GitHub for Mobile Reviews

Python Reviews

GitHub for Mobile mentions (6)

• Join GitHub Education

  Secure your GitHub account with two-factor authentication. (It is recommended to use the GitHub Mobile app.). - Source: dev.to / about 2 years ago

• Learning JS on Android

  If Git is the #1 Version Control System, GitHub is the #1 cloud service for Git. It allows code issues reporting, code-reviewing and, most importantly, it will keeps the repository on the cloud if your cellphone suddenly explodes. Microsoft has been doing a great job on the GitHub app: It has most of the features available on GitHub desktop. Edit files, submit, approve and comment on pull requests, everything from... - Source: dev.to / over 4 years ago

• GitOps with NSX Advanced Load Balancer and Jenkins

  Peer Review : Instead of meetings, advance reading, some kind of Microsoft Office document versioning and comments, a git pull request is fundamentally better in every way, and easier too. GitHub even has a mobile app to make peer review as frictionless as possible. - Source: dev.to / over 4 years ago

• Best Mobile Note-Taking Apps for Markdown

  Users may also be interested in future development around the GitHub mobile client, which currently does not support being able to edit or contribute new files. For now, people can use the app to post "LGTM" to PRs, add thumbs-down emojis to issues, and get notified when your PRs are rejected. - Source: dev.to / over 4 years ago

• CNC 2021 – Write More Challenge – First Mission

  Interacting with GitHub from your mobile : Technical post – Showing how to do some common procedure using the official GitHUb app on a mobile (Android) – Example of processes : Modifying a file, Creating a new branch, creating a new Pull Request, Reviewing a Pull Request, merging a Pull Request – Nice to have: Some small videos for each procedures to allow the user the see them done "live" – Easy to write but I am... - Source: dev.to / about 5 years ago

Python mentions (299)

• How to Build a Dependency Map of a Legacy Codebase Using AI Tools

  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 / about 2 months ago

• How to Prepare a Legacy Codebase for AI-Assisted Refactoring

  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 / about 2 months ago

• Async Web Scraping in Python: asyncio + aiohttp + httpx (Complete 2026 Guide)

  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 — no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 3 months ago

• Don't Be Afraid of Git: A Beginner's Guide to Saving and Sharing

  **_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: - “Save this data” - “Get this data” - 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

• Asyncio: Interview Questions and Practice Problems

  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