Real Python - New Python tutorials on Real Python

Hey there,

There’s always something going on over at realpython.com as far as Python tutorials go.

Here’s what you may have missed this past week:


Using ggplot in Python: Visualizing Data With plotnine

In this tutorial, you'll learn how to use ggplot in Python to build data visualizations with plotnine. You'll discover what a grammar of graphics is and how it can help you create plots in a very concise and consistent way:

→ realpython.com/ggplot-python


Web Scraping With Beautiful Soup and Python

In this course, you'll walk through the main steps of the web scraping process. You'll learn how to write a script that uses Python's requests library to scrape data from a website. You'll also use Beautiful Soup to extract the specific pieces of information that you're interested in:

→ realpython.com/courses/web-scraping-beautiful-soup


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Data Management With Python, SQLite, and SQLAlchemy

In this tutorial, you'll learn how to store and retrieve data using Python, SQLite, and SQLAlchemy as well as with flat files. Using SQLite with Python brings with it the additional benefit of accessing data with SQL. By adding SQLAlchemy, you can work with data in terms of objects and methods:

→ realpython.com/python-sqlite-sqlalchemy


The Real Python Podcast – Episode #31: Python Return Statement Best Practices and Working With the map() Function

The Python return statement is such a fundamental part of writing functions. Is it possible you missed some best practices when writing your own return statements? This week on the show, David Amos returns with another batch of PyCoder’s Weekly articles and projects. We also talk functional programming again with an article on the Python map function and processing iterables without a loop:

→ realpython.com/podcasts/rpp/31


A lot of time and effort goes into the Real Python team bringing you new and in-depth Python tutorials every week.

Please do us a solid and share your favorite Real Python content to help us spread the word.

Thanks for your time and for being a dedicated reader!

— Dan Bader (realpython.com)

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