Python Tutorial

Learn how to construct and implement Convolutional Neural Networks (CNNs) in Python with Tensorflow Framework 2

Build your recommendation engine with the help of Python, from basic models to content-based and collaborative filtering recommender systems.

This article covers different ways to import text files into Python using Python, NumPy, and Python’s built-in methods. It also covers how to convert these into lists.

Learn how to read and import Excel files in Python, write data to these spreadsheets, and find the best packages to do this.

Learn what variable scopes are all about and get familiar with the 'LEGB' rule. You will also deal with scenarios where you'll get to see the global and nonlocal keywords in action.

Learn what is Python IDLE (Integrated Development and Learning Environment) is, how you can install it, and leverage its various features for writing your Python programs.

Learn about type checking, different types of the type system in various languages along with duck typing, and type hinting.

Learn the basic concepts of threading and how you can use it with the help of Python.

Learn how to create data visualizations in Python using Altair and a Movies Dataset.

Learn about web scraping with python and how to scrape Amazon, with the help of the Beautiful Soup library.

Learn about Python Docstrings. Find different examples & format types of docstrings for Sphinx, Numpy and Pydoc.

Learn why there is a need for documenting code and best practices to do it. Further, learn to leverage the potential of the Pydoc module for documenting purposes.