The following are notes that I have personally found useful + good for intermediate folks - beyond the references in my other articles!

- Introdution to to Computational Statistics with PyMc3
- An introduction to Bayesian Thinking with R
- Online textbook by Ravin Kumar, Google Data Scientist

- An introduction to Statistical Learning textbook
- The elements of Statistical learning textbook
- Statistics cheatsheet by stanford
- Ml-from-scratch - Github
- Machine learning cheatsheet - Github

- GeeksforGeek - good introduction + various resources for golang
- Tour of golang by the Golang playground
- Various Golangs concepts by examples

- Various exercises on algorithms with python - Github
- Geeks for Geeks Python data structures
- Python Data Structures by Tutorials point (free + read only)
- $$ Educative - Ds + Algo in python
- $$ Educative - Coding Interviews in python
- $$ Pluralsight - graph algo in python