Best_CheatSheets

This is a list of useful cheat sheets for people working in fields such as machine learning, deep learning, computer and software engineering, and data science. Feel free to suggest more useful links.

Software Engineering

• UML design : https://www.cheatography.com/cheatography/cheat-sheets/uml-quick-reference/
• Design patterns : http://viralpatel.net/blogs/download/design-pattern-scard.pdf
• Agile: http://cheatsheetworld.com/programming/agile-development-cheat-sheet/
• Git: http://files.zeroturnaround.com/pdf/zt_git_cheat_sheet.pdf
• JUnit (unit tests): http://files.zeroturnaround.com/pdf/zt_junit_cheat_sheet.pdf
• Markdown (for doc): https://guides.github.com/pdfs/markdown-cheatsheet-online.pdf

Python

• NumPy : https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Numpy_Python_Cheat_Sheet.pdf
• SciPy : http://datacamp-community.s3.amazonaws.com/5710caa7-94d4-4248-be94-d23dea9e668f
• Matplotlib : http://datacamp-community.s3.amazonaws.com/28b8210c-60cc-4f13-b0b4-5b4f2ad4790b
• Pandas: http://datacamp-community.s3.amazonaws.com/9f0f2ae1-8bd8-4302-a67b-e17f3059d9e8
• Jupyter Notebooks (IPython): http://datacamp-community.s3.amazonaws.com/48093c40-5303-45f4-bbf9-0c96c0133c40
• Seaborn (visualization library for high quality graphics): http://datacamp-community.s3.amazonaws.com/f9f06e72-519a-4722-9912-b5de742dbac4
• PySpark: http://datacamp-community.s3.amazonaws.com/65076e3c-9df1-40d5-a0c2-36294d9a3ca9

Machine Learning

• Scikit-learn: http://datacamp-community.s3.amazonaws.com/5433fa18-9f43-44cc-b228-74672efcd116
• Scikit-learn 2: https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463
• Useful math for machine learning: https://www.math.uwaterloo.ca/~hwolkowi/matrixcookbook.pdf

Deep Learning

• Neural Networks: https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463
• Neural Network Graphs: https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463
• TensorFlow: https://aicheatsheets.com/static/pdfs/tensorflow_v_2.0.pdf
• Keras: http://datacamp-community.s3.amazonaws.com/94fc681d-5422-40cb-a129-2218e9522f17
• PyTorch: https://www.sznajdman.com/wp-content/uploads/2018/02/pytorch-cheat.jpg
• The Deep Learning Book: https://www.deeplearningbook.org/

Linux & Shell Bash

• Useful standard Linux commands: http://cheatsheetworld.com/programming/unix-linux-cheat-sheet/
• Bash Scripting: https://devhints.io/bash

Programming

• C++: http://web.pa.msu.edu/people/duxbury/courses/phy480/Cpp_refcard.pdf
• C++ (including main OOP notions): https://www.cs.ccu.edu.tw/~damon/oop/,c++refcard.pdf
• Java: https://introcs.cs.princeton.edu/java/11cheatsheet/
• Java (2): https://github.com/in28minutes/java-cheat-sheet

Other Useful Links

• Collection of various machine learning related cheat sheets from the CS-229 course (Stanford): https://github.com/afshinea/stanford-cs-229-machine-learning