Adding video on 'Making code modular'

yml-blog · Oct 5, 2019 · c4fc8e9 · c4fc8e9
1 parent 3e57b47
commit c4fc8e9
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/Programming-in-Python.md b/Programming-in-Python.md
@@ -77,7 +77,7 @@
 - [SO: Python coding standards/best practices](https://stackoverflow.com/questions/356161/python-coding-standards-best-practices)
 - [Python Best Practices: 5 Tips For Better Code - Airbrake Blog](https://airbrake.io/blog/python/python-best-practices)
 - [Python tutorial: Best practices and common mistakes to avoid](https://jaxenter.com/python-tutorial-best-practices-145959.html)
-- [Six steps to more professional data science code notebook on Kaggle by Rachael Tateman](https://kaggle.intercom-mail.com/via/e?ob=ktkgCmdq8TTLcC0KcRnaTDrpfyNmo93hWgJS%2Bf3C%2FpeXDMn5IliXwMPCgGeVFtngYeGLq2r3zzpfPOt1R2SLUvPz%2BOZl6ye5CNrx98D279Mjy%2BDCxeLTcN3rL%2BXuXvYPwdMeFoEliM4ujTLctPU1Rb2Kt8AOwN30PYPGdMZPPhxkha%2BlQ9oixCrQILf%2BWqOTvh59huu9yn%2BqmDKPk9wcnA%3D%3D&h=6b05c8a50ab9ff60c7c061020cc5428a92dce16c-23895383563) | [Video: 6 Steps for More Professional Data Science Code | Kaggle](https://www.youtube.com/watch?v=Trar7GZOPl8&feature=youtu.be&utm_medium=email&utm_source=intercom&utm_campaign=modular-code-event) | [Import scripts into notebook kernels](https://www.kaggle.com/product-feedback/91185) | [Documentation on Python modules](https://docs.python.org/3/tutorial/modules.html) | [DocStrings](https://www.python.org/dev/peps/pep-0257/) | [Don't Repeat Yourself (DRY)](https://en.wikipedia.org/wiki/Don%27t_repeat_yourself) | [PEP 8](https://www.python.org/dev/peps/pep-0008/) | [Joy of Functional programming for Data Science](https://www.youtube.com/watch?v=bzUmK0Y07ck) | [Method Chaining in Python using pyjanitor](https://pyjanitor.readthedocs.io/notebooks/pyjanitor_intro.html#Clean-up-our-data-using-a-pyjanitor-method-chaining-pipeline) | [pyjanitor docs](https://pyjanitor.readthedocs.io/notebooks/pyjanitor_intro.html#Clean-up-our-data-using-a-pyjanitor-method-chaining-pipeline) | [Code reviewing Data Science work](https://medium.com/apteo/code-reviewing-data-science-work-774747248e33) | [Python built-in method: assert](https://docs.python.org/3/reference/simple_stmts.html#the-assert-statement) | [Code Smells](https://en.wikipedia.org/wiki/Code_smell) | [Kaggle Coffee Chat: Joel Grus | Kaggle: software engineering best practices](https://www.youtube.com/watch?v=Sg6xJ0ACc78) | [Scripting-your-data-validation notebook: Automating Data Pipelines](https://www.kaggle.com/rtatman/automating-data-pipelines-day-2#Scripting-your-data-validation) | [Dashboarding with Notebooks: Day 5](https://www.kaggle.com/rtatman/dashboarding-with-notebooks-day-5) | [Kaggle Scripts](https://www.kaggle.com/kernels?sortBy=hotness&group=everyone&pageSize=20&tagIds=16074) | [Regular Expressions](https://en.wikipedia.org/wiki/Regular_expression)
+- [Six steps to more professional data science code notebook on Kaggle by Rachael Tateman](https://kaggle.intercom-mail.com/via/e?ob=ktkgCmdq8TTLcC0KcRnaTDrpfyNmo93hWgJS%2Bf3C%2FpeXDMn5IliXwMPCgGeVFtngYeGLq2r3zzpfPOt1R2SLUvPz%2BOZl6ye5CNrx98D279Mjy%2BDCxeLTcN3rL%2BXuXvYPwdMeFoEliM4ujTLctPU1Rb2Kt8AOwN30PYPGdMZPPhxkha%2BlQ9oixCrQILf%2BWqOTvh59huu9yn%2BqmDKPk9wcnA%3D%3D&h=6b05c8a50ab9ff60c7c061020cc5428a92dce16c-23895383563) | [Video: 6 Steps for More Professional Data Science Code | Kaggle](https://www.youtube.com/watch?v=Trar7GZOPl8&feature=youtu.be&utm_medium=email&utm_source=intercom&utm_campaign=modular-code-event) | [Import scripts into notebook kernels](https://www.kaggle.com/product-feedback/91185) | [Kaggle Live Coding: Making code modular | Kaggle](https://www.youtube.com/watch?v=5zgxMgG4A7o) | [Documentation on Python modules](https://docs.python.org/3/tutorial/modules.html) | [DocStrings](https://www.python.org/dev/peps/pep-0257/) | [Don't Repeat Yourself (DRY)](https://en.wikipedia.org/wiki/Don%27t_repeat_yourself) | [PEP 8](https://www.python.org/dev/peps/pep-0008/) | [Joy of Functional programming for Data Science](https://www.youtube.com/watch?v=bzUmK0Y07ck) | [Method Chaining in Python using pyjanitor](https://pyjanitor.readthedocs.io/notebooks/pyjanitor_intro.html#Clean-up-our-data-using-a-pyjanitor-method-chaining-pipeline) | [pyjanitor docs](https://pyjanitor.readthedocs.io/notebooks/pyjanitor_intro.html#Clean-up-our-data-using-a-pyjanitor-method-chaining-pipeline) | [Code reviewing Data Science work](https://medium.com/apteo/code-reviewing-data-science-work-774747248e33) | [Python built-in method: assert](https://docs.python.org/3/reference/simple_stmts.html#the-assert-statement) | [Code Smells](https://en.wikipedia.org/wiki/Code_smell) | [Kaggle Coffee Chat: Joel Grus | Kaggle: software engineering best practices](https://www.youtube.com/watch?v=Sg6xJ0ACc78) | [Scripting-your-data-validation notebook: Automating Data Pipelines](https://www.kaggle.com/rtatman/automating-data-pipelines-day-2#Scripting-your-data-validation) | [Dashboarding with Notebooks: Day 5](https://www.kaggle.com/rtatman/dashboarding-with-notebooks-day-5) | [Kaggle Scripts](https://www.kaggle.com/kernels?sortBy=hotness&group=everyone&pageSize=20&tagIds=16074) | [Regular Expressions](https://en.wikipedia.org/wiki/Regular_expression)
 - Packages & Libraries: [Cerberus module](http://docs.python-cerberus.org/en/stable/usage.html) | [missingno package](https://github.com/ResidentMario/missingno) | [python-magic module](https://github.com/ahupp/python-magic) | [Python Flashtext](https://flashtext.readthedocs.io/en/latest/) | [Flashtext github](https://github.com/vi3k6i5/flashtext#why-not-regex) | [Forum post embeddings + clustering](https://www.kaggle.com/rtatman/forum-post-embeddings-clustering)
 
 ## Testing