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Description
Python Bytes is a weekly podcast hosted by Michael Kennedy and Brian Okken. The show is a short
discussion on the headlines and noteworthy news in the Python, developer, and data science space.
discussion on the headlines and noteworthy news in the Python, developer, and data science space.
461 Episodes
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1Topics include How to Set Up Pre-Commit Hooks A step-by-step guide to installing and configuring pre-commit hooks on your project, difftastic, Quarto, and constable.
Topics include pacemaker, PyPI suspends new user registration to block malware campaign, Python Project-Local Virtualenv Management Redux, and Python Edge Workers at Cloudflare.
Topics include justpath, , LPython, and dramatic.
Topics include 🤖 On Robots.txt, niquests, Every dunder method in Python, and Lockbox.
Topics include pycountry, Does Python have pointers?, ingestr, and Make your terminal nice.
Topics include 6 ways to improve the architecture of your Python project (using import-linter), Mountaineer, Why Python's Integer Division Floors, and Hatchet.
Topics include zoxide, Smart CLIs with Typer, Python recommended officially by the US Government, and Textual tutorials at Mouse vs Python.
Topics include uv: Python packaging in Rust, jpterm, Everything You Can Do with Python's textwrap Module, and HTML First.
Topics include AppleCrate, One way to package Python code right now, Flask8 but why?, and.
Topics include Dokku, Summary of Major Changes Between Python Versions, speedtest-cli, and.
Topics include Granian, pytest 8 is here, , and New GitHub Copilot Research Finds 'Downward Pressure on Code Quality'
Topics include Syntax Error #11: Debugging Python, umami umami-analytics, pytest-suite-timeout, and Listmonk (py) listmonk.
Topics include Leaving the cloud, PEP 723 - Inline script metadata, Flet for Android, and harlequin: The SQL IDE for Your Terminal.
Topics include Python 3.13 gets a JIT, UniDep - Unified Conda and Pip Dependency Management, Don’t Start Pull Requests from Your Main Branch, and instld: The simplest package management.
Topics include Hatch v1.8, svcs: A Flexible Service Locator for Python, Steering Council 2024 Term Election Results, and Python protocols. When to use them in your projects to abstract and decoupling.
Topics include A Python/Django Advent calendar, Dropbase helps you build internal web apps with Python, Real-world match/case, and.
Topics include Fixit 2: Meta’s next-generation auto-fixing linter, FastUI, Mail list / newsletter conversation, and.
Topics include Habits of great software engineers, Flask 3.0, Build Conway's Game of Life With Python, and polars business.
Topics include The many shapes and sizes of keyboards, appeal - a CLI framework from Larry Hastings, Graphinate: Data to Graphs, and A Disorganized List of Maintainer Tasks.
Topics include exclude_also with coverage.py, Writeside, , and Chrome not proceeding with Web Integrity API deemed by many to be DRM.
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I don't work with python, but I know that for many people developing their own solutions, apps and products and managing those products is more than relevant. I assume pip https://setapp.com/how-to/install-pip-on-mac you use as well, and it's great that there are such solutions for Mac to manage all products as easily and efficiently as possible.
Very good podcast!
sorry, but I can't with so many yawning 😂
I get that str.strip() needs some work. However, for the time being (and to ensure backwards compatibility) surely re.sub() is a solid choice for some of the use cases you guys are discussed no?
can't believe it
Author: Jukka Lehtosalo Sponsor: Guido van Rossum Status: Accepted Version: 3.8 PEP 484 defines the type Dict[K, V] for uniform dictionaries, where each value has the same type, and arbitrary key values are supported. It doesn't properly support the common pattern where the type of a dictionary value depends on the string value of the key. Core idea: Consider creating a type to validate an arbitrary JSON document with a fixed schema Proposed syntax: https://icetutor.com
I think the methodology for the calculation of language popularity is specifically under representative of both R and python. if you check out trends for dplyr (R) or pandas (python) packages for data manipulation, both dwarf the overall language specific searches. I wonder if that bias also partially led to the declining interest in Ruby on Rails.
fgr Dr rhh
Thanks for the kubernetes example, and overall good episode
ypf
As usual, perfect!
I think you missed to highlight all the nice work of realphlython and your podcasts, these are key stuffs for Python in 2018!
The jokes are good but let brian do it. 😂
Congrats Python Bytes. This episode was really great 😎
Joel Grus talk can be found here: https://youtu.be/7jiPeIFXb6U
víbora means in Spanish: snake. umm, just thinking about Phyton
It's intetesting the title is flask but you guys spoke more about Django? kidding? hahaha please dont mess with us《Mico framework fans Thanks
nice, another super good Python postcast