Best The Python Podcast.__init__ Episodes

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

• #231: Advice for freelancing with Python

  • Rank: 1
  • 2019-09-25
  • Score: 7208

  Have you ever wanted to get into consulting? Maybe you're seeking the freedom to work on whatever project you'd like or gain more control of your time.
• #264: 10 tips every Flask developer should know

  • Rank: 2
  • 2020-05-12
  • Score: 6336

  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.
• #224: 12 lessons from 100 days of web

  • Rank: 3
  • 2019-08-05
  • Score: 6264

  Back in May of 2018 Bob Belderbos Julian Sequeira and I started on what would be a 9-month project. We wanted to create a dedicated 100 days of code course specifically for Python web developers. Much of what we created for that course we had prior experience with. But much of it was also new to us.
• #234: Awesome Python Applications

  • Rank: 4
  • 2019-10-15
  • Score: 6214

  Have you heard of awesome lists? They are well pretty awesome! Gathering up the most loved libraries and packages for a given topic.
• #246: Practices of the Python Pro

  • Rank: 5
  • 2020-01-09
  • Score: 6183

  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?
• #364: Symbolic Math with Python using SymPy

  • Rank: 6
  • 2022-05-07
  • Score: 6096

  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.
• #227: Maintainable data science: Tips for non-developers

  • Rank: 7
  • 2019-08-28
  • Score: 6049

  Did you come to software development outside of traditional computer science? This is common and even how I got into programming myself. I think it's especially true for data science and scientific computing. That's why I'm thrilled to bring you an episode with Daniel Chen about maintainable data science tips and techniques.
• #225: Can subinterpreters free us from Python's GIL?

  • Rank: 8
  • 2019-08-12
  • Score: 5868

  Have you heard that Python is not good for writing concurrent asynchronous code? This is generally a misconception. But there is one class of parallel computing that Python is not good at: CPU bound work running the Python layer.
• #252: What scientific computing can learn from CS

  • Rank: 9
  • 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?
• #243: Python on Windows is OK actually

  • Rank: 10
  • 2019-12-17
  • Score: 5565

  We all love the Python language. But it's the 200000+ 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.
• #244: Top 10 Real Python Articles of 2019

  • Rank: 11
  • 2019-12-27
  • Score: 5428

  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.
• #262: Build a career in data science

  • Rank: 12
  • 2020-05-01
  • Score: 4905

  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.
• #255: Talking to cars with Python

  • Rank: 13
  • 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.
• #395: Tools for README.md Creation and Maintenance

  • Rank: 14
  • 2022-12-22
  • Score: 4742

  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.
• #294: oso authorizes Python

  • Rank: 15
  • 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.