switching from pip to uv genuinely impressed me. I’ve been using pip for years. It’s stable, trusted, and part of almost every Python workflow. No complaints at all. But recently I tried uv out of curiosity. And the speed difference? Very noticeable. Dependencies install insanely fast. Environment setup feels almost instant. Everything just feels smoother and more responsive. One big reason: uv is built with Rust. That means it’s designed for performance, safety, and robustness from the ground up. You can actually feel that difference when working on bigger projects or rebuilding environments multiple times a day. pip is still solid. But uv feels modern. Fast. Efficient. Built for today’s development speed. Sometimes productivity isn’t about writing better code. #Python #Rust #DeveloperTools #Performance #SoftwareDevelopment #Productivity #ProgrammingLife
uv outperforms pip in speed and efficiency
More Relevant Posts
-
🐞 Dot the Bug is our Project of the Month — part of the Python Wild series celebrating #InternationalWildlifeDay In this beginner-friendly project, creators explore the basics of Python graphics by drawing their own insect step by step. Along the way, they’ll learn how to use simple code to create shapes, add colour, and build up a design piece by piece. Everything runs in our built-in Code Editor, with instructions and code displayed side by side — so there’s no need to switch tabs, making it easy to follow along and experiment as you go. Ready to give it a try and bring your own bug to life? Get started here: rpf.io/dot-the-bug 🐛
To view or add a comment, sign in
-
-
I built a YouTube video downloader in Python that lets you pick any video, choose where to save it on your computer, and downloads it in the best quality available. What made this interesting was running into a real world problem mid-build. The first library I used (pytube) was outdated YouTube had changed their system and it simply stopped working. So I found the modern alternative (yt-dlp), understood how it worked, and switched. The project combined three things working together : yt-dlp for downloading, tkinter for the folder picker UI, and clean error handling so nothing crashes silently.
To view or add a comment, sign in
-
Count digits. Sum digits. Reverse the number. Check palindrome. Four problems, one loop. Same idea every time: n % 10 gives the last digit, n // 10 removes it. Repeat while n > 0. What you do with each digit is what changes. I wrote a step-by-step practice guide that covers: ✅ The core technique: % 10 and // 10 with a full trace (e.g. 12359) ✅ Challenge 1: Count digits (counter loop) ✅ Challenge 2: Sum of digits ✅ Challenge 3: Reverse a number (rev = rev * 10 + digit) ✅ Challenge 4: Check palindrome (save original, then compare) ✅ Pattern recognition: same loop structure, different use of the digit ✅ Common mistakes (forget n = n // 10, compare n instead of saved copy) and fixes ~9 min read. One technique, four challenges. https://lnkd.in/g4RwH_Er #Python #Programming #Coding #Beginners #LearnToCode #DigitOperations #SumOfDigits #Palindrome #Tech #SoftwareDevelopment #CodingTips
To view or add a comment, sign in
-
-
✅ Just solved LeetCode 27 — Remove Element! Small problem. Big lesson. 🧠 The task: remove all occurrences of a value from an array in-place and return the count of remaining elements. No extra array. No shortcuts. Just pointer logic. Here's the two-pointer approach I used: def removeElement(nums, val): k = 0 for i in range(len(nums)): if nums[i] != val: nums[k] = nums[i] k += 1 return k 🔍 The insight: → One pointer (i) scans every element → Another pointer (k) tracks valid write position → Overwrite only what doesn't match val → Result? O(n) time, O(1) space ✨ What's your go-to pattern for in-place array problems? Drop it below 👇 #DSA #LeetCode #CodingInterview #Programming #TwoPointers #Python #SoftwareEngineering #100DaysOfCode
To view or add a comment, sign in
-
-
Been focusing on improving session handling and reliability in FlowBoard. I kept running into bugs from earlier features, which made it clear that development is not a linear process. What I worked on: - Added a session warning system that lets users extend their session or log out early. - Implemented a fallback modal that appears if the session expires without user action, prompting them to log back in. - Continued debugging issues from earlier features while testing the project more thoroughly. Working on this made me realize how important it is to revisit and test existing features. Fixing edge cases now is much better than letting them build up later. Developing is not a straight path. It is more about building, breaking, and refining over time. #BuildInPublic #Python #React #FastAPI #SoftwareEngineering #Debugging
To view or add a comment, sign in
-
-
Is your Python linter feeling a bit... slow? 🐢 Let’s be honest: waiting for linters and formatters to run kills focus. Whether it’s Black, Flake8, or isort, the "check and format" step can sometimes take longer than writing the code itself. Enter Ruff 🦀. I recently integrated Ruff into my workflow, and the hype is real. It’s a game-changer. Here is why I’m never going back: ⚡ Speed: It’s written in Rust and is literally 10-100x faster than existing tools. We're talking near-instant feedback on save. 🧩 All-in-One: It replaces Flake8 (plus dozens of plugins), isort, pydocstyle, and even auto-fixes. 🔧 Zero Config (to start): It just works out of the box, but is highly configurable when you need it to be. If you haven't tried Ruff yet, you are leaving performance on the table. Your terminal (and your patience) will thank you. Have you made the switch yet? Or are you sticking with the traditional tools? #Python #Ruff #Rust #SoftwareEngineering #DeveloperTools #Coding
To view or add a comment, sign in
-
Stop scrolling through "good first issue" labels and start looking at the tools already on your desktop. 💻 Standard advice says to hunt for beginner labels, but Marco Gorelli argues this often leads to frustration and "drive-by" contributions that don't stick. The secret to a rewarding open source journey isn't finding a problem to solve; it's letting the problems find you through your own daily workflow. Learn how to turn your user frustrations into your first pull request. Read more on the Quansight blog: https://lnkd.in/di8qy43J #OpenSource #SoftwareEngineering #Python #Community #TechTips
To view or add a comment, sign in
-
-
Variable-Size Sliding Window: When to Expand vs Contract Unlike fixed-size windows, finding the longest substring without repeating characters requires dynamic window adjustment. The key insight: expand greedily by advancing the right pointer, but when a duplicate is encountered, contract from the left until the window is valid again. A HashSet tracks current window contents, enabling O(1) duplicate detection and removal. This pattern of "expand until invalid, then contract until valid" is foundational to constraint-based window problems. Why This Works: The right pointer moves exactly n times, and the left pointer also moves at most n times across the entire execution (never backtracks). Amortized analysis shows each character enters and exits the window at most once, yielding O(n) total operations despite the nested loop appearance. This amortized complexity analysis is critical for understanding why certain "nested loop" solutions are actually linear. Time: O(n) amortized | Space: O(min(n, charset_size)) #SlidingWindow #AmortizedAnalysis #HashSet #SubstringProblems #Python #AlgorithmOptimization #CodingInterview #SoftwareEngineering
To view or add a comment, sign in
-
-
dy Library Manager is ready for beta testing! You can download it by cloning dyLib dev branch repository (install dyLib with the package file that comes with it): https://lnkd.in/dPpadw9S - You can install and uninstall multiple GitHub libraries. - You can enable/disable the installed libraries. - Libraries database is automatically downloaded into your Houdini references folder. - Favorites and Tags systems. - You can select between repository branches and releases to download. - You will find utility repositories which Houdini tips, hip files, etc. - You can quickly find commercial libraries to open their website easily. I'll do some final polishes before the proper release on dy Install Lib Gumroad page, let me know if you give it a try! #houdini #python #pipeline #indiedev
To view or add a comment, sign in
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development