NumPy 2.3.0 Released: Improved Performance, Compatibility, and Code Cleanliness

🚀 Learning Update | Advanced Python – Code Reusability & Database Integration Today, as part of my Python learning journey, I explored code reusability techniques through the concepts of Aggregation and Inheritance, emphasizing how these OOP principles promote modularity and maintainability in software design. Additionally, I implemented a practical example integrating Python with SQLite, demonstrating how to: Create and manage relational databases using sqlite3 Capture and store user input dynamically in a database Convert the stored database records into PDF format for reporting purposes This session provided a deeper understanding of connecting object-oriented design with persistent data storage, bridging real-world applications where data handling and code reusability go hand in hand. 💡 Concepts Covered: Aggregation and Inheritance Database connectivity using sqlite3 Data persistence and file conversion Practical demonstration of modular and reusable Python code #Python #AdvancedPython #LearningJourney #CodeReusability #OOPsConcepts #Aggregation #Inheritance #SQLite #DatabaseIntegration #PythonProjects #DataPersistence #SoftwareDevelopment #CodingJourney #PythonDeveloper #ContinuousLearning #TechGrowth

Just building a custom data type system in C for Python. Introducing Atom - a minimal, performant library implementing fundamental numeric types for Python, including: ➡️ Standard types: int8–64, float16–64, complex ➡️ Machine learning types: bfloat16 ➡️ Type introspection: finfo / iinfo similar to NumPy The system is written entirely from scratch using: ➡️ C11 for the core type definitions and operations ➡️ Python C API for bindings ➡️ Bazel for reproducible, incremental builds All unit tests are passing, and the next milestone is implementing type casting. This project has been a deep dive into low-level systems programming and an exploration of how libraries like NumPy handle data types internally. Repository: https://lnkd.in/e5UwKrfF

Your beautiful async Python system just froze. You called one synchronous function—maybe a legacy library, maybe some file I/O—and suddenly your entire event loop is blocked. Every coroutine waits. Every websocket hangs. Everything stops. I see this pattern destroy production systems constantly. The solution? Python's Executor pattern—the bridge between async and sync worlds that most developers never learn properly. In my latest article, I break down: ✅ ThreadPoolExecutor vs ProcessPoolExecutor (and when to use each) ✅ How to wrap blocking libraries with clean async interfaces ✅ The functools.partial trick nobody teaches you ✅ Real production patterns: database pools, connection management ✅ The shutdown behavior that prevents memory leaks This is senior-level Python. No fluff. Just the patterns you need when async meets the real world. 🔗 Read: "The Executor: Running Blocking Code Without Blocking" https://lnkd.in/de9HNqWA #python #coding #programming #softwaredevelopment

Learn Python the Smart Way! Python is one of the most powerful and beginner-friendly programming languages, perfect for web development, data science, automation, and more. Here’s a complete guide to get started: 🎥 YouTube Channels: Corey Schafer, Real Python, Sentdex, The Net Ninja, Programming with Mosh 📚 Books: Automate the Boring Stuff, Fluent Python, Python Crash Course, Think Python, Head First Python 📱 Applications: Sololearn, Mimo, Encode, Programiz, Python Programming by Programming Hub 🌐 Websites: Python.org, Stack Overflow, Real Python, DataCamp, Kaggle Start learning today and build the skills that shape the future of technology! 💻✨ #Python #Programming #Coding #LearnPython #DataScience #SoftwareDevelopment #CareerGrowth #TechSkills

This is an important story to follow if you use Python extensively for your research and work: The PSF withdrew a $1.5 million funding proposal. It was meant to improve the safety and security of Python and its open-source ecosystem, but the decision was made because a term in the funding agreement would have exposed the PSF to significant financial risk, especially if already-spent funds could be reclaimed under certain conditions. https://lnkd.in/ei8wCwRV

Today, for our Dev-Talk Tuesday we are going to go over some features within Python! Yesterday we talked a little bit about what we knew about Python, today, we are going to dive into a little of what makes Python. 1. Simple and Readable Syntax ▪️ Python's syntax is not natural language, but it is very close, which makes it easy to read and write. Example: # Example: Readable syntax user_age = 25 if user_age >= 18:   print("You are an adult.") 2. Extensive Standard Library ▪️ Python comes with a deep set of built-in modules for tasks like file handling, math, networking and much more. Example: import math # Using the math module print(math.sqrt(16)) # Output: 4.0 3. Cross-Platform and Portable ▪️ Python code runs on Windows, macOS, Linux, and more without modification. Example: import os file_path = os.path.join("folder", "file.txt") print(file_path) # Works on all OS 4. Vast Ecosystem of Libraries ▪️ Python has powerful libraries for data science, web development, AI/ML, and more. Example: # Example: Using the requests library import requests response = requests.get("https://api.github.com") print(response.status_code) # Example output: 200 These are just a few examples to show of Python's versatility and why it's a choice amongst developers. What is your favorite Python feature or library? Let us know in the comments! #StructDevelopment #SoftwareDevelopment #Python #DevTools #Coding #Tech

📒 Learning log: Refreshing my Python skills! 🐍 After steadily working through R courses on DataCamp, I've dived back into Python today! Although I've touched on Python before, I'm now taking the "Intermediate Python for Developers" course on #DataCamp to solidify my skills. It feels surprisingly refreshing to revisit the fundamentals. Even concepts I've seen before, like the core modules, make more sense when reviewing them with a fresh perspective. Today was a great review of the essentials: 🔹 The os module: Getting re-acquainted with os.getcwd(), os.chdir() for directory management, and os.environ for handling system variables. 🔹 The string module: Reviewing its useful constants (like string.digits and string.punctuation), which are essential building blocks. It's exciting to see these concepts click into place more clearly this time around. Looking forward to mastering these tools! #Python #DataScience #LearningJourney

Recently I have been using go to re-write a syslog server I created in Python in Go. Python is great for making a prototype and developing fast and with ease but writing large projects in it really frustrates me. Python types are merely suggestions, and dealing with the moving from threads to async/await put me over the edge and I decided to move to a different language before I get too invested in this solution. I took a look at the options and landed on Go. It feels like writing a modern memory safe C, which an excellent pattern for writing asynchronous code with go routines, and it performs really really well. If anyone has any tips or thoughts on Go, I’d love to hear your comments. #GoLang #Python #Programming #SoftwareDevelopment #SysAdmin #DevOps #Concurrency #Coding #Tech #OpenSource

🐍 Learning About CPython — The Heart of Python! 💻 In today’s class, Talal Ahmed explained CPython, and it was truly fascinating to understand how Python actually works behind the scenes. 🔍 🧠 What is CPython? CPython is the default and most widely used implementation of Python, written in the C programming language. It’s the version you get when you download Python from the official website (python.org). Here’s what I learned: 🔹 CPython first compiles Python code into bytecode. 🔹 Then, this bytecode is interpreted by the CPython Virtual Machine (PVM). 🔹 This makes Python powerful yet easy to use, combining the simplicity of Python with the performance of C! 💡 Fun fact: The “C” in CPython stands for the C language — because Python’s interpreter itself is written in C. This class gave me a deeper appreciation for how Python works internally and why CPython remains the backbone of so many real-world applications. 🚀 Huge thanks to Talal Ahmed for breaking down such complex concepts simply and practically! 🙌 #CPython #Python #Programming #LearningJourney #Tech #AI #Coding #SoftwareDevelopment #SMIT

🚀 New Python Project Alert! 🎯 I just built a simple YouTube Manager App using Python and SQLite3. This command-line tool helps you add, view, update, and delete YouTube video details — all stored locally in a lightweight SQLite database. 🧩 Tech Stack: Python, SQLite3 💡 Features: ✅ Add & list videos ✅ Update or delete existing entries ✅ Persistent local database This project helped me strengthen my understanding of database management and CRUD operations in Python. Check out the full project on GitHub 🔗 👉 https://lnkd.in/grnUqMmm #Python #SQLite #Project #Programming #Data #SoftwareDevelopment #LearningByDoing #100DaysOfCode