The Real Python Podcast
A podcast by Real Python - Fridays
196 Episodes
-  Getting Started With Refactoring Your Python CodePublished: 4/9/2021
-  Building a Neural Network and How to Write Tests in PythonPublished: 4/2/2021
-  Improving the Learning Experience on Real PythonPublished: 3/26/2021
-  Connecting to MongoDB and Updates on the Python Packaging LandscapePublished: 3/19/2021
-  Navigating Options for Deploying Your Python ApplicationPublished: 3/12/2021
-  Consuming APIs With Python and Building Microservices With gRPCPublished: 3/5/2021
-  The Challenges of Developing Into a Python ProfessionalPublished: 2/26/2021
-  Stochastic Gradient Descent and Deploying Your Python Scripts on the WebPublished: 2/19/2021
-  Unraveling Python's Syntax to Its Core With Brett CannonPublished: 2/12/2021
-  C for Python Developers and Data Visualization With DashPublished: 2/5/2021
-  Processing Images in Python With PillowPublished: 1/29/2021
-  Creating an Interactive Online Python Conference for PyCascades 2021Published: 1/22/2021
-  Deep Reinforcement Learning in a Notebook With Jupylet + Gaming and SynthesisPublished: 1/15/2021
-  What Is Data Engineering and Researching 10 Million Jupyter NotebooksPublished: 1/8/2021
-  2020 Real Python Articles in ReviewPublished: 12/25/2020
-  How Python Manages Memory and Creating Arrays With np.linspacePublished: 12/18/2020
-  Generators, Coroutines, and Learning Python Through ExercisesPublished: 12/11/2020
-  Looping With enumerate() and Python GUIs With PyQtPublished: 12/4/2020
-  Teaching Python and Finding Resources for StudentsPublished: 11/27/2020
-  Sentiment Analysis, Fourier Transforms, and More Python Data SciencePublished: 11/20/2020
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.
