- Python for Developers (Otherwise ML Guys)
- Use of
neural networkto underprogram graphsand improveprogram analysis. - My research works needs good understanding of
reinforcement learning&deep-Qnetworks. (This is my major exposure area and focus agenda for ML)
- For Python3 features.
- Frequently used code snippets & examples.
- For Machine Learning Processing using
pytorch,scikit,matplotlib,pandas&numpy.
Some Important Python Concepts & examples
- TopTal : Python Common Mistakes
- DeepSource : Python Gotchas and Mistakes
- Pass by Name : Function Arguments
- Understanding Python Language Features using ASTs
- LLVM Architechture in Python
- Pattern Tutorials
- Fuzzing Tool : Python
- Idiomatic Python
- Tail Recursion
- Read Large Files
- Cool Microservices Example
- AST Parser Visitor
- Python @staticmethod
- MNIST DataSet