driscollis (@driscollis@mastodon.social)
Did you know that #Python's `print()` function has extra parameters?
You can use `sep` to add a separator and `end` to add an ending string.
There are some other params too that I might talk about in a future tweet!
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post (@post@programming.dev)
Data Structures Made Clear
https://programming.dev/post/41014810
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rye (@rye@ioc.exchange)
A great interview about Marimo with Pybites.
https://www.youtube.com/watch?v=6ieymfumg6g&t=21s
#python #pybites #programming #marimo
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mathsppblog (@mathsppblog@fosstodon.org)
Who can guess what my upcoming #Python article is about?
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bterwijn (@bterwijn@fosstodon.org)
Data structures in Python become much easier to understand when students can see the structure of their data visualized using memory_graph. A data structure is no longer an abstract idea but concrete, clear and debuggable. Here’s a live demo of a Linear Linked List: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph/refs/heads/main/src/linked_list_lin.py&breakpoints=27&continues=1×tep=0.2&play
#Python #programming #memory_graph #linkedlist
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lobsters (@lobsters@mastodon.social)
Twenty years of Django releases via @webology https://lobste.rs/s/idtphq #python #web
https://www.djangoproject.com/weblog/2025/nov/19/twenty-years-of-django-releases/
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GripNews (@GripNews@mastodon.social)
🌗 是什麼扼殺了 Perl？
➤ 探究 Perl 語言的使用者斷層與時代演變
✤ https://entropicthoughts.com/what-killed-perl
作者探討了 Perl 語言的沒落原因。儘管 Perl 的使用量並未大幅下滑，尤其是在伺服器基礎設施方面，但新進程式設計師對其的接受度卻顯著下降。文章認為，這並非 Raku（Perl 6）的影響，而是由於新一代程式設計師成長於不同的技術環境（如 Microsoft、Java），並更易接觸 Python 等語言。此外，現代便捷的套件管理器和豐富的開發工具，也讓其他新興語言（如 Rust、Kotlin、Go）更容易被採用，進而削弱了 Perl 的吸引力。總之，Perl 的衰退源於程式設計師世代的轉變以及當今易於獲取的多樣化程式語言選擇。
+ 這篇文章觸及了許多開發者的痛點，當年 Perl 的確是很多系統的基石，但後繼無人確實是個問題。
+ 作者的觀點很有啟發性。我同意新一代的開發者不太可能從零開始接觸 Perl，除非有特定需求。
#程式語言 #Perl #Python #Raku #程式設計師世代
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chrisphan (@chrisphan@hachyderm.io)
I made a thing: https://chrisphan.com/posts/2025-11-19_pwn_checker.html
It's a #TUI app queries the #API for @troyhunt 's Pwned Passwords service.
I wrote it in #python using @willmcgugan 's wonderful #Textual package.
Available on @codeberg, under an MIT license: https://codeberg.org/christopherphan/pwn_checker
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TechKeysX (@TechKeysX@mastodon.social)
V - S1 EP8 T6 - Machine Learning in Python - Storing Lines as Variables - with Matplotlib #softwaredeveloper #jupyternotebook #statistics #algorithims #codingforbeginners #jupyterlabs #pythoncoding #machinelearningtutorial #datascienceforbeginners #vscode #python #mlforbeginners #machinelearningbasics #machinelearning #learnpython #PythonForDataScience #datascience #aiexplained #dataengineering #machinelearningmodels
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rye (@rye@ioc.exchange)
Trying something totally different with python and creating learning materials.
https://rye.wentcloud.com/en/ltp/repl/
Will cover more things, open to requests.
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pytexas (@pytexas@fosstodon.org)
Ever wondered what makes #pytest so powerful? 🧠
This #PyTexasConference2025 talk breaks it down—by building a #python test framework from scratch!
Discover the “why” behind runners, assertions & structure.
🎥 Watch the replay and master testing from the inside out!
https://www.pytexas.org/2025/schedule/talks/#building-a-test-framework-from-scratch-or-not
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