Hot take: Python is fast enough for most things. For the other things? 🦀 Rust. Just published a guide on using PyO3 v0.28 + maturin to drop Rust into your Python stack — the same approach Polars, Ruff, and Pydantic v2 use. One function. Native speed. Still pip install-able. 👉 https://lnkd.in/g794MZxa #Rust #Python #PyO3 #Engineering #Performance
Python for most tasks, Rust for speed: PyO3 guide
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Just released a5_fast 🚀 Python bindings using PyO3 for a5 Rust library 🦀 https://lnkd.in/gU_7Mqfs If you're working with A5 in Python, give it a spin. It should be considerably faster than native Python implementations. 🐍 https://lnkd.in/gdgd5Wsf #Rust #Python #PyO3 #OpenSource #A5
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Learn machine learning with Python and discover how to build and deploy AI-powered solutions with ease, with our comprehensive guide and tutorial https://lnkd.in/gTKhVnz5 #MachineLearningWithPython Read the full article https://lnkd.in/gTKhVnz5
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Some days, VS Code feels like a puzzle I didn’t sign up for. Setting up a simple thing like Python with Conda base turned into hours of confusion. Paths, terminals, environments… nothing talks to each other at first. But I’m learning: frustration is part of the process, not a sign to quit. Slowly, things start to make sense. #techjourney #womenintech #datasciencejourney #vscode #python #conda #beginnertodev
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🚀 Day 2 — Python Journey Continuing with Python, today I focused on integer operations. 📌 What I learned: - Integer declaration - Addition, subtraction, multiplication - Division and modulus (remainder) - Power operation - Operator precedence (which operation runs first) 💡 What stood out: Understanding operator precedence is really important — the same expression can give different results if you don’t know the order of execution. Also, modulus (%) is more useful than it looks (especially for problems and logic building). Trying to stay consistent and build strong basics step by step. #Day2 #Python #CodingJourney #Consistency #LearnInPublic
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🧠 Python Logic Check — Quick Challenge Consider the following snippet: x = 10 x += x == 10 print(x) At first glance, it looks straightforward — but it tests your understanding of how Python handles boolean expressions. 💡 Question: What will be the output? A) 10 B) 11 C) True D) Error 📌 Small details like this often separate beginners from experienced developers. 💬 Drop your answer in the comments — and explain your reasoning if you can. #Python #SoftwareEngineering #CodingChallenge #DeveloperMindset #Learning
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Learn how to access, unpack, loop, join, and more with tuples in Python — a quick guide to mastering this essential data type! 🎥 Watch here: https://lnkd.in/dpYuJNUp #Python #Coding #DataStructures #ProgrammingTips
Python Tutorial Part 4 | Tuples: Access, Update, Unpack , Loop, Join & More
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Started my #30DaysOfPython journey today. 🚀 Here are some of the basics I picked up: 1. Python is a high-level, interpreted, open-source, object-oriented language created by Guido van Rossum. 2. Unlike many languages, Python uses indentation instead of curly brackets to define blocks of code. 3. I also revisited core data types like: (i) Numbers (ii) Strings (iii) Booleans (iv) Lists (v) Dictionaries (vi) Tuples (vii) Sets 4. One simple but useful thing: type() helps check the data type of any value. Day 1 done. One step closer to becoming more confident with Python. 🐍 #Python #30DaysOfPython #SoftwareDevelopment #LearningInPublic #CareerTransition
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Day 19 of my 20 Day Linkedin Challenge I recently learned about loops in Python. Here’s the simplest way to understand them: A loop tells the computer to repeat something. Instead of writing the same instruction multiple times you write it once and let the loop handle the repetition. For example: If you want to print numbers from 1 to 10, You don’t write 10 separate lines. You use a loop. This matters because computers are great at repetition. Loops allow you to: - save time - reduce errors - handle large tasks efficiently It’s one of those concepts that seems small but it’s actually very powerful. #AfricaAgility #ArtificialIntelligence #Python #MachineLearning #GIT20DayChallenge
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Here's a Python dictionary merge challenge from @dontmisstmr — can you get it right without running the code? dict1 = {"name": "Alice", "age": 25} dict2 = {"city": "Noida", "age": 26} merged = dict1 | dict2 print(merged) The | operator was introduced in Python 3.9. When both dicts share a key, which value wins? Drop your answer in the comments! #Python #SoftwareDevelopment #CodingChallenge #ProgrammingTips #TechCommunity
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Day 4/30 – Python 🐍 Today I learned about lists in Python how to store multiple values and perform operations like append, remove, and slicing. Practiced a few problems and started understanding how powerful data structures can be. Getting better every day 📈 #Day4 #Python #CodingJourney #LearningInPublic
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