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Gantt charts in Python
#python
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Detailed examples of Gantt Charts including changing color, size, log axes, and more in Python.
1 year ago
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Welcome to Python Cheatsheet! — pysheeet
#python
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Collect useful python snippets for pythoneers or non-pythoneers.
1 year ago
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Основы asyncio для сетевых инженеров
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1 year ago
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Python for network engineers
#python
1 year ago
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Advanced Python для сетевых инженеров
#python
1 year ago
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Advanced Python для сетевых инженеров
#python
1 year ago
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Making 1 million requests with python-aiohttp
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In this post I’d like to test limits of python aiohttp and check its performance in terms of requests per minute. Everyone knows that asynchronous code perf...
1 year ago
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How to Download Files From URLs With Python – Real Python
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In this tutorial, you'll find the right tools to help you download files from URLs with Python and manage the data retrieval process. You'll cover data streaming, thread pools, and asynchronous downloads.
1 year ago
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How to Download Files From URLs With Python – Real Python
#python
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In this tutorial, you'll find the right tools to help you download files from URLs with Python and manage the data retrieval process. You'll cover data streaming, thread pools, and asynchronous downloads.
1 year ago
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Just a moment...
#python
1 year ago
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Tutorial — NetworkX 3.5 documentation
#python
1 year ago
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NLTK :: Natural Language Toolkit
#python
2 years ago
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Sigal 2.6.dev5+g28a576a documentation
#python
2 years ago
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dataclasses — Data Classes — Python 3.13.5 documentation
#python
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Source code: Lib/dataclasses.py This module provides a decorator and functions for automatically adding generated special methods such as__init__() and__repr__() to user-defined classes. It was ori...
3 years ago
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PEP 557 – Data Classes | peps.python.org
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This PEP describes an addition to the standard library called Data Classes. Although they use a very different mechanism, Data Classes can be thought of as “mutable namedtuples with defaults”. Because Data Classes use normal class definition syntax, y...
3 years ago
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PEP 636 – Structural Pattern Matching: Tutorial | peps.python.org
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This PEP is a tutorial for the pattern matching introduced by PEP 634.
3 years ago
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Cartoon or Photo? - Image detection with Python - Code Calamity
#python
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How accurately can your code tell if a image is a cartoon or a real photo? Let's explore four different methods to see which comes out on top!
3 years ago
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Upload large files fast with Dropzone.js - Code Calamity
#python
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Speed up large file downloads by chunking them in parallel with Dropzone powered by a multi-threaded python backend.
3 years ago
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Intro — mlcourse.ai
#python
3 years ago
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Python Data Science Handbook | Python Data Science Handbook
#python
3 years ago
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Just a moment...
#python
3 years ago
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Как не продолбать пароли в Python скриптах / Хабр
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Хранение паролей всегда было головной болью. В классическом варианте у вас есть пользователь, который очень старается не забыть жутко секретный «qwerty123» и информационная система, которая хранит хеш...
4 years ago
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Getting started with... Python - Stack Overflow
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4 years ago
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Building and Testing an API Wrapper in Python - Semaphore
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You will learn how to create and test a custom library which communicates with a third-party API and how to use the custom library in a Python script.
4 years ago
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Site not found · GitHub Pages
#python
4 years ago
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XKCD — Matplotlib 3.3.3 documentation
#python
4 years ago
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Library and Extension FAQ — Python 3.13.5 documentation
#python
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Contents: Library and Extension FAQ- General Library Questions- How do I find a module or application to perform task X?, Where is the math.py (socket.py, regex.py, etc.) source file?, How do I mak...
4 years ago
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Page not found | Towards Data Science
#python
4 years ago
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GitHub - 3b1b/manim: Animation engine for explanatory math videos
#cool-stuff
#python
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Animation engine for explanatory math videos. Contribute to 3b1b/manim development by creating an account on GitHub.
4 years ago
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Error
#python
4 years ago
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Welcome to Python Cheatsheet! — pysheeet
https://www.pythonsheets.com/
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Date added
Feb. 4, 2024, 12:14 a.m.
Description
Collect useful python snippets for pythoneers or non-pythoneers.