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Building a Python Debugger & Preparing for NumPy 2.0

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Manage episode 397728853 series 2637014
Contenido proporcionado por Real Python. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Real Python o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

How does a debugger work? What can you learn about Python by building one from scratch? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.

Christopher shares a two-part tutorial on building a debugger in Python? Creating a simple one requires less code than you might think.

We also talk about an article from Itamar Turner-Trauring about how to prepare for the upcoming changes to NumPy. The new version is not backward compatible and will require some inspection of your project dependencies. Itamar includes advice, techniques, and tools for updating your code.

We also share several other articles and projects from the Python community, including a couple of news items, a discussion about managing advice as a new developer, moving to Python as a former R developer, building a Markov chain to generate readable nonsense, optimizing fonts to individual glyphs on your website, and a project for working with units of measurement in Python.

This week’s episode is brought to you by Posit Connect.

Course Spotlight: Create a Tic-Tac-Toe Python Game Engine With an AI Player

In this video course, you’ll create a universal game engine in Python for tic-tac-toe with two computer players, one of which will be an AI player using the powerful minimax algorithm. You’ll give your game library a text-based graphical interface and explore two front ends.

Topics:

  • 00:00:00 – Introduction
  • 00:02:18 – DjangoCon Europe 2024 CFP Now Open
  • 00:02:38 – Python Insider: Python 3.13.0 alpha 3 is now available
  • 00:03:04 – NumPy 2 Is Coming: Preventing Breakage, Updating Your Code
  • 00:07:37 – Using a Markov Chain to Generate Readable Nonsense
  • 00:12:53 – Sponsor: Posit Connect
  • 00:13:43 – Python Rgonomics
  • 00:20:10 – Let’s Create a Python Debugger Together
  • 00:23:49 – Video Course Spotlight
  • 00:25:08 – Advice for New Devs Who’ve Read Other Advice Essays
  • 00:42:44 – Fontimize: Optimize Fonts to the Glyphs on Your Site
  • 00:44:57 – Pint: Units for Python
  • 00:46:55 – Thanks and Goodbye

News:

Show Links:

Discussion:

Projects:

Additional Links:

Level up your Python skills with our expert-led courses:

Support the podcast & join our community of Pythonistas

  continue reading

205 episodios

Artwork
iconCompartir
 
Manage episode 397728853 series 2637014
Contenido proporcionado por Real Python. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Real Python o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

How does a debugger work? What can you learn about Python by building one from scratch? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.

Christopher shares a two-part tutorial on building a debugger in Python? Creating a simple one requires less code than you might think.

We also talk about an article from Itamar Turner-Trauring about how to prepare for the upcoming changes to NumPy. The new version is not backward compatible and will require some inspection of your project dependencies. Itamar includes advice, techniques, and tools for updating your code.

We also share several other articles and projects from the Python community, including a couple of news items, a discussion about managing advice as a new developer, moving to Python as a former R developer, building a Markov chain to generate readable nonsense, optimizing fonts to individual glyphs on your website, and a project for working with units of measurement in Python.

This week’s episode is brought to you by Posit Connect.

Course Spotlight: Create a Tic-Tac-Toe Python Game Engine With an AI Player

In this video course, you’ll create a universal game engine in Python for tic-tac-toe with two computer players, one of which will be an AI player using the powerful minimax algorithm. You’ll give your game library a text-based graphical interface and explore two front ends.

Topics:

  • 00:00:00 – Introduction
  • 00:02:18 – DjangoCon Europe 2024 CFP Now Open
  • 00:02:38 – Python Insider: Python 3.13.0 alpha 3 is now available
  • 00:03:04 – NumPy 2 Is Coming: Preventing Breakage, Updating Your Code
  • 00:07:37 – Using a Markov Chain to Generate Readable Nonsense
  • 00:12:53 – Sponsor: Posit Connect
  • 00:13:43 – Python Rgonomics
  • 00:20:10 – Let’s Create a Python Debugger Together
  • 00:23:49 – Video Course Spotlight
  • 00:25:08 – Advice for New Devs Who’ve Read Other Advice Essays
  • 00:42:44 – Fontimize: Optimize Fonts to the Glyphs on Your Site
  • 00:44:57 – Pint: Units for Python
  • 00:46:55 – Thanks and Goodbye

News:

Show Links:

Discussion:

Projects:

Additional Links:

Level up your Python skills with our expert-led courses:

Support the podcast & join our community of Pythonistas

  continue reading

205 episodios

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