/Twitter-Data-Analysis

Primary LanguagePython

Twitter-Data-Analysis

So here are the bare minimum requirement for completing this task

  1. Fork repository to your github account
  2. Create a branch called “fix_bug” to fix the bugs in the fix_clean_tweets_dataframe.py and fix_extract_dataframe.py
  3. In branch fix_bug copy or rename fix_clean_tweets_dataframe.py to clean_tweets_dataframe.py and fix_extract_dataframe.py to extract_dataframe.py
  4. Fix the bugs on clean_tweets_dataframe.py and extract_dataframe.py
  5. Multiple times push the code you are working on to git, and once the fix is complete, merge the fix_bug branch to master
  6. Create a new branch called make_unittest for creating a new unit test for extract_dataframe.py code.
  7. After completing the unit test writing, merge “make_unittest” to main branch
  8. In all cases when you merge, make sure you first do Pull Request, review, then accept the merge.
  9. Setup Travis CI to your repository such that when you git push new code (or merge a branch) to the main branch, the unit test in tests/*.py runs automatically. 10. All tests should pass.

After Completing this Challenge, you would have explore

  • Unittesting
  • Modular Coding
  • Software Engineering Best Practices
  • Python Package Structure
  • Bug Fix (Debugging)

Have Fun and Cheers