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submitted by /u/Xaneris47 [link] [留言]

Two years ago, when I got my first freelance client, I was still in my final semester of college. A...

[ Removed by Reddit on account of violating the content policy . ] submitted by /u/Economy_Goose_8561 [link] [留言]

This is a submission for the GitHub Finish-Up-A-Thon Challenge What I Built Last...

Maybe I’m just getting older, but frontend tooling changes so fast now that sometimes it feels harder keeping up with the ecosystem than actually building products. Feels like every few months there’s a new framework, rendering strategy, state management pattern or deployment workflow people suddenly expect you to know. submitted by /u/Bladerunner_7_ [link] [留言]

Whether you’re looking for a Herman Miller promo code or discounts in their sale, here is how to save on the world's best ergonomic office furniture this month.

Download: App List Sau khi Export một file .html thì bạn mở lên sẽ không thấy app icons đâu. Hãy chạy đoạn script Python dưới đây để có thể **bổ sung app icons vào Android app list *. Để tìm kiếm và bổ sung tự động icon thực tế của ứng dụng (từ Google Play Store hoặc các nguồn khác trên mạng) vào file HTML của bạn, phương pháp tối ưu nhất là sử dụng Script tự động (Python hoặc NodeJS) kết hợp với các công cụ/API cào dữ liệu (Web Scraping). Vì trong file HTML của bạn đã có sẵn mã gói ứng dụng (ví dụ: com.alibaba.aliyun ), việc tìm kiếm bằng package-name sẽ cho kết quả chính xác 100%. Dưới đây là các phương pháp phổ biến và dễ thực hiện nhất: Phương pháp 1: Sử dụng thư viện Python google-play-scraper (Khuyên dùng) Đây là cách dễ nhất, không cần đăng ký API key và tỷ lệ thành công rất cao. Thư viện này sẽ tự động tìm kiếm trên Google Play Store dựa trên package-name và trả về link icon (hình ảnh). Cách hoạt động: Đọc file HTML của bạn để lấy tất cả package-name . Dùng thư viện quét qua Play Store để lấy URL của icon. Chèn thẻ <img src="URL_ICON" /> vào trước tên ứng dụng trong HTML. Đoạn code Python mẫu để bạn chạy: (Trước khi chạy, bạn cài thư viện bằng lệnh: pip install google-play-scraper beautifulsoup4 ) Lưu file với tên tuỳ chọn và chạy trong cmd.exe: py append_applist_icons.py . from bs4 import BeautifulSoup from google_play_scraper import app as play_app import time # 1. Đọc file HTML gốc của bạn (thay tên file tương ứng) input_file = " apps_20260527232642_1.html " output_file = " apps_with_icons.html " with open ( input_file , " r " , encoding = " utf-8 " ) as f : soup = BeautifulSoup ( f . read (), " html.parser " ) # Tìm tất cả các khối ứng dụng app_items = soup . find_all ( " div " , class_ = " app-item " ) print ( f " Đang xử lý { len ( app_items ) } ứng dụng... " ) for index , item in enumerate ( app_items ): package_div = item . find ( " div " , class_ = " package-name " ) if package_div : package_name = package_div . text . strip () try : # 2. Lấy thông

After finishing the app I've been working on, I decided to use Paddle to handle monthly and yearly subscriptions. I followed their documentation and getting started page and did almost everything they say, yet I got this error as in the screenshot. That happens after I generate a checkout link in the server side, and navigating to it. If you've encountered such issue before and somehow fixed it, or at least you know a little better in this field, any helpful hints or advices will be truly appreciated https://preview.redd.it/1y9muysics3h1.png?width=1209&format=png&auto=webp&s=baebc208c65540d0a2cc8be24c0e90110b3ceefd submitted by /u/WadieZN [link] [留言]

Last.fm is now an independent company, nearly two decades after it was acquired by CBS.

What if a development board could be as friendly as an Arduino, yet powerful enough to drive industrial-grade robots? That is exactly the gap the new G2 Nano sets out to close. Most hobby boards handle simple robot builds with ease, but they hit a wall once a project demands tight, simultaneous control of several motors. Embedded systems engineer Ryan Strace noticed that the custom controllers built for these complex machines tend to look remarkably alike, with motor coordination as the recurring headache. Rather than reinventing that hardware on every project, he designed a single accessible platform to handle it, and the G2 Nano is the result. Precise motor control usually leans on closed-loop techniques like PID, but real-world gremlins such as integrator windup, sensor noise, mechanical saturation, and phase delay can all degrade performance. Robots also need smooth multi-axis motion with managed acceleration to avoid jerky, stressful movement, plus solid fault handling so an unexpected state does not wreck expensive parts. Strace is tackling all of this with a low-cost motion-control IC he is developing, and the G2 Nano is the high-performance platform built to prove out that future chip. What's under the hood Processor: NXP Arm Cortex-M7 clocked at a brisk 1 GHz Wireless: u-blox MAYA-W1 module with dual-band Wi-Fi and Bluetooth Motion sensing: six-axis IMU (3-axis accelerometer plus 3-axis gyroscope) and a dedicated magnetometer for compass heading Form factor: just 0.8 by 3 inches, breadboard-friendly, on a six-layer PCB stackup for clean high-speed signals On the software side, the board targets native micro-ROS and the Zephyr real-time operating system, with planned MicroPython support so you can prototype in Python without paying the usual speed penalty, thanks to that unusually high clock. Every design file and document is open-source and published on GitHub. Build it yourself If you want to follow along, the core ingredients are clear: an NXP Cortex-M7 a