JAVAPRO’s Post

The simplest way to build scalable data pipelines in Python (like 10k vCPU scale) 📌 Burla Achieves Record-Breaking Performance on Trillion Row Challenge A developer has set a new benchmark for distributed data processing by completing the Trillion Row Challenge in 76 seconds using an open-source Python framework named Burla. According to [the project's documentation](https://docs. 🔗 Read more: https://lnkd.in/dcYfqPf2 #Python #TechNews

AI can write your Python code. But can you tell when it wrote bad Python code? The developers who understand Python deeply are the ones reviewing, debugging, and architecting what AI produces. https://lnkd.in/dVX8ssm8

In the Python world, we call clean, idiomatic code "Pythonic." Does this mean elegant REXX code is "REXXonic"? #REXX #Python #Mainframe #REXXonic

Dealing with missing values in Python. 👨🏿💻 📊 Since the columns contain numeric values, the missing values were replaced with each column's mean (average) to keep them within reasonable range. #Python #PythonForDataScience #DataAnalytics #Pandas #DataCleaning

Livebook and Elixir Enable Distributed Python Dataframes for Machine Learning Workflows 📌 Livebook and Elixir now let you run distributed Python dataframes seamlessly across nodes-no more copying data or syncing environments. With Apache Arrow for zero-copy transfers and Pythonx for Elixir-Python interoperability, ML workflows get faster, lighter, and more flexible. Developers can scale Python code in Kubernetes or Fly.io with just a few lines of Elixir. 🔗 Read more: https://lnkd.in/dmqwzJR2 #Livebook #Elixir #Python #Machinelearning

Okay, I guess I'm still learning Python. I never heard about this Cool Python feature. The := operator in Python is called the Walrus operator. 

🚀 What’s happening in Django & Python? (Week 9, 2026) This week’s updates are actually pretty wild—especially if you're into AI pipelines or high-performance Python. Here’s the breakdown: 🎸 The Django Side Control Room is a lifesaver: You can finally manage Redis and cache panels directly from the Django admin. No more jumping between tools to see what’s happening under the hood. 🛠️ Django-guardian 3.3.0: It’s now ready for Python 3.14. Plus, they’ve cut down on DB queries for permissions, which is a huge win for performance. ✨ AI Pipelines are evolving: There’s a new workflow using Firecrawl and Pydantic AI agents. If you're building directory sites, this basically automates the headache of data extraction and validation. 🤖 GSoC 2026: Django is officially back as a mentoring org! If you’ve been wanting to contribute to open source, now is the time to prep. 🎓 🐍 The Python Side Starlette 1.0.0rc1: Can you believe it’s been 8 years? The first release candidate for 1.0.0 is finally out. Huge milestone for the ecosystem. 🥂 Free-threaded Python (Barq): This one is for the performance geeks. Barq is an experimental HTTP library skipping the usual async models to explore true parallelism. ⚡ Type Grammar (PEP 827): Python typing is getting even more flexible with conditional expressions and new annotations. 💻 City2Graph: If you work with ML and maps, check this out. It turns geospatial data into graph structures, making it way easier to process.🗺️ Personal Take: That AI Content Pipeline is probably the biggest productivity hack on this list if you’re doing any kind of web scraping or data curation right now. ⏳ #Python #Django #WebDev #OpenSource #AI #SoftwareEngineering #code2encoder

1. Simple Function (No Parameters) Python def greet(): print("Hello! Welcome to Python Functions.") greet() # Output: # Hello! Welcome to Python Functions.

CCX Announces Static Compilation of Python Syntax to C++ Executables 📌 CCX lets you compile Python-like code directly into blazing-fast C++ executables, bypassing Python’s interpreter entirely. No runtime overhead, no garbage collection - just pure performance with Python’s syntax and speed. Perfect for developers who want to prototype fast but execute native. 🔗 Read more: https://lnkd.in/dEcYujDx #Ccx #Python #Cplusplus #Staticcompilation #Clang

Python uses packages to extend functionality and the Python Package Index (PyPI) have published a blog summarising statistics for 2025. It’s an interesting read… #python #pypi #developer #package #library https://lnkd.in/gdY6TmC9