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Учебники по Python

Будьте в курсе последних новостей, техник и ресурсов по программированию на Python. В наших учебниках — подробные практические разборы и кейсы, которые помогут вам повысить квалификацию.
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Scraping Reddit with Python and BeautifulSoup 4

In this tutorial, you'll learn how to get web pages using requests, analyze web pages in the browser, and extract information from raw HTML with BeautifulSoup.

Abhishek Kasireddy

22 апреля 2025 г.

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Kyle Weller

30 июля 2018 г.

Web Scraping using Python (and Beautiful Soup)

In this tutorial, you'll learn how to extract data from the web, manipulate and clean data using Python's Pandas library, and data visualize using Python's Matplotlib library.

Sicelo Masango

21 апреля 2025 г.

Python Modules Tutorial: Importing, Writing, and Using Them

Learn how to create and import Python modules. Discover best practices, examples, and tips for writing reusable, organized, and efficient Python code!

Nishant Kumar

1 июня 2026 г.

Python List index() Method Explained with Examples

Learn how to use Python's index() function to find the position of elements in lists.
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Sejal Jaiswal

28 марта 2025 г.

Autoencoder as a Classifier using Fashion-MNIST Dataset Tutorial

In this tutorial, you will learn & understand how to use autoencoder as a classifier in Python with Keras. You'll be using Fashion-MNIST dataset as an example.
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Aditya Sharma

20 июля 2018 г.

Detecting True and Deceptive Hotel Reviews using Machine Learning

In this tutorial, you’ll use a machine learning algorithm to implement a real-life problem in Python. You will learn how to read multiple text files in python, extract labels, use dataframes and a lot more!
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Aditya Sharma

19 июля 2018 г.

Introduction to k-Means Clustering with scikit-learn in Python

In this tutorial, learn how to apply k-Means Clustering with scikit-learn in Python

Kevin Babitz

10 марта 2023 г.

Reconstructing Brain MRI Images Using Deep Learning (Convolutional Autoencoder)

In this tutorial, you'll learn & understand how to read nifti format brain magnetic resonance imaging (MRI) images, reconstructing them using convolutional autoencoder.
Aditya Sharma's photo

Aditya Sharma

27 июня 2018 г.

Setup a Data Science Environment on your Computer

Learn about the various options you have to setup a data science environment with Python, R, Git, and Unix Shell on your local computer.
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DataCamp Team

27 июня 2018 г.

Reconstructing Fingerprint Images Using Deep Learning (Convolutional Autoencoder)

In this tutorial, you will learn and understand how to read jpeg format fingerprint images, reconstructing them using convolutional autoencoder.
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Aditya Sharma

26 июня 2018 г.

Using Python to Power Spreadsheets in Data Science

Learn how Python can be used more effectively than Excel, with the Pandas package.
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Jason Graham

12 июня 2018 г.