Python

How To Create a Python Class Generator for VS Code — step-by-step Python tutorial on Progressive Robot

How To Create a Python Class Generator for VS Code

If you hate stubbing out Python classes, here’s how you can create an extension in Visual Studio Code to do it for you. In this article, you’ll see how to create that extension. You’ll prompt for user input, use array map and join functions, use ES6 template literals, and write to the file system.

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How To Use the collections Module in Python 3 — step-by-step Python tutorial on Progressive Robot

How To Use the collections Module in Python 3

In this tutorial, we’ll go through three classes in the collections module to help you work with tuples, dictionaries, and lists. We’ll use namedtuples to create tuples with named fields, defaultdict to concisely group information in dictionaries, and deque to efficiently add elements to either side of a list-like object.

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Обслуживание приложений Flask с uWSGI и Nginx в Ubuntu 18.04 — step-by-step Linux tutorial on Progressive Robot

Обслуживание приложений Flask с uWSGI и Nginx в Ubuntu 18.04

В этом обучающем модуле вы создадите приложение Python с использованием микроструктуры Flask в Ubuntu 18.04. Основная часть этой статьи посвящена настройке сервера приложений uWSGI, запуску приложения и настройке…

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MNIST Dataset in Python - Basic Importing and Plotting — step-by-step Python tutorial on Progressive Robot

MNIST Dataset in Python – Basic Importing and Plotting

URL: https://www.progressiverobot.com/mnist-dataset-in-python/ Welcome to this tutorial on the MNIST dataset. In this tutorial, we will learn what is the MNIST dataset, how to import it in Python, and how to plot it using [matplotlib](/community/tutorials/python-matplotlib). What is the MNIST dataset? MNIST set is a large collection of handwritten digits. It is a very popular dataset in […]

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How To Use ThreadPoolExecutor in Python 3 — step-by-step Python tutorial on Progressive Robot

How To Use ThreadPoolExecutor in Python 3

Python threads are a form of parallelism that allow your program to run multiple procedures at once. Parallelism in Python can also be achieved using multiple processes, but threads are particularly well suited to speeding up applications that involve significant amounts of IO. In this tutorial, we will use ThreadPoolExecutor to make network requests expediently.

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