The Real Python Podcast
En podcast af Real Python - Fredage
196 Episoder
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Getting Started With Refactoring Your Python Code
Udgivet: 9.4.2021 -
Building a Neural Network and How to Write Tests in Python
Udgivet: 2.4.2021 -
Improving the Learning Experience on Real Python
Udgivet: 26.3.2021 -
Connecting to MongoDB and Updates on the Python Packaging Landscape
Udgivet: 19.3.2021 -
Navigating Options for Deploying Your Python Application
Udgivet: 12.3.2021 -
Consuming APIs With Python and Building Microservices With gRPC
Udgivet: 5.3.2021 -
The Challenges of Developing Into a Python Professional
Udgivet: 26.2.2021 -
Stochastic Gradient Descent and Deploying Your Python Scripts on the Web
Udgivet: 19.2.2021 -
Unraveling Python's Syntax to Its Core With Brett Cannon
Udgivet: 12.2.2021 -
C for Python Developers and Data Visualization With Dash
Udgivet: 5.2.2021 -
Processing Images in Python With Pillow
Udgivet: 29.1.2021 -
Creating an Interactive Online Python Conference for PyCascades 2021
Udgivet: 22.1.2021 -
Deep Reinforcement Learning in a Notebook With Jupylet + Gaming and Synthesis
Udgivet: 15.1.2021 -
What Is Data Engineering and Researching 10 Million Jupyter Notebooks
Udgivet: 8.1.2021 -
2020 Real Python Articles in Review
Udgivet: 25.12.2020 -
How Python Manages Memory and Creating Arrays With np.linspace
Udgivet: 18.12.2020 -
Generators, Coroutines, and Learning Python Through Exercises
Udgivet: 11.12.2020 -
Looping With enumerate() and Python GUIs With PyQt
Udgivet: 4.12.2020 -
Teaching Python and Finding Resources for Students
Udgivet: 27.11.2020 -
Sentiment Analysis, Fourier Transforms, and More Python Data Science
Udgivet: 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.