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Day to Day discussed external links for future reference

Day0 Pre-Training Resources

  1. Downloading and Installing Jupyter on Windows
  2. Git
  3. Typora

Day02 Discussed Reference Links

  1. Programming Languages Popularity
  2. Python Official Website
  3. Anaconda Software Download → [Windows7 or 8 (64Bit)], [Windows7 or 8 (32Bit)], [Others]
  4. Online Editors:
    1. Google Colab
    2. Repl.it
    3. Kaggle Notebooks
  5. Literature Programming

Day03 Discussed Reference Links

  1. Markdown Cheat Sheet
  2. Math Markdown
  3. The Comprehensive LATEX Symbol List

Day04 Discussed Reference Links

  1. Git Download
  2. Git install → in step 5 use default as vim
  3. GitHub Account Setup
  4. Python Open Source Repo

Day03 Resources

  1. Bash Scriping Cheat Sheet
  2. Doc Formatting
  3. .gitignore Templetes
  4. How to choose a license
  5. Sample Project Document
  6. Portfolio Templetes
  7. GitHub Pages
  8. Open Source Contribution
  9. Open Source Contribution2
  10. Udacity VCS Course
  11. Git Cheatsheet
  12. GitHub Cheatsheet
  13. Student Developer Pack
  14. Web Hosting
  15. Free Git & GitHub Course

Day08 Resources

  1. PEP8 Guidelines
  2. String Method Notes
  1. Built-in Functions
  2. The Python Standard Library
  3. Python Package Index

Data Sources

  1. Kaggle
  2. Google Datset Search Engine
  3. Data.World
  4. UC Irvine Machine Learning Repository

Few more imp. suggestions

  1. Everyone should have professional LinkedIn profile for future job purpose build nice LinkedIn profile.
  2. If you are a programmer you should have GitHub profile with your learnings and projects.
  3. At the end of the day it is not only about learning but we have to apply the things which we have learned. so try to explore more on the concept and also share your knowledge to the community by writing a blog of what you have learned on day to day basis or on entire training program @Medium, or @dev.to, or write an article @LinkedIn.