The Real Python Podcast
Un podcast de Real Python - Les vendredis
196 Épisodes
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Getting Started With Refactoring Your Python Code
Publié: 09/04/2021 -
Building a Neural Network and How to Write Tests in Python
Publié: 02/04/2021 -
Improving the Learning Experience on Real Python
Publié: 26/03/2021 -
Connecting to MongoDB and Updates on the Python Packaging Landscape
Publié: 19/03/2021 -
Navigating Options for Deploying Your Python Application
Publié: 12/03/2021 -
Consuming APIs With Python and Building Microservices With gRPC
Publié: 05/03/2021 -
The Challenges of Developing Into a Python Professional
Publié: 26/02/2021 -
Stochastic Gradient Descent and Deploying Your Python Scripts on the Web
Publié: 19/02/2021 -
Unraveling Python's Syntax to Its Core With Brett Cannon
Publié: 12/02/2021 -
C for Python Developers and Data Visualization With Dash
Publié: 05/02/2021 -
Processing Images in Python With Pillow
Publié: 29/01/2021 -
Creating an Interactive Online Python Conference for PyCascades 2021
Publié: 22/01/2021 -
Deep Reinforcement Learning in a Notebook With Jupylet + Gaming and Synthesis
Publié: 15/01/2021 -
What Is Data Engineering and Researching 10 Million Jupyter Notebooks
Publié: 08/01/2021 -
2020 Real Python Articles in Review
Publié: 25/12/2020 -
How Python Manages Memory and Creating Arrays With np.linspace
Publié: 18/12/2020 -
Generators, Coroutines, and Learning Python Through Exercises
Publié: 11/12/2020 -
Looping With enumerate() and Python GUIs With PyQt
Publié: 04/12/2020 -
Teaching Python and Finding Resources for Students
Publié: 27/11/2020 -
Sentiment Analysis, Fourier Transforms, and More Python Data Science
Publié: 20/11/2020
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.