python-tutorial-notebook

There are 5 repositories under python-tutorial-notebook topic.

milaan9 / 01_Python_Introduction
Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.
jupyter-notebook python4datascience python4beginner python4everybody python-tutorials python-tutorial-github python-tutorial-notebook python-tutor python-introduction python-jupyter-notebooks jupyter-tutorial tutorial-exercises tutorial-github tutor-milaan9 python-keywords python-variables python-operators type-conversion namespace-scope python-imports
Language:Jupyter Notebook 306
milaan9 / 06_Python_Object_Class
Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-oriented programming in Python.
ipython-notebook oops-in-python oop-concepts oop-principles python4beginner python4everybody python4datascience inheritance operator-overloading oop-examples polymorphism operatoroverloding classes-and-objects python-tutorial-github python-tutorial-notebook python-tutor encapsulation instance-variables instance-methods tutor-milaan9
Language:Jupyter Notebook 286
milaan9 / 91_Python_Mini_Projects
webscraping python-games python-mini-projects python4beginner python4everybody python4datascience ipython-to-pdf python-digital-clock py-to-exe js-in-python covid-19-india miniprogram mini-project mini-projects mini-program tutor-milaan9 python-tutorial-github python-tutorial-notebook python-tutorials python-tutor
Language:Jupyter Notebook 286
milaan9 / 07_Python_Advanced_Topics
You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.
ipython-notebook python4beginner python4everybody python4datascience python-iterators python-generators python-closure python-decorators python-property python-regex args-kwargs-master python-tutorial-github python-tutorial-notebook python-tutor python-tutorials python-advance-topics generator-function property-decorators match-object tutor-milaan9
Language:Jupyter Notebook 281
milaan9 / 90_Python_Examples
The best way to learn Python is by practicing examples. The repository contains examples of basic concepts of Python. You are advised to take the references from these examples and try them on your own.
python-examples python4beginner python4everybody python4datascience python-programming python-exercises python-exercises-for-interview examples examples-python python-tutorial-github python-tutorial-notebook python-tutor tutor-milaan9 object-oriented-examples flow-control-examples python-functions-examples python-examples-github python-files-examples python-advance-examples python-basic-examples
Language:Jupyter Notebook 272
milaan9 / Python_Decision_Tree_and_Random_Forest
I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.
decision-tree decision-tree-classifier decision-tree-algorithm decision-tree-classification decision-tree-id3 id3-algorithm python-decisiontreeclassifier python-decision-tree python4beginner python4everybody python4datascience python-tutorial-notebook python-tutorial-github decision-tree-playgolf iris-classification cart-algorithm tutor-milaan9 random-forest dtreeviz graphviz
Language:Jupyter Notebook 242
milaan9 / 10_Python_Pandas_Module
Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.
python-pandas pandas-dataframe pandas-tutorial pandas-tricks-for-data-manipulation pandas-python python4beginner python4datascience pandas-series dataframe-from-dictionary dataframe-from-list dataframe-drop-columns dataframe-to-dictionary dataframe-drop-duplicates pandas-datareader pandas-excercises python-tutorial-github python-tutorial-notebook python-tutorials python-tutor tutor-milaan9
Language:Jupyter Notebook 237
milaan9 / 02_Python_Datatypes
Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different types of Python data types along with their respective in-built functions and methods.
python4everybody python4datascience python-datatypes python-string-methods python-string-maupulation python-list-methods python-tuple-methods python-dictionary-methods python-sets-methods python-tutorial-github python-tutorial-notebook python-strings python-lists python-tuples python-dictionary python-sets list-comprehension list-comprehensions python-tutorials tutor-milaan9
Language:Jupyter Notebook 232
milaan9 / 04_Python_Functions
The function is a block of code defined with a name. We use functions whenever we need to perform the same task multiple times without writing the same code again. It can take arguments and returns the value.
python4beginner python4everybody python4datascience functions-python lamda-functions builtin-functions recursive-functions random-module math-functions anonymous-functions docstrings userdefined-functions global-local-nonlocal built-in-functions python-tutorial-github python-tutorial-notebook python-tutor python-functions functional-arguments tutor-milaan9
Language:Jupyter Notebook 228
milaan9 / 09_Python_NumPy_Module
Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.
ipython-notebook numpy numpy-arrays python4beginner python4everybody python4datascience numpy-tutorial numpy-exercises python-tutorial-github python-tutorial-notebook python-tutorials python-tutor numpy-matrix numpy-exercise-solutions array-methods array-manipulations array-indexing array-math array-reorganizing tutor-milaan9
Language:Jupyter Notebook 228
milaan9 / 08_Python_Date_Time_Module
Time is undoubtedly the most critical factor in every aspect of life. Therefore, it becomes very essential to record and track this component. In Python, date and time can be tracked through its built-in libraries. This article on Date and time in Python will help you understand how to find and modify the dates and time using the time and datetime modules.
ipython-notebook python4beginner python4everybody python4datascience datetime python-datetime python-tutorial-github python-tutorial-notebook python-tutor python-tutorials strftime strptime timstamp time-module datetime-module current-time current-date python-sleep tutor-milaan9 python-tutorial
Language:Jupyter Notebook 224
milaan9 / 05_Python_Files
Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files. The concept of file handling has stretched over various other languages, but the implementation is either complicated or lengthy, but like other concepts of Python, this concept here is also easy and short. Python treats files differently as text or binary and this is important.
ipython-notebook ipython python4beginner python4everybody python4datascience pythontutorial file-input-output file-exception file-exception-handeling file-directory python-tutor python-tutorial-github python-tutorial-notebook python-tutorials file-handling python-files exception-handling exceptions userdefined-exceptions tutor-milaan9
Language:Jupyter Notebook 223
milaan9 / 03_Python_Flow_Control
Flow control is the order in which statements or blocks of code are executed at runtime based on a condition. Learn Conditional statements, Iterative statements, and Transfer statements
python4beginner python4everybody python4datascience ipython-notebook python-flow-control jupyter-notebooks if-else-statements if-elif-else nested-if-else-statements for-loop while-loop nested-for-loops nested-while-loops if-statement break-continue-pass control-statements python-tutorial-notebook python-tutorial-github python-tutorials tutor-milaan9
Language:Jupyter Notebook 218
milaan9 / 11_Python_Matplotlib_Module
Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram, etc
ipython-notebook python4beginner python4everybody python4datascience matplotlib-tutorial matplotlib-pyplot matplotlib python-tutorial-github python-tutorial-notebook python-tutorials python-tutor matplotlib-python matplotlib-figures matplotlib-examples matplotlib-heatmap python-matplotlib matplotlib-exercises data-visualization data-analysis tutor-milaan9
Language:Jupyter Notebook 218
milaan9 / milaan9
readme profile github tutor-milaan9 python-tutor python-tutorial-notebook readme-template readme-profile readme-badges readme-card readme-stats profile-readme profile-template profile-page python4beginner python4everybody python4datascience template-readme
Language:Python 193
milaan9 / 92_Python_Games
This repository contains Python games that I've worked on. You'll learn how to create python games with AI. I try to focus on creating board games without GUI in Jupyter-notebook.
python3 ipython-notebook python-games python-games-with-ai tic-tac-toe-with-ai bulls-and-cows-solver bulls-and-cows-with-ai python4beginner python4everybody python4datascience tutor-milaan9 python-tutorial-github python-tutorial-notebook python-tutorials game-2d games-with-ai board-games tic-tac-toe bulls-and-cows
Language:Jupyter Notebook 185
LeetCode
SamirPaulb / LeetCode
LeetCode Solutions💡in Python3🐍 and C++
beginner code cpp hacktoberfest hacktoberfest-accepted leetcode leetcode-python leetcode-solutions problem-solving problems project python python-tutorial python-tutorial-notebook python3 tutorial tutorials
Language:Python 47
AI_is_Math
YoniChechik / AI_is_Math
AI is Math course repo. Check out the website at: www.AIisMath.com
neural-networks notebook computer-vision course edge-detection features sift python-tutorial-notebook camera-calibration stereo-vision image-processing python convolutional-neural-networks cnn keras tensorflow opencv
Language:Jupyter Notebook 47
adellegia / watermelon
Document classification of Digital Markets Act public consultations using transfer learning with BERT
deep-learning machine-learning transfer-learning python-tutorial-notebook
Language:Jupyter Notebook 2
JihanSung / Python-For-Nerds
Learn how to code in Python With Jihan Sung
python python-script python-tutorial-github python-tutorial-notebook jihan-sung
Language:Python 1
Pegah-Ardehkhani / Python_Tutorial_Plus_Questions
conditional-statements data-science data-structures exercises functions learn-to-code object-oriented-programming programming python python-exercises python-programming python-questions python-tutorial python-tutorial-notebook python3 tutorial tutorial-code tutorial-exercises
Language:Jupyter Notebook 1

python-tutorial-notebook

milaan9 / 01_Python_Introduction

milaan9 / 06_Python_Object_Class

milaan9 / 91_Python_Mini_Projects

milaan9 / 07_Python_Advanced_Topics

milaan9 / 90_Python_Examples

milaan9 / Python_Decision_Tree_and_Random_Forest

milaan9 / 10_Python_Pandas_Module

milaan9 / 02_Python_Datatypes

milaan9 / 04_Python_Functions

milaan9 / 09_Python_NumPy_Module

milaan9 / 08_Python_Date_Time_Module

milaan9 / 05_Python_Files

milaan9 / 03_Python_Flow_Control

milaan9 / 11_Python_Matplotlib_Module

milaan9 / milaan9

milaan9 / 92_Python_Games

SamirPaulb / LeetCode

YoniChechik / AI_is_Math

adellegia / watermelon

JihanSung / Python-For-Nerds

Pegah-Ardehkhani / Python_Tutorial_Plus_Questions