide to Building Real-World Intelligent Systems |
2018 |
Make Your Own Python Text Adventure: A Guide to Learning Programming |
2018 |
Python for the Busy Java Developer: The Language, Syntax, and Ecosystem |
2018 |
Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python |
2018 |
Practical Python AI Projects: Mathematical Models of Optimization Problems with Google OR-Tools |
2017 |
Python Descriptors |
2017 |
Applied Text Analysis with Python: Enabling Language Aware Data Products with Machine Learning |
2017 |
Applied Text Analysis with Python: Enabling Language Aware Data Products with Machine Learning |
2017 |
Thoughtful Machine Learning with Python A Test-Driven Approach |
2017 |
Scientific Computing with Python 3 |
2017 |
Scientific Computing with Python 3 |
2017 |
Scientific Computing with Python 3 |
2017 |
Tango With Django: A beginner’s Guide to Web Development With Python / Django 1.9 |
2017 |
Programming with Python |
2017 |
Computational Methods for Bioinformatics for Python 3.4 |
2017 |
Computational Methods for Bioinformatics. Python 3.4 |
2017 |
Digital Signal Processing with Python Programming |
2017 |
Digital Signal Processing with Python Programming |
2017 |
Thoughtful Machine Learning with Python: A Test-Driven Approach |
2017 |
Thoughtful Machine Learning with Python: A Test-Driven Approach |
2017 |
Thoughtful Machine Learning with Python: A Test-Driven Approach |
2017 |
Beginning Ethical Hacking with Python |
2017 |
Chemical and Biomedical Engineering Calculations Using Python |
2017 |
Introduction to Data Science. A Python Approach to Concepts, Techniques and Applications |
2017 |
Beginning Python: From Novice to Professional |
2017 |
Artificial Intelligence with Python |
2017 |
Python for Graph and Network Analysis |
2017 |
Python for Graph and Network Analysis |
2017 |
Deep Learning with Python. A Hands-on Introduction |
2017 |
Python in a Nutshell. A Desktop Quick Reference |
2017 |
Python Unit Test Automation : Practical Techniques for Python Developers and Testers |
2017 |
Python Programming: An In-Depth Guide Into The Essentials Of Python Programming |
2017 |
Pyomo - Optimization Modeling in Python |
2017 |
Software Architecture with Python |
2017 |
Mastering Machine Learning with Python in six Steps |
2017 |
Python in a Nutshell. A Desktop Quick Reference |
2017 |
Python Deep Learning |
2017 |
Deep Learning with Python: A Hands-on Introduction |
2017 |
Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python |
2017 |
A Primer on Process Mining: Practical Skills with Python and Graphviz |
2017 |
Pyomo — Optimization Modeling in Python |
2017 |
Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python |
2017 |
Python and Hacking Made Simple: Full Beginners Bundle To Master Python & Hacking |
2017 |
Python: The No-Nonsense Guide: Learn Python Programming Within 12 Hours! |
2017 |
Pro Python Best Practices: Debugging, Testing and Maintenance |
2017 |
The Python 3 Standard Library by Example |
2017 |
Neural data science : a primer with MATLAB and Python |
2017 |
The Python Apprentice |
2017 |
Neural Data Science. A Primer with MATLAB® and Python™ |
2017 |
Pro Python Best Practices: Debugging, Testing and Maintenance |
2017 |
Raspberry Pi Image Processing Programming: Develop Real-Life Examples with Python, Pillow, and SciPy |
2017 |
Python beyond Python: Critical Engagements with Culture |
2017 |
Pandas for Everyone. Python Data Analysis |
2017 |
Introduction to Modeling and Simulation with MATLAB® and Python |
2017 |
Python for Bioinformatics |
2017 |
Python for Bioinformatics |
2017 |
Introduction to Modeling and Simulation with MATLAB® and Python |
2017 |
Bayesian Models for Astrophysical Data: Using R, JAGS, Python, and Stan |
2017 |
Thoughtful Machine Learning with Python: A Test-Driven Approach |
2017 |
Python for Scientists |
2017 |
Python for Scientists |
2017 |
Test-Driven Development with Python: Obey the Testing Goat: Using Django, Selenium, and JavaScript |
2017 |
Python for Finance |
2017 |
Learn Python 3 the Hard Way - Rough Cuts |
2017 |
Learn Python 3 the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code |
2017 |
Learn More Python 3 the Hard Way: The Next Step for New Python Programmers |
2017 |
Python Machine Learning |
2017 |
Python Natural Language Processing |
2017 |
Computer Vision with Python 3 |
2017 |
Python Machine Learning |
2017 |
Python for Data Analysis. Data Wrangling with Pandas, NumPy, and IPython |
2017 |
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython |
2017 |
Programming with MicroPython: Embedded Programming with Microcontrollers and Python |
2017 |
Programming with MicroPython: Embedded Programming with Microcontrollers and Python |
2017 |
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython |
2017 |
Learn More Python 3 the Hard Way: The Next Step for New Python Programmers |
2017 |
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython |
2017 |
Python Digital Forensics Cookbook |
2017 |
The Python 3 Standard Library by Example |
2017 |
Python Digital Forensics Cookbook |
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Snake charming -- the musical Python |
2017 |
Practical Data Science Cookbook: Data pre-processing, analysis and visualization using R and Python |
2017 |
Practical Data Science Cookbook: Data pre-processing, analysis and visualization using R and Python. Code |
2017 |
Practical Data Science Cookbook: Data pre-processing, analysis and visualization using R and Python |
2017 |
Python for R Users |
2017 |
Practical Python Design Patterns. Pythonic Solutions to Common Problems |
2017 |
Python: Data Analytics and Visualization |
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Learning Concurrency in Python |
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Python GUI Programming Cookbook |
2017 |
Python Machine Learning Case Studies: Five Case Studies for the Data Scientist |
2017 |
Python Machine Learning Case Studies |
2017 |
Coding Projects in Python |
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Test-Driven Development with Python: Obey the Testing Goat: Using Django, Selenium, and JavaScript |
2017 |
Python High Performance |
2017 |
QuantLib Python Cookbook |
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Practical Python Design Patterns: Pythonic Solutions to Common Problems |
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Beginning Django: Web Application Development and Deployment with Python |
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Python Machine Learning Case Studies: Five Case Studies for the Data Scientist |
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Artificial Intelligence with Python |
2017 |
Learning Concurrency in Python: Build highly efficient, robust, and concurrent applications |
2017 |
Pro Deep Learning with TensorFlow. A Mathematical Approach to Advanced Artificial Intelligence in Python |
2017 |
Python Testing with pytest |
2017 |
Machine Learning for OpenCV: Intelligent image processing with Python |
2017 |
Python in a Nutshell: A Desktop Quick Reference |
2017 |
Thoughtful Machine Learning with Python: A Test-Driven Approach |
2017 |
Test-Driven Development with Python: Obey the Testing Goat: Using Django, Selenium, and JavaScript |
2017 |
Cloud Native Python: Build and deploy resilent applications on the cloud using microservices, AWS, Azure and more |
2017 |
Deep Learning with Python |
2017 |
Deep Learning with Python |
2017 |
Deep Learning with TensorFlow: Explore neural networks with Python |
2017 |
Python without Fear |
2017 |
Python Data Analytics and Visualization. A course in three modules |
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Cloud Native Python: Build and deploy resilent applications on the cloud using microservices, AWS, Azure and more |
2017 |
Software Architecture with Python |
2017 |
Python Programming with Raspberry Pi |
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Python Microservices Development |
2017 |
Python GUI Programming Cookbook |
2017 |
Python Data Structures and Algorithms |
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Mastering Python Networking |
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Practical time series analysis: master time series data processing, visualization, and modeling using Python |
2017 |
Practical Machine Learning with Python: A Problem-Solver’s Guide to Building Real-World Intelligent Systems |
2017 |
Learning Concurrency in Python |
2017 |
Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R |
2017 |
Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark |
2017 |
Learn Python in 7 days : get up-and-running with Python |
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Python 2 and 3 Compatibility: With Six and Python-Future Libraries |
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Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python |
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MicroPython for the Internet of Things: A Beginner’s Guide to Programming with Python on Microcontrollers |
2017 |
Python for the Busy Java Developer: The Language, Syntax, and Ecosystem |
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Modeling and simulation in Python |
2017 |
Daniel Arbuckle’s Mastering Python |
2017 |
code accompanying Daniel Arbuckle’s Mastering Python |
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Computational Nuclear Engineering and Radiological Science Using Python |
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Python Programming for Beginners: Easy Steps to Learn the Python Language and Go from Beginner to Expert Today! |
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Python Programming for Beginners: Easy Steps to Learn the Python Language and Go from Beginner to Expert Today! |
2017 |
Python Machine Learning Cookbook (Early Release) |
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Practical Reinforcement Learning: Develop self-evolving, intelligent agents with OpenAI Gym, Python and Java |
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Python Deep Learning Cookbook. |
2017 |
The Python Starter Kit: An In-depth and Practical course for beginners to Python Programming. Including detailed step-by-step guides and practical demonstrations. |
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Learn Data Analysis with Python: Lessons in Coding |
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Learn Data Analysis with Python: Lessons in Coding |
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Python : end-to-end data analysis : leverage the power of Python to clean, scrape, analyze, and visualize your data : a course in three modules. |
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn and TensorFlow [source code] |
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn and TensorFlow |
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Natural Language Processing with Python Cookbook |
2017 |
Natural Language Processing with Python Cookbook (source code) |
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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython |
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Learn Python 3 the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code |
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Statistical Application Development with R and Python |
2017 |
Statistical Application Development with R and Python [source code] |
2017 |
Python Testing with pytest: Simple, Rapid, Effective, and Scalable |
2017 |
Understanding optics with Python |
2017 |
Data Science and Analytics with Python |
2017 |
Data Science and Analytics with Python |
2017 |
Practical Reinforcement Learning: Develop self-evolving, intelligent agents with OpenAI Gym, Python and Java |
2016 |
Introduction to Machine Learning with Python: A Guide for Data Scientists |
2016 |
Data Wrangling with Python: Tips and Tools to Make Your Life Easier |
2016 |
Learning Python Design Patterns |
2016 |
Learning Python Design Patterns |
2016 |
Learning Python Design Patterns |
2016 |
Learning Python Design Patterns |
2016 |
The Python Book: The Ultimate Guide to Coding with Python |
2016 |
Hello Raspberry Pi!: Python programming for kids and other beginners |
2016 |
Hello Raspberry Pi!: Python programming for kids and other beginners |
2016 |
Hello Raspberry Pi!: Python programming for kids and other beginners |
2016 |
Data Visualization with Python and JavaScript: Scrape, Clean, Explore & Transform Your Data |
2016 |
Data Visualization with Python and JavaScript: Scrape, Clean, Explore & Transform Your Data |
2016 |
Data Visualization with Python and JavaScript: Scrape, Clean, Explore & Transform Your Data |
2016 |
Python for web application |
2016 |
Python for web application |
2016 |
Python for web application |
2016 |
Python for web application |
2016 |
The Python Language Reference Manual |
2016 |
The Python Language Reference Manual |
2016 |
The Python Language Reference Manual |
2016 |
The Python Language Reference Manual |
2016 |
Use MySQL with Python |
2016 |
Use MySQL with Python |
2016 |
Use MySQL with Python |
2016 |
Use MySQL with Python |
2016 |
Regression Analysis with Python |
2016 |
Regression Analysis with Python |
2016 |
Regression Analysis with Python |
2016 |
Foundations for Analytics with Python |
2016 |
Foundations for Analytics with Python |
2016 |
Foundations for Analytics with Python |
2016 |
Designing Machine Learning Systems with Python |
2016 |
Designing Machine Learning Systems with Python |
2016 |
Designing Machine Learning Systems with Python |
2016 |
Deep Learning in Python Prerequisites |
2016 |
Deep Learning in Python Prerequisites |
2016 |
Deep Learning in Python Prerequisites |
2016 |
Deep Learning in Python Prerequisites |
2016 |
Introduction to Python - For Scientists and Engineers |
2016 |
Distributed Computing with Python |
2016 |
Distributed Computing with Python |
2016 |
Distributed Computing with Python |
2016 |
SABR and SABR LIBOR Market Models in Practice: With Examples Implemented in Python |
2016 |
Internet of Things with Python |
2016 |
Internet of Things with Python |
2016 |
Internet of Things with Python |
2016 |
Expert Python Programming |
2016 |
Expert Python Programming |
2016 |
Make Games with Python |
2016 |
Data Wrangling with Python: Tips and Tools to Make Your Life Easier |
2016 |
Designing Machine Learning Systems with Python: Design efficient machine learning systems that give you more accurate results |
2016 |
Expert Python Programming, 2nd Edition: Become an ace Python programmer by learning best coding practices and advance-level concepts with Python 3.5 |
2016 |
Foundations for Analytics with Python: From non-programmer to hacker |
2016 |
Internet of Things with Python: Interact with the world and rapidly prototype IoT applications using Python |
2016 |
Introduction to Machine Learning with Python: A Guide for Data Scientists |
2016 |
Python Projects for Kids: Unleash Python and take your small readers on an adventurous ride through the world of programming |
2016 |
Think DSP: Digital Signal Processing in Python |
2016 |
Introducing Data Science: Big Data, Machine Learning, and more, using Python tools |
2016 |
Introducing Data Science: Big Data, Machine Learning, and more, using Python tools |
2016 |
The Python Book |
2016 |
Natural Language Processing in Python: Master Data Science and Machine Learning for spam detection, sentiment analysis, latent semantic analysis, and article spinning (Machine Learning in Python) |
2016 |
Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python) |
2016 |
Unsupervised Machine Learning in Python: Master Data Science and Machine Learning with Cluster Analysis, Gaussian Mixture Models, and Principal Components Analysis |
2016 |
Python for Probability, Statistics, and Machine Learning |
2016 |
Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow |
2016 |
Foundations for Analytics with Python: From Non-Programmer to Hacker |
2016 |
Foundations for Analytics with Python: From Non-Programmer to Hacker |
2016 |
Foundations for Analytics with Python: From Non-Programmer to Hacker |
2016 |
The Hitchhiker’s Guide to Python: Best Practices for Development |
2016 |
The Hitchhiker’s Guide to Python: Best Practices for Development |
2016 |
Mastering Data Mining with Python |
2016 |
Introduction to Machine Learning with Python: A Guide for Data Scientists |
2016 |
Introduction to Machine Learning with Python: A Guide for Data Scientists |
2016 |
Python 201: Intermediate Python |
2016 |
Python 201 |
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Data Science Essentials in Python: Collect - Organize - Explore - Predict - Value |
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Introduction to Machine Learning with Python: A Guide for Data Scientists |
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Learning Python Application Development |
2016 |
Python 101 |
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PYTHON PYTHON'S COMPANION, A STEP BY STEP GUIDE FOR BEGINNERS TO START CODING TODAY! |
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Python Recipes Handbook Problem-Solution Approach |
2016 |
Python for Everybody Exploring Data in Python 3 |
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Python for Everybody Exploring Data in Python 3 |
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Lean Python - Learn Just Enough Python to Build Useful Tools |
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Python for Experimental Psychologists |
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Python An Introduction to Programming |
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Python Real World Machine Learning |
2016 |
Python Recipes Handbook: A Problem-Solution Approach |
2016 |
Learn to Program with Python |
2016 |
Lean Python: Learn Just Enough Python to Build Useful Tools |
2016 |
An Introduction to Statistics with Python: With Applications in the Life Sciences |
2016 |
Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python |
2016 |
A Primer on Scientific Programming with Python |
2016 |
Big Data, MapReduce, Hadoop, and Spark with Python |
2016 |
Big Data, MapReduce, Hadoop, and Spark with Python |
2016 |
A Primer on Scientific Programming with Python |
2016 |
Programming for Computations - Python A Gentle Introduction to Numerical Simulations with Python |
2016 |
Deep Learning: Recurrent Neural Networks in Python: LSTM, GRU, and more RNN machine learning architectures in Python and Theano (Machine Learning in Python) |
2016 |
Deep Learning: Recurrent Neural Networks in Python: LSTM, GRU, and more RNN machine learning architectures in Python and Theano (Machine Learning in Python) |
2016 |
Programming for Computations – Python. A Gentle Introduction to Numerical Simulations with Python |
2016 |
Integrating Python with Leading Computer Forensics Platforms |
2016 |
Integrating Python with Leading Computer Forensics Platforms |
2016 |
Unsupervised Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python and Theano |
2016 |
Unsupervised Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python and Theano |
2016 |
Python Data Analysis Cookbook |
2016 |
Python Data Analysis Cookbook |
2016 |
Mastering Natural Language Processing with Python |
2016 |
Murach’s Python programming : beginner to pro |
2016 |
Mastering Social Media Mining with Python |
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Think DSP: Digital Signal Processing in Python |
2016 |
Geoprocessing with Python |
2016 |
Geoprocessing with Python |
2016 |
Listed Volatility and Variance Derivatives: A Python-based Guide |
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Large Scale Machine Learning with Python |
2016 |
Large Scale Machine Learning with Python |
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Text Analytics with Python: A Practical Real-World Approach to Gaining Actionable Insights from your Data |
2016 |
Python Data Science Handbook: Essential Tools for Working with Data |
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Python: Penetration Testing for Developers |
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Genetic Algorithms with Python |
2016 |
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Genetic Algorithms with Python |
2016 |
Text Analytics with Python A Practical Real-World Approach to Gaining Actionable Insights from your Data |
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Head First Python A Brain-Friendly Guide |
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Natural Language Processing: Python and NLTK |
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2016 |
Head First Python A Brain-Friendly Guide |
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Natural Language Processing Python and NLTK |
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Data Structure and Algorithmic Thinking with Python Data Structure and Algorithmic Puzzles |
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Modern Python Cookbook |
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Bayesian Analysis with Python |
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Bayesian Analysis with Python |
2016 |
Introducing Data Science: Big Data, Machine Learning and More, Using Python tools |
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Text Analytics with Python: A Practical Real-World Approach to Gaining Actionable Insights from your Data |
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Python, PyGame and Raspberry Pi Game Development |
2016 |
Python The Complete Manual |
2016 |
The Python Book |
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Beginning Ethical Hacking with Python |
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Programming with Python |
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Modern Python Cookbook |
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Introduction to Computation and Programming Using Python: With Application to Understanding Data |
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Python Programming. Python Programming for Beginners, Python Programming for Intermediates |
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Writing Idiomatic Python 3 |
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Django : web development with Python |
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Raspberry Pi for Python Programmers Cookbook |
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Python Data Science Handbook. Essential Tools for Working with Data |
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Learning Predictive Analytics with Python |
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Solving PDEs in Python. The FEniCS Tutorial |
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Pro Python |
2015 |
Pro Python |
2015 |
Data Structures and Algorithms with Python |
2015 |
Data Structures and Algorithms with Python |
2015 |
Understanding Network Hacks: Attack and Defense with Python |
2015 |
High Performance Python |
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Understanding Network Hacks: Attack and Defense with Python |
2015 |
Complete Guide For Python Programming |
2015 |
Complete Guide For Python Programming |
2015 |
Complete Guide For Python Programming |
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Python Programming Fundamentals |
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Python Penetration Testing Essentials |
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Functional Python Programming |
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Functional Python Programming |
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Machine Learning in Python: Essential Techniques for Predictive Analysis |
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Fluent Python |
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Building Machine Learning Systems with Python, 2nd Edition: Get more from your data through creating practical machine learning systems with Python |
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Data Structures and Algorithms with Python: Undergraduate Topics in Computer Science |
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QGIS Python Programming Cookbook: Over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework |
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Fluent Python: Clear, Concise, and Effective Programming |
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Machine Learning in Python: Essential Techniques for Predictive Analysis |
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Python Algorithms: Mastering Basic Algorithms in the Python Language |
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Foundations of Python Network Programming, Third Edition |
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A Primer on Scientific Programming with Python |
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Python 3 Text Processing with NLTK 3 Cookbook |
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Think Python: How to Think Like a Computer Scientist |
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Black Hat Python: Python Programming for Hackers and Pentesters |
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Black Hat Python: Python Programming for Hackers and Pentesters |
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Black Hat Python: Python Programming for Hackers and Pentesters |
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Pro Python: Second Edition |
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Python Programming for Beginners: An Introduction to the Python Computer Language and Computer Programming |
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The Python Workbook: A Brief Introduction with Exercises and Solutions |
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Black Hat Python: Python Programming for Hackers and Pentesters |
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Raspberry Pi Cookbook for Python Programmers |
2014 |
Raspberry Pi Cookbook for Python Programmers |
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Beginning Python Visualization, 2nd Edition: Crafting Visual Transformation Scripts |
2014 |
Beginning Programming with Python For Dummies |
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2014 |
Foundations of Python Network Programming, 3rd Edition |
2014 |
Flask Web Development: Developing Web Applications with Python |
2014 |
Mastering Object-oriented Python: Grasp the intricacies of object-oriented programming in Python in order to efficiently build powerful real-world applications |
2014 |
Introducing Python: Modern Computing in Simple Packages |
2014 |
IPython Interactive Computing and Visualization Cookbook: Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python |
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Python Pocket Reference, 5th Edition: Python in Your Pocket |
2014 |
Python Network Programming Cookbook: Over 70 detailed recipes to develop practical solutions for a wide range of real-world network programming tasks |
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Python Tools for Visual Studio: Leverage the power of the Visual Studio IDE to develop better and more efficient Python projects |
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Python Algorithms, 2nd Edition: Mastering Basic Algorithms in the Python Language |
2014 |
Pro Python System Administration, 2nd Edition |
2014 |
Python 3 Text Processing with NLTK 3 Cookbook: Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0 |
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Practical Data Science Cookbook: 89 hands-on recipes to help you complete real-world data science projects in R and Python |
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Python for Finance: Analyze Big Financial Data |
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Pro Python, 2nd Edition |
2014 |
Python Projects |
2014 |
Python Data Analysis: Learn how to apply powerful data analysis techniques with popular open source Python modules |
2014 |
Learn Raspberry Pi Programming with Python |
2014 |
Learning Selenium Testing Tools with Python: A practical guide on automated web testing with Selenium using Python |
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2014 |
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2014 |
Testing Python: Applying Unit Testing, TDD, BDD and Acceptance Testing |
2014 |
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2014 |
High Performance Python: Practical Performant Programming for Humans |
2014 |
Pro Python System Administration |
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Python Network Programming Cookbook |
2014 |
Python for Secret Agents |
2014 |
Python Pocket Reference |
2014 |
Python Pocket Reference |
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Practical Maya Programming with Python |
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2014 |
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Python tools for Visual Studio |
2014 |
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2014 |
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2014 |
Parallel Programming with Python |
2014 |
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Nobody expects the Spanish Inquisition : cultural contexts in Monty Python |
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Monty Python at Work |
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2014 |
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2014 |
Parallel Programming with Python |
2014 |
Learning Python Data Visualization |
2014 |
Python 101 |
2014 |
Python Programming for Teens |
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2014 |
Test-Driven Development with Python: Obey the Testing Goat: Using Django, Selenium, and JavaScript |
2014 |
Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science |
2014 |
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Learning Python Testing |
2014 |
Parallel Programming with Python |
2014 |
Python Forensics: A Workbench for Inventing and Sharing Digital Forensic Technology |
2014 |
Make a Raspberry Pi-Controlled Robot: Building a Rover with Python, Linux, Motors, and Sensors |
2014 |
PyQGIS Programmer’s Guide: Extending Qgis 2.X with Python |
2014 |
Movie Script: Monty Python And The Holy Grail |
2014 |
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2014 |
PomPoms Up! From Puberty to the Pythons and Beyond |
2014 |
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2014 |
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Test-Driven Development with Python: Obey the Testing Goat: Using Django, Selenium, and JavaScript |
2014 |
Violent Python: a cookbook for hackers, forensic analysts, penetration testers, and security engineers |
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Python: Learn Python in One Day and Learn It Well. Python for Beginners with Hands-on Project. (Learn Coding Fast with Hands-On Project Book 1) |
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Python: Learn Python in One Day and Learn It Well. Python for Beginners with Hands-on Project. (Learn Coding Fast with Hands-On Project Book 1) |
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The Hacker’s Guide To Python |
2014 |
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2014 |
Python Data Analysis |
2014 |
Python in practice : create better programs using concurrency, libraries, and patterns |
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Python Algorithms: Mastering Basic Algorithms in the Python Language |
2014 |
Python Pocket Reference |
2014 |
Building Probabilistic Graphical Models with Python |
2014 |
Python tools for Visual Studio leverage the power of the Visual Studio IDE to develop better and more efficient Python projects |
2014 |
Learn Python the hard way : a very simple introduction to the terrifyingly beautiful world of computers and code |
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Python for Kids: A Playful Introduction to Programming |
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Introduction to Computation and Programming Using Python |
2013 |
Introduction to computation and programming using Python |
2013 |
OpenCV Computer Vision with Python |
2013 |
OpenCV Computer Vision with Python |
2013 |
OpenCV Computer Vision with Python |
2013 |
Python Cookbook |
2013 |
Data Structures and Algorithms in Python |
2013 |
Python for Everyone |
2013 |
Image Processing using Pulse-Coupled Neural Networks: Applications in Python |
2013 |
Learning Python: powerful object-oriented programming |
2013 |
Learning Python: powerful object-oriented programming |
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2013 |
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2013 |
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2013 |
Building Machine Learning Systems with Python |
2013 |
Python in Practice: Create Better Programs Using Concurrency, Libraries, and Patterns |
2013 |
Getting Started with BeagleBone: Linux-Powered Electronic Projects With Python and JavaScript |
2013 |
Getting Started with BeagleBone: Linux-Powered Electronic Projects With Python and JavaScript |
2013 |
Practical Programming: An Introduction to Computer Science Using Python 3 |
2013 |
Practical Programming: An Introduction to Computer Science Using Python 3 |
2013 |
Programming ArcGIS 10.1 with Python Cookbook |
2013 |
Programming ArcGIS 10.1 with Python Cookbook |
2013 |
Python Cookbook |
2013 |
Python Cookbook |
2013 |
Hacking Secret Ciphers with Python: A beginner's guide to cryptography and computer programming with Python |
2013 |
Data Structures and Algorithms in Python |
2013 |
Learning Python, 5th Edition |
2013 |
Python for everyone |
2013 |
Data structures and algorithms in Python |
2013 |
Learning Python, 5th Edition |
2013 |
Python cookbook |
2013 |
Python Geospatial Development - Second Edition |
2013 |
Python Cookbook |
2013 |
Learning Python Design Patterns |
2013 |
Learning Geospatial Analysis with Python |
2013 |
Learning Geospatial Analysis with Python |
2013 |
Python Data Visualization Cookbook |
2013 |
Learning scikit-learn: Machine Learning in Python |
2013 |
Coding Club Level 2 Python: Next Steps |
2013 |
A functional start to computing with Python |
2013 |
Coding Club Level 3 Python: Building Big Apps |
2013 |
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2013 |
Python Data Visualization Cookbook |
2013 |
Python Data Visualization Cookbook |
2013 |
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2013 |
Learning scikit-learn: Machine Learning in Python |
2013 |
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2013 |
Learning Python Design Patterns |
2013 |
The Python Quick Syntax Reference |
2013 |
The Python Quick Syntax Reference |
2013 |
Learning Python Design Patterns: A practical and fast-paced guide exploring Python design patterns |
2013 |
Violent Python : a cookbook for hackers, forensic analysts, penetration testers and security engineers |
2013 |
Introduction to Computation and Programming Using Python, Revided & Expanded |
2013 |
Learn Python The Hard Way |
2013 |
Numerical Methods in Engineering with Python 3 |
2013 |
Python High Performance Programming |
2013 |
Python High Performance Programming |
2013 |
Fundamentals of Python: Data Structures |
2013 |
Python in Easy Steps |
2013 |
Python in Easy Steps |
2013 |
Python in Easy Steps |
2013 |
Python in Easy Steps |
2013 |
Fundamentals of Python Data Structures |
2013 |
Learning Python, 5th Edition |
2013 |
Learning Python, 5th Edition |
2013 |
Python for kids : a playful introduction to programming |
2013 |
Learning Python |
2013 |
Violent Python : a cookbook for hackers, forensic analysts, penetration testers and security engineers |
2013 |
Python in 24 Hours |
2013 |
Practical Programming - An Introduction to Computer Science Using Python 3 |
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Python in Practice: Create Better Programs Using Concurrency, Libraries, and Patterns |
2013 |
Data Structures and Algorithms in Python |
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Introduction to Computer Science Using Python: A Computational Problem-Solving Focus |
2013 |
Kivy: Interactive Applications in Python: Create cross-platform UI/UX applications and games in Python |
2013 |
OpenCV Computer Vision with Python: Learn to capture videos, manipulate images, and track objects with Python using the OpenCV Library |
2013 |
Python Cookbook, 3rd Edition: Recipes for Mastering Python 3 |
2013 |
Programming ArcGIS 10.1 with Python Cookbook: Over 75 recipes to help you automate geoprocessing tasks, create solutions, and solve problems for ArcGIS with Python |
2013 |
Python Geospatial Development, 2nd Edition: Learn to build sophisticated mapping applications from scratch using Python tools for geospatial development |
2013 |
Python and HDF5: Unlocking Scientific Data |
2013 |
Practical Programming, 2nd Edition: An Introduction to Computer Science Using Python 3 |
2013 |
Python in Practice: Create Better Programs Using Concurrency, Libraries, and Patterns |
2013 |
Learning IPython for Interactive Computing and Data Visualization: Learn IPython for interactive Python programming, high-performance numerical computing, and data visualization |
2013 |
Learning Cython Programming: Expand your existing legacy applications in C using Python |
2013 |
Learning SciPy for Numerical and Scientific Computing: A practical tutorial that guarantees fast, accurate, and easy-to-code solutions to your numerical and scientific computing problems with the power of SciPy and Python |
2013 |
Think Bayes: Bayesian Statistics in Python |
2013 |
Python Cookbook, 3rd edition |
2013 |
Programming the Raspberry Pi Getting Started with Python |
2013 |
Building Machine Learning Systems with Python |
2013 |
Python for Everyone |
2013 |
Numerical Methods in Engineering with Python 3 |
2013 |
Introduction to Computation and Programming Using Python |
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Learning Python, 5th Edition |
2013 |
Treading on Python Volume 2: Intermediate Python |
2013 |
Computing With Python: An Introduction to Python for Science & Engineering |
2013 |
Writing Idiomatic Python for v2.x |
2013 |
Python Scripting for ArcGIS |
2013 |
Python Scripting for ArcGIS |
2013 |
Python for Data Analysis |
2013 |
A Functional Start to Computing with Python |
2013 |
Computing With Python An Introduction to Python for Science & Engineering |
2013 |
Kivy: Interactive Applications in Python |
2013 |
Kivy: Interactive Applications in Python |
2013 |
Learning SciPy for numerical and scientific computing : a practical tutorial that guarantees fast, accurate, and easy-to-code solutions to your numerical and scientific computing problems with the power of SciPy and Python |
2013 |
Think Bayes: Bayesian Statistics in Python |
2013 |
Python for data analysis : Data wrangling with Pandas, Numpy, and IPython |
2013 |
Monty Python Speaks! |
2013 |
Monty Python |
2013 |
Python Scripting for ArcGIS |
2013 |
Learning Python, 5th Edition: Powerful Object-Oriented Programming |
2013 |
Learn Python the Hard Way, 3rd Edition: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code |
2013 |
OpenCV Computer Vision with Python |
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Start Here: Python 3x Programming |
2013 |
Start Here: Python 3x Programming |
2013 |
Learning Python |
2013 |
Python : Visual QuickStart Guide, Third Edition |
2013 |
Python geospatial development |
2013 |
Python Cookbook |
2013 |
Data Structures and Algorithms in Python |
2013 |
Learn Python the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code, Third Edition, Video-Enhanced Edition |
2013 |
Learning Python design patterns |
2013 |
Learning scikit-learn machine learning in Python : experience the benefits of machine learning techniques by applying them to real-world problems using Python and the open source scikit-learn library |
2013 |
Learn Python the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code (Zed Shaw's Hard Way Series) |
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Programming in Python 3: a complete introduction to the Python language |
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Python and HDF5 |