Best The Python Podcast.__init__ Episodes

These are the top ten episodes of The Python Podcast.__init__ as chosen by our algorithm. Rankings are recalculated daily. How it works.

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  #264: 10 tips every Flask developer should know

  Rank: 1 2020-05-12 Score: 6339

  Are you a web developer who uses Flask? It has become the most popular Python web framework. Even if you have used it for years, I bet we cover at least one thing that will surprise you and make your Flask code better.
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  #246: Practices of the Python Pro

  Rank: 2 2020-01-09 Score: 6188

  When you can call yourself a professional developer? Sure, getting paid to write code is probably part of the formula. But when is your skillset up to that level?
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  #364: Symbolic Math with Python using SymPy

  Rank: 3 2022-05-07 Score: 6097

  We're all familiar with the data science tools like numpy, pandas, and others. These are numerical tools working with floating point numbers, often to represent real-world systems. But what if you exactly specify the equations, symbolically like many of us did back in Calculus and Differential Equations courses? With SymPy, you can do exactly that. Create equations, integrate, differentiate, and solve them. Then you can convert those solutions into Python (or even C++ and Fortran code). We're here with two of the core maintainer: Ondřej Čertík and Aaron Meurer to learn all about SymPy.
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  #236: Scaling data science across Python and R

  Rank: 4 2019-10-29 Score: 5737

  Do you do data science? Imagine you work with over 200 data scientists. Many of whom have diverse backgrounds or have come from non-CS backgrounds. Some of them want to use Python. Others are keen to work with R.
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  #252: What scientific computing can learn from CS

  Rank: 5 2020-02-21 Score: 5655

  Did you come into Python from a computational science side of things? Were you just looking for something better than Excel or Matlab and got pulled in by all the Python has to offer?
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  #243: Python on Windows is OK, actually

  Rank: 6 2019-12-17 Score: 5565

  We all love the Python language. But it's the 200,000+ packages that actually make Python incredibly useful and productive. But installing these libraries and sometimes even Python itself can vary across platforms. In particular, Windows has had a hard time.
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  #244: Top 10 Real Python Articles of 2019

  Rank: 7 2019-12-27 Score: 5432

  We've come to the end of 2019. Python 2 has just a handful of days before it goes unsupported. And I've met up with Dan Bader from RealPython.com to look back at the year of Python articles on his website. We dive into the details behind 10 of his most important articles from the past year.
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  #235: Python in your Browser with Skulpt

  Rank: 8 2019-10-23 Score: 5422

  Do you dream of a day when you can write Python in the browser rather than JavaScript? This is no pipe dream! There are several ways to write Python that runs in the browser already.
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  #262: Build a career in data science

  Rank: 9 2020-05-01 Score: 4910

  Has anyone told you that you should get into data science? Have you heard it's a great career? In fact, data scientist is the best job in America according to Glassdoor's 2018 rankings.
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  #395: Tools for README.md Creation and Maintenance

  Rank: 10 2022-12-22 Score: 4744

  If you maintain projects on places like GitHub, you know that having a classy readme is important and that maintaining a change log can be helpful for you and consumers of the project. It can also be a pain. That's why I'm excited to welcome back Ned Batchelder to the show. He has a lot of tools to help here as well as some opinions we're looking forward to hearing. We cover his tools and a bunch of others he and I found along the way.
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  #255: Talking to cars with Python

  Rank: 11 2020-03-14 Score: 4743

  Modern cars have become mobile computer systems with many small computers running millions of lines of code. On this episode, we plug a little Python into those data streams.
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  #294: oso authorizes Python

  Rank: 12 2020-12-07 Score: 4692

  When we think about accounts and security, we often think about identity (logging in and proving who you are). But for many applications, especially internal apps at large organizations, that's just step one. The next step is what can you do and what can you not do.
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  #251: Building and UX Testing Azure's Python SDK

  Rank: 13 2020-02-13 Score: 4647

  What does it take to build a Python library that will be used by a large number of developers? This happens all the in open source. Projects take off and become wildly successful.
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  #279: Modern Python Developer's Toolkit

  Rank: 14 2020-08-29 Score: 4606

  Python is quick and easy to learn. And yet, there is a massive gap between knowing the common aspects of the language (loops, variables, functions, and so on) and how to write a well-factored application using modern tools and libraries. That's where learning Python is a never-ending journey.
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  #392: Data Science from the Command Line

  Rank: 15 2022-12-02 Score: 4606

  When you think data science, Jupyter notebooks and associated tools probably come to mind. But I want to broaden your toolset a bit and encourage you to look around at other tools that are literally at your fingertips. The terminal and shell command line tools. On this episode, you'll meed Jeroen Janssens. He wrote the book Data Science on The Command Line Book and there are a bunch of fun and useful small utilities that will make your life simpler that you can run immediately in the terminal. For example, you can query a CSV file with SQL right from the command line.