Have you tried using PyO3? It is a library that helps integrate Rust with Python. It allows you to either expose Rust code as a Python extension module or embed the Python interpreter directly into a Rust application. A common usecase is when you have built your application in Python and start running into bottlenecks. Because Python being a dynamically typed interpreted language running on the GIL, has inherent performance limitations. I am sure some of you out there have already ran into it. Rust can give you a significant uplift here. Rather than rewriting the entire program, you profile your Python application, rewrite the hot paths in Rust, compile it as a native extension, and let the Python interpreter consume it seamlessly. Libraries like Polars and Pydantic V2 are great real-world examples of this pattern. In HFT systems built in Rust, the usecase flips. You want the strategies and algorithms written in Python because they are easier to iterate on, backtest, and hand off to quants. But the execution layer needs to be fast and deterministic which is happening in microseconds. Here you embed the Python interpreter into the Rust binary, load your core algorithm logic at runtime, and let the Rust runtime drive execution while calling into Python only when needed. It's fun to do this! PyO3 paired with Maturin (for build tooling) makes both of these workflows surprisingly ergonomic. How effectively have you used PyO3 in your projects or organizations? . . . . #rust #python #pyo3 #HFT #programming
Boost Python Performance with PyO3 and Rust
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Day 46 : Python Conditional Statements – If/Else Today I understood the conditional statements used in Python. Hands-on : - Today I learned about conditional statements in Python, which are used to control the flow of a program based on conditions. - I started with the basic syntax of the if statement, understanding how Python evaluates conditions and executes code blocks. -I then explored the if/else statement, which allows execution of alternate code when a condition is false. - Moving forward, I practiced if/elif/else statements to handle multiple conditions efficiently. - I also learned how to write if/else in a single line (ternary operator), which makes simple conditions more concise. - Finally, I explored nested if/else statements, where one condition is placed inside another to handle more complex logic. Result : - Successfully understood how to implement conditional logic in Python using different forms of if/else statements. Key Takeaways : - If statement executes code only when a condition is true. - If/Else provides an alternative execution path. - If/Elif/Else helps handle multiple conditions efficiently. - One-line if/else (ternary) makes code concise for simple conditions. - Nested conditions allow handling complex decision-making scenarios. #Python #Programming #DataAnalytics #LearningJourney #ConditionalStatements #CodingBasics #DataScience #BeginnerPython #AnalyticsSkills
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Perhaps you've seen that uvx command in your MCP server configs and wondered what it does. It's shorthand for uv tool run. uv is a single Rust binary that replaces your entire Python toolchain — pyenv, virtualenv, pip-tools, Poetry, all of it. uvx runs any package in its own throwaway environment, which is exactly why MCP configs use it. Since I switched, versioning issues are gone and my Python setup is simpler than it's ever been. Here's the full story: 👉 https://lnkd.in/epFEYRBC
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🐍📰 Python Gains frozendict and Other Python News for March 2026 Catch up on the latest Python news: frozendict joins the built-ins, Django patches SQL injections, and AI SDKs race to add WebSocket transport https://lnkd.in/gaKJ84gk
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🚀 Python 3.14 — Back to the Interpreter. Back to the Basics. Today I went back to where everything starts: An Informal Introduction to Python. https://lnkd.in/d4NN7cmG # Launch Python 3.14 explicitly (Windows launcher) C:\Users\John> py -3.14 # This is a comment → ignored by Python # Remember. This is a comment. # This is NOT a comment because it's inside quotes text = "# This is not a comment." # Addition 7 + 4 # Subtraction 50 - 37 # Order of operations (multiplication first) (100 - 5 * 7) # True division → float 17 / 3 # Floor division → integer 17 // 3 # Modulo → remainder 17 % 3 # Exponentiation 2 ** 10 # Store resolution values width = 1920 height = 1080 # Calculate total pixels (Full HD) width * height 💥 Fail Fast # Access undefined variable size → NameError 🔁 REPL Superpower: _ # `_` holds the last result in interactive mode width - _ 🎯 My Take Deep systems aren’t built on complexity. They’re built on mastery of fundamentals. Whether you’re building: A Django backend A distributed system An AI-powered application It all starts here — with clean thinking. “If you want to fly high, take a deep dive.” #Python #Django #Backend #SoftwareDevelopment #DeepDive
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10 Python Libraries I’d Learn First If I Had to Start Again | by Muhummad Zaki | CodeToDeploy | Mar, 2026 | Medium https://lnkd.in/gQGUvsY7
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Quick Python question: Why does this happen? A variable works perfectly inside a function… but suddenly behaves differently outside of it. For many developers, this is where Python variable scope becomes confusing. Understanding how Python handles local, global, and nonlocal variables can eliminate a surprising number of bugs and make your code much easier to reason about. I wrote a short guide that explains the concept clearly with practical examples. 👉 https://lnkd.in/dY8az6hc If you're working with Python and want to strengthen your fundamentals, this is a concept worth mastering. #Python #Programming #SoftwareDevelopment #LearnPython #CodingTips
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I’ve wanted to write something in Rust for a while, and recently got a bit excited about the idea of a Python library in Rust. So I open-sourced fast-ordset - an ordered set for Python implemented in Rust (PyO3 + indexmap). In benchmarks it’s about 2–10× faster than the pure-Python ordered-set on various operations. The extension is thread-safe and doesn’t hold the GIL, so it works with free-threaded Python. One downside: iteration is noticeably slower - each element crosses the Rust→Python boundary (serialization/copying), so for x in s and list(s) are slower than the Python implementation. For indexing s[i] and bulk operations it’s fine. Install: uv sync --all-extras and uv run maturin develop --release. MIT license. Repo: https://lnkd.in/dXRXdWqY #Python #Rust #OpenSource
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Nobody teaches you this in Python tutorials. You learn variables. You learn functions. You learn classes. But scope? You learn scope the hard way. At 2am. With a bug you can't explain. Staring at code that looks perfectly fine. Here's what's actually happening: Python doesn't look for variables the way you think it does. It follows a very specific lookup order - Local → Enclosing → Global → Built-in - and if you don't know the rules, it will surprise you in the worst moments. I wrote a free guide to fix that gap: ✔ How Python actually resolves variable names ✔ Why closures behave the way they do ✔ The global and nonlocal keywords demystified ✔ Real examples of scope bugs - and how to squash them No fluff. No theory for the sake of theory. Just the stuff that makes you a sharper Python dev. 🎁 Free download: https://lnkd.in/dY8az6hc Drop a 🐍 in the comments if scope has burned you before. #Python #PythonDeveloper #LearnPython #Debugging #Scope #Variable
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