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Python Virtual Environments: Video Tutorial
This video shows you how to create virtual environments in Mac/Linux/Windows. We also include a demo of a new feature in VS Code that works great with them, so you don’t have to set up the interpreter.

PySpark and Parquet: Elegant Python DataFrames and SQL
PySpark has excellent support for querying Par

Apache Airflow: Python ETL and Scheduling Made Easy
Apache Airflow is a powerful and popular scheduling tool in Python for ETL jobs, data engineering, and other tasks. This article gets you started.
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Creating a Python Interactive Plot Using Matplotlib in Jupyter
While static plots tell a story with data, interactive plots let your users explore that story on their own. Simple interactive plots allow for basic operations like scaling or panning a view, which is often necessary to make the data relationships appear at all. More advanced plots allow the user

How to Work With Google Sheets In Python and Pandas
Working with spreadsheets in Python on your local machine is relatively simple. For example, Pandas can open a spreadsheet into a DataFrame using read_excel. To do this, Pandas relies on another package for reading and writing spreadsheets, openpyxl. Once you’ve installed this package using your favorite package manager, the process

Python String Examples: Tutorial and Practice Exercises
This comprehensive tutorials covers creating and using strings, string formatting, and exercises for beginners.

Learn Python: Tutorials from Beginner to Expert
Python, currently the most popular programming language, is a free, open-source, general-purpose language. If you’re looking to learn Python, we have a ton of articles for you! What we’ll do in this article is organize these resources for you, since some are more appropriate for beginners to the Python language

NumPy Examples — Practice Questions Make You an Expert
Have you learned some NumPy, but now your learning has stalled because you don’t have any practice questions or exercises to review what you’ve learned? This practice set of forty-five NumPy examples features NumPy questions in varying degrees of difficulty. Some are very common examples of NumPy arrays, others get

PyCharm vs. VS Code: Which Is Better and Why?
PyCharm and VS Code are two of the top choices for Python IDEs. Learn how they stack up for multiple different features in this in-depth comparison.