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: 7210

  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.
• #234: Awesome Python Applications

  • Rank: 3
  • 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: 4
  • 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: 5
  • 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.
• #228: Hunting bugs and tech startups with Python

  • Rank: 6
  • 2019-09-04
  • Score: 6000

  What's it's like building a startup with Python and going through a tech accelerator? You're about to find out. On this episode you'll meet Elissa Shevinsky from Faster Than Light. They are building a static code analysis as a service business for Python and other code bases. We touch on a bunch of fun topics including static code analysis entrepreneurship and tech accelerators.
• #252: What scientific computing can learn from CS

  • Rank: 7
  • 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: 8
  • 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: 9
  • 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.
• #229: Building advanced Pythonic interviews with docassemble

  • Rank: 10
  • 2019-09-12
  • Score: 5402

  On this episode we dive into Python for lawyers and a special tool for conducting legal interviews. Imagine you have to collect details for 20000 participants in a class-action lawsuit. docassemble a sweet Python web app can do it for you with easy.
• #262: Build a career in data science

  • Rank: 11
  • 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.
• #395: Tools for README.md Creation and Maintenance

  • Rank: 12
  • 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.
• #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.
• #294: oso authorizes Python

  • Rank: 14
  • 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.
• #251: Building and UX Testing Azure's Python SDK

  • Rank: 15
  • 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.