lazygit
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lazygit
PythonLazygit is recommended for developers and software engineers who frequently use Git for version control and prefer a terminal-based user interface. It's particularly useful for those who want a quick and efficient way to perform Git operations without leaving their terminal environment.
Based on our record, Python should be more popular than lazygit. It has been mentiond 299 times since March 2021. 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.
Navi is good for generating personal cheatsheets: https://github.com/denisidoro/navi But for Git, I can't recommend lazygit enough. It's an incredible piece of software: https://github.com/jesseduffield/lazygit. - Source: Hacker News / 3 months ago
When an AI agent is making autonomous changes to your codebase, you need a fast way to review what it just did. LazyGit is a terminal UI for git that lets you visually review diffs, stage files, and commit โ all without memorizing git commands. - Source: dev.to / 4 months ago
Https://github.com/atuinsh/atuin for fuzzy shell history (ctrl+r) https://github.com/sharkdp/bat (nice coloured cat replacement) https://github.com/abiosoft/colima (so I don't need docker desktop) https://github.com/duckdb/duckdb (performant database that lets you directly query JSON, parquet, csv files with SQL queries and convert one to the other. https://github.com/eradman/entr (rerun commands automatically... - Source: Hacker News / 4 months ago
At this point, I found myself asking: Does Git continuously scan the working directory? I soon realized that there's a distinction between Git's core functionality and the behavior seen in Git GUIs like LazyGit. For example, when I modify a file in LazyGit, it's almost immediately marked in the UI. But that's not actually Git doing the tracking. - Source: dev.to / 4 months ago
Lazygit is a TUI-based Git interface I use daily to:. - Source: dev.to / 12 months 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 / 4 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
Fork - Fast and Friendly Git Client for Mac
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
CodeHub - CodeHub is the most complete, unofficial, client for GitHub on the iOS platform.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Working Copy - The powerful Git client for iOS
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation