Hevy
Fitbod
Strong.app
JEFIT
MyFitnessPal
Kiwi Fitness
SHRED
Strava
Python
JavaScript
Java
C++
Rust
Ruby
PHP
Elixir
Hevy is a free gym workout tracker & planner app for iOS and Android. Simple workout logging, insightful analytics, and a growing community of gym athletes.
Hevy PythonHevy is recommended for fitness enthusiasts who enjoy tracking detailed workout data, individuals who like to engage with a community of like-minded individuals for motivation, and anyone looking for a versatile fitness app to support various types of workout regimens.
Based on our record, Python seems to be a lot more popular than Hevy. While we know about 299 links to Python, we've tracked only 4 mentions of Hevy. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hevy | Senior Mobile Engineer | Remote | Full-time | https://hevyapp.com Weโre looking for a lead mobile/full-stack engineer to join our team. Youโll take full technical ownership of a mobile+web app used by +2 million users. Youโll architect and implement features, and lead a small team of developers. Our tech stack includes: React, React-Native, iOS, Android, Next.js, Node.js, express.js, Postgres. Learn more... - Source: Hacker News / almost 3 years ago
Hevyapp.com lol, if you log into your account you should be met with a web interface for making routines. Source: about 3 years ago
On the web interface, your can nest your workouts into folder so that they're easy to track and organize. For example if you're on a PPL 6 week meso-cycle you can create every workout for the next 6 weeks on hevy.com . But once synced to the Apple Watch the folders just become a flat list which you have to scroll through to find the right workout. Would be nice if folder structure transferred to apple watch . Source: about 4 years ago
Hey oneman_aus! No known memory issues at the moment. Would you mind reaching out to me so I can investigate the issue further? Desmond at hevyapp.com. Source: over 4 years ago
137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 2 months ago
For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 2 months ago
Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 3 months ago
**_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โSave this dataโ - โGet this dataโ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
Fitbod - Personalized Strength-Training powered by Machine Learning
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Strong.app - Strenght training logger.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
JEFIT - Jefit is the #1 popular gym workout app for Android and iOS. Jefit allows you to manage your training routine and keep track of your workout progress easily.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
