kwu2008's repositories
WPF-Samples
Repository for WPF related samples
modbuspp
A C++ Library for Modbus TCP Client Protocol
fastbook
The fastai book, published as Jupyter Notebooks
broadcast
IPv4 UDP broadcast for all network interfaces in Windows
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
Summer2023-Internships
Collection of Summer 2023 tech internships!
tech-interview-handbook
đź’Ż Curated coding interview preparation materials for busy software engineers
LeetCode-Solutions
🏋️ Python / Modern C++ Solutions of All 2338 LeetCode Problems (Weekly Update)
Python_for_Data_Analysis
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
TheAlgorithms-Cpp
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
TheAlgorithms-Python
All Algorithms implemented in Python
data-science-interviews
Data science interview questions and answers
data-science-interview-questions-and-answers
Data science interview questions with answers. Not ideally (yet)
practical-python
Practical Python Programming (course by @dabeaz)
hackerrank-solutions
A collection of solutions to competitive programming exercises on HackerRank.
AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
practical-statistics-for-data-scientists
Code repository for O'Reilly book
ElementsOfDataScience
An introduction to data science in Python, for people with no programming experience.
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
samples
Sample code referenced by the .NET documentation
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
FAANG
Competitive programming questions.
learn-python3
Jupyter notebooks for teaching/learning Python 3