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Технологии
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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Convolutional Neural Networks in Python with Keras
In this tutorial, you’ll learn how to implement Convolutional Neural Networks (CNNs) in Python with Keras, and how to overcome overfitting with dropout.
Aditya Sharma
5 декабря 2017 г.
Python Loops Tutorial
A comprehensive introductory tutorial to Python loops. Learn and practice while and for loops, nested loops, the break and continue keywords, the range function and more!
Satyabrata Pal
18 октября 2017 г.
Web Scraping & NLP in Python
Learn to scrape novels from the web and plot word frequency distributions; You will gain experience with Python packages requests, BeautifulSoup and nltk.
Hugo Bowne-Anderson
13 октября 2017 г.
Hierarchical indices, groupby and pandas
In this tutorial, you’ll learn about multi-indices for pandas DataFrames and how they arise naturally from groupby operations on real-world data sets.
Hugo Bowne-Anderson
31 марта 2023 г.
Groupby, split-apply-combine and pandas
In this tutorial, you'll learn how to use the pandas groupby operation, which draws from the well-known split-apply-combine strategy, on Netflix movie data.
Hugo Bowne-Anderson
26 сентября 2017 г.
Poker Probability and Statistics with Python
Tackle probability and statistics in Python: learn more about combinations and permutations, dependent and independent events, and expected value.
Daniel Poston
21 сентября 2017 г.
Graph Optimization with NetworkX in Python
This NetworkX tutorial will show you how to do graph optimization in Python by solving the Chinese Postman Problem in Python.
Andrew Brooks
12 сентября 2017 г.
Detecting Fake News with Scikit-Learn
This scikit-learn tutorial will walk you through building a fake news classifier with the help of Bayesian models.
Katharine Jarmul
24 августа 2017 г.
Python Seaborn Tutorial: A Guide to Statistical Data Visualization
Master statistical data visualization in Python using Seaborn with hands-on examples and best practices.
Moez Ali
22 мая 2026 г.
Apache Spark Tutorial: ML with PySpark
Apache Spark tutorial introduces you to big data processing, analysis and ML with PySpark.
Karlijn Willems
28 июля 2017 г.
Scikit-Learn Tutorial: Baseball Analytics Pt 2
A Scikit-Learn tutorial to using logistic regression and random forest models to predict which baseball players will be voted into the Hall of Fame
Daniel Poston
20 июня 2017 г.
5 Tips to Write Idiomatic Pandas Code
This tutorial covers 5 ways in which you can easily write pandorable or more idiomatic Pandas code.
DataCamp Team
26 июня 2025 г.