ptpython VS Python

ptpython Reviews

Python Reviews

ptpython mentions (11)

• Why Lisp?

  If you like using the REPL, for Python I recommend you try https://github.com/prompt-toolkit/ptpython. - Source: Hacker News / 12 months ago

• Tools for productivity

  REPL??? Do you have a very-easy-to-use way of running and testing your code? From vim-slime to nvim sniprun to autocommands with the built in terminal, to an external repl like ptpython (for python obviously). iron.nvim and conjure are two other neovim repl plugins. There are many ways of running the code that you're working on, and having something that makes this really easy for you is pretty essential.... Source: about 1 year ago

• Is there a vim mode for zsh ?

  I use ptpython for my python repl https://github.com/prompt-toolkit/ptpython. I find it very convenient because it has a vim mode, and many vim similarities. Source: about 1 year ago

• Is there a way to make the Python IDLE auto-close brackets and quotations?

  A library like ptpython should be what you're looking for, however this probably isn't an option for an exam setting. Source: over 1 year ago

• Where do I go after learning lua?

  Create a repl to the standard that ptpython sets for python (both croissant and ilua leave a lot to be desired). Source: over 1 year ago

Python mentions (280)

• Python String Formatting: A Comprehensive Guide to F-strings

  F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / 3 months ago

• Don’t Block entire Python Thread: Use Asynchronous Programming Instead

  Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 4 months ago

• A Comprehensive Guide to Python Threading: Advanced Concepts and Best Practices

  Threading involves the execution of multiple threads (smaller units of a process) concurrently, enabling better resource utilization and improved responsiveness. Python‘s threading module facilitates the creation, synchronization, and communication between threads, offering a robust foundation for building concurrent applications. - Source: dev.to / 4 months ago

• Building Fast APIs with FastAPI: A Comprehensive Guide

  FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework. - Source: dev.to / 4 months ago

• Can I become Python expert in 44 Days?

  When you have finished your thirty days, I recommend to go to the official site and read the offical python tutorial at python.org : https://docs.python.org/3/tutorial/index.html . Source: 5 months ago