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:


JupyterLab for an Enhanced Notebook Experience

In this tutorial, you'll learn how to use the JupyterLab authoring environment and what it brings to the popular computational notebook Jupyter Notebook. You'll learn about its different tools and discover how they can work together to enhance your notebook experience:

→ realpython.com/using-jupyterlab


Python Basics: Modules and Packages

In this Python Basics video course, you'll learn how to build an application by putting related code into separate files called modules. You'll also use the import statement to use modules in another file:

→ realpython.com/courses/python-basics-modules-packages


Make Sourcery Your Pair Programmer - Anytime, Anywhere
Sponsored by Sourcery

Sourcery is your AI-powered pair programmer - helping you with everything from understanding a new project's code, to running automatic code reviews, to writing tests, writing docstrings, and more.

→ Start Your Free Trial Today


Embeddings and Vector Databases With ChromaDB

Vector databases are a crucial component of many NLP applications. This tutorial will give you hands-on experience with ChromaDB, an open-source vector database that's quickly gaining traction. Along the way, you'll learn what's needed to understand vector databases with practical examples:

→ realpython.com/chromadb-vector-database


The Real Python Podcast – Episode #181: Computational Thinking & Learning Python During an AI Revolution

Has the current growth of artificial intelligence (AI) systems made you wonder what the future holds for Python developers? What are the hidden benefits of learning to program in Python and practicing computational thinking? This week on the show, we speak with author Lawrence Gray about his upcoming book "Mastering Python: A Problem Solving Approach.":

→ realpython.com/podcasts/rpp/181


10 Best Practices for Securely Developing with AI
Sponsored by Snyk.io

Walk through some crucial tricks with Snyk's 10 Best Practices for Securely Developing with AI cheat sheet to help you securely embrace AI technology and get some tips for protecting against AI-generated code risks such as prompt injection and data access.

→ Get the Cheat Sheet


PyCoder's Weekly – Get the Latest Python News & Updates

Become a better Pythonista and stay up-to-date with your weekly dose of Python news & projects:

 → pycoders.com or click here to get the latest issue via email


Participate in the Real Python Dev Tools Survey

We'd love to learn more about the development tools you use. Your answers will help us make Real Python even better and more relevant for you. The survey is anonymous & confidential, and should only take about 2-3 minutes to complete:

→ Take the Survey (3 min)


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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