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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.
487 Episodes
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Topics include Briefer: Dashboards and notebooks in a single place, Introduction to programming with Python, setup-uv, and HTML for people.
1Topics include Python 3.13.0 released Oct 7, PEP 759 – External Wheel Hosting, pytest-freethreaded, and pytest-edit.
Topics include uv under discussion on Mastodon, erdantic: Entity Relationship Diagrams, , and.
Topics include , narwhals, Microsoft wants Three Mile Island to fuel its AI power needs, and zsh-in-docker.
Topics include We must replace uwsgi by something else, Let’s build and optimize a Rust extension for Python, Fake recruiter coding tests target devs with malicious Python packages, and Monthly PSF Board Office Hours.
Topics include , Docker images using uv's python, 10 years of sustainable open source, and humanize.
Topics include Why I Still Use Python Virtual Environments in Docker, Python Developer Survey Results, Anaconda Code add-in for Microsoft Excel, and Disabling Scheduled Dependency Updates.
Topics include , uv 0.3.0 and all the excitement, Top pytest Plugins, and A comparison of hosts / providers for Python serverless functions Faas)
Topics include pyawaitable, Annotated area charts with plotnine, DeltaDB, and PyCon US 2024 Recap + Videos are up.
Topics include uv venv & uv python, Python 3.12.5 released, Compile and use dependencies for multiple Python versions in Tox, and Catalog of Dark Patterns.
Topics include py-free-threading.github.io, Python’s Supportive and Welcoming Environment is Tightly Coupled to Its Progress, Status pages for sites, and PEP 751 – A file format to list Python dependencies for installation reproducibility.
Topics include Python is easy now, Trying out free-threaded Python on macOS, Module itertools overview, and uptime-kuma.
Topics include Marimo: of Notebooks”, pytest 8.3.0 & 8.3.1 are out, Python Language Summit 2024, and bash-dungeon.
Topics include 2024 PSF Board Election & Proposed Bylaw Change Results, SATYRN: A modern Jupyter client for Mac, Incident Report: Leaked GitHub Personal Access Token, and.
Topics include Vendorize packages from PyPI, A Guide to Python's Weak References Using weakref Module, Making Time Speak, and How Should You Test Your Machine Learning Project? A Beginner’s Guide.
Topics include Joining Strings in Python: A Moment, 10 hard-to-swallow truths they won't tell you about software engineer job, My thoughts on Python in Excel, and.
Topics include Solara UI Framework, Coverage at a crossroads, and “Virtual” methods in Python classes.
Topics include , Cloud engineer gets 2 years for wiping ex-employer’s code repos, Python: Import by string with pkgutil.resolve_name(), and DuckDB goes 1.0.
Topics include Dataherald, Python's many command-line utilities, Distroless Python, and functools.cache cachetools cachebox.
Topics include NumPy 2.0 release date is June 16, Uvicorn adds multiprocess workers, pixi, and JupyterLab 4.2 and Notebook 7.2.
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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