A weekly Python podcast hosted by Christopher Bailey with interviews, coding tips, and conversation with guests from the Python community. The show covers a wide range of topics including Python programming best practices, career tips, and related software development topics. Join us every Friday morning to hear what's new in the world of Python programming and become a more effective Pythonista.
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Processing Images in Python With Pillow
Are you interested in processing images in Python? Do you need to load and modify images for your Flask or Django website or CMS? Then you most likely will be working with Pillow, the friendly fork of PIL, the Python imaging library. This week on the show, we have Mike Driscoll, who is writing a new book about image processing in Python.
Creating an Interactive Online Python Conference for PyCascades 2021
How do you create a virtual conference that retains the interactivity of an in-person event? What are the tools needed for talk submissions, ticketing, and live hosting? Can you find those tools written in Python? This week on the show, we have several of the organizers of the PyCascades 2021 conference. They share the process of restructuring a Python conference to meet those challenges.
Deep Reinforcement Learning in a Notebook With Jupylet + Gaming and Synthesis
What is it like to design a Python library for three different audiences? This week on the show, we have Nir Aides, creator of Jupylet. His new library is designed for deep reinforcement learning researchers, musicians interested in live music coding, and kids interested in learning to program. Everything is designed to run inside of a Jupyter notebook.
What Is Data Engineering and Researching 10 Million Jupyter Notebooks
Are you familiar with the role data engineers play in the modern landscape of data science and Python? Data engineering is a sub-discipline that focuses on the transportation, transformation, and storage of data. This week on the show, David Amos is back, and he's brought another batch of PyCoder's Weekly articles and projects.
2020 Real Python Articles in Review
It's been quite the year! The Real Python team has written, edited, curated, illustrated, and produced a mountain of Python articles this year. We also upgraded the site and membership with office hours, transcripts, this podcast, and much more. We are joined by two members of the Real Python team, David Amos and Joanna Jablonski. We wanted to share a year-end wrap-up with a collection of articles that showcase a diversity of Python topics and the quality of what our team created this year.
How Python Manages Memory and Creating Arrays With np.linspace
Have you wondered how Python manages memory? How are your variables stored in memory, and when do they get deleted? This week on the show, David Amos is here, and he has brought another batch of PyCoder's Weekly articles and projects. Along with the Real Python article on Python memory management, we also talk about another article about creating even and non-even spaced arrays in Python with np.linspace.
Generators, Coroutines, and Learning Python Through Exercises
Have you started to use generators in Python? Are you unsure why you would even use one over a regular function? How do you use the special "send" method and the "yield from" syntax? This week on the show, we have Reuven Lerner to talk about his PyCon Africa 2020 talk titled "Generators, coroutines, and nanoservices."
Looping With enumerate() and Python GUIs With PyQt
If you're coming to Python from a different language, you may not know about a useful tool for working with loops, Python's built-in enumerate function. This week on the show, David Amos is here, and he has brought another batch of PyCoder's Weekly articles and projects. Along with the Real Python article covering the details of the enumerate function, we also talk about another article about constructing Python graphical user interface elements in PyQt.
Teaching Python and Finding Resources for Students
One of the best ways to learn something well is to teach it. This week on the show, we have Kelly Schuster-Paredes and Sean Tibor from the Teaching Python podcast. Sean and Kelly teach middle school students Python and share their art and science of teaching Python on their podcast. They wanted to come on the show to talk about the Real Python articles, quizzes, and other resources they use when teaching their students.
Sentiment Analysis, Fourier Transforms, and More Python Data Science
Are you interested in learning more about Natural Language Processing? Have you heard of sentiment analysis? This week on the show, Kyle Stratis returns to talk about his new article titled, Use Sentiment Analysis With Python to Classify Movie Reviews. David Amos is also here, and all of us cover another batch of PyCoder’s Weekly articles and projects.
Security and Authorization in Your Python Web Applications
So you built a web application in Python. Now how are you going to authorize users? Security goes beyond authentication. Who gets to do what, where, and when? This week on the show, we have Sam Scott, chief technology officer from Oso. Oso is an open-source policy engine for authorization that you embed in your application.
The Python Modulo Operator & Managing Data With SQLite and SQLAlchemy
Are you ready to move beyond flat files for your data in Python? Maybe you're not sure where to start with databases and SQL. This week on the show, David Amos returns with another batch of PyCoder’s Weekly articles and projects. We cover a Real Python article about managing data with SQLite and SQLAlchemy.
Going Beyond the Basic Stuff With Python and Al Sweigart
You probably have heard of the bestselling Python book, "Automate the Boring Stuff with Python." What are the next steps after starting to dabble in the Python basics? Maybe you've completed some tutorials, created a few scripts, and automated repetitive tasks in your life. This week on the show, we have author Al Sweigart to talk about his new book, "Beyond the Basic Stuff with Python: Best Practices for Writing Clean Code."
Our New "Python Basics" Book & Filling the Gaps in Your Learning Path
Do you have gaps in your Python learning path? If you're like me, you may have followed a completely random route to learn Python. This week on the show, David Amos is here to talk about the release of the Real Python book, "Python Basics: A Practical Introduction to Python 3". The book is designed not only to get beginners up to speed but also to help fill in the gaps many intermediate learners may still have.
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.