Pylenin Weekly #18
Python modules, packages and libraries, working with the logging, datetime and json module and connecting to Google sheets through Google Cloud Console.
Welcome to Pylenin Weekly #18, a newsletter dedicated to improving the lives of my fellow peers through knowledge sharing in the field of programming and data.
This week, I have some awesome articles for you in the field of Python and Data Engineering. Let the learning begin.
Modules, Packages and Libraries in Python
You might have heard these names in Python. A lot of times, you might be using the terms interchangeably!
But it is time to understand what they truly are! Check out this article explaining the true difference between Modules, Packages and Libraries in Python.
A Step-by-Step guide to Python Logging
Logging is one of the most essential requirements of any software development process. Python comes with a great module that provides rich logging features to the user. Check out the article.
Mastering Python datetime
How often does it happen, that you have to work with
time objects in Python and every time, you end up googling!
Not any more! Time for you to master the Python
datetime library, once and for all.
Data Engineering with Python
Working with JSON in Python
JSON is a very important data type that is used all over the internet to exchange information betwwen servers and browsers. So it becomes important to be able to work with JSON files properly.
Check out this article on working with JSON in Python by using the
Connecting Python to Google Sheets
To parse Google Sheets, you have to go through the Google Cloud Console to access the Google Sheets API. Below is a tried and tested step-by-step visual guide to connect to Google Sheets API in Python. Do check it out.
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