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.
The Challenges of Developing Into a Python Professional
What's the difference between writing code for yourself and developing for others? What new considerations do you need to take into account as a professional Python developer? This week on the show, we talk to Dane Hillard about his book "Practices of the Python Pro".
Stochastic Gradient Descent and Deploying Your Python Scripts on the Web
Do you know the initial steps to get your Python script hosted on the web? You may have built something with Flask, but how would you stand it up so that you can share it with others? This week on the show, we have the previous guest Martin Breuss back on the show. Martin shares his recent article titled, "Python Web Applications: Deploy Your Script as a Flask App". David Amos also returns, and he's brought another batch of PyCoder's Weekly articles and projects.
Unraveling Python's Syntax to Its Core With Brett Cannon
Do you feel like you understand how Python works under the hood? What is syntactic sugar, and how much of it should be in Python? This week on the show, we have Brett Cannon. Brett is a Python core developer and he's been working on a series of articles where he is unraveling the syntax of Python. His series is a fantastic resource for those wanting to learn how Python is structured and works at its core.
C for Python Developers and Data Visualization With Dash
Are you interested in building interactive dashboards with Python? How about a project that takes a flat data file all the way to a web-hosted interactive dashboard? This week on the show, David Amos is back, and he's brought another batch of PyCoder's Weekly articles and projects.
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.
Customer ReviewsSee All
Great host Christopher Bailey
This Podcast and guests like Michael Kennedy are very good. Lots of opportunity to learn python. Most importantly the magic of this podcast is a result of Christopher Bailey’s listening skills, smooth tone of voice, and easy access to delight and good humor. CB is a 5 star host. I listen to a dozen or so top pod casts, across a broad range of topics, and CB is among the best. CB is able to get his guests to open up, and reveal their pride and pain, related to Python and the broad range of use cases for this delightful full spectrum Programming language called Python. Also a shout out to the team at real python that helps CB deliver.
Great podcast about Python
It is a great way to hear from other folks and their Python journey. You can relate to the guests and they have good advice. I also like the reoccurring questions that you get a variety of answers by the diverse guests.
You should subscribe to this!
Christopher Bailey has really hit his stride! Every episode of this podcast has so much information packed into it that you will want to listen to each episode two or three times, and then spend hours down the rabbit hole of each link to the resources discussed in the episode. You will be a better Python programmer after listening to this podcast!