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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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Python

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.

Python

Asyncio: An Introduction

A short introduction to asynchronous I/O with the asyncio package.

DataCamp Team

8 мая 2017 г.

Python

Scikit-Learn Tutorial: Baseball Analytics Pt 1

A scikit-learn tutorial to predicting MLB wins per season by modeling data to KMeans clustering model and linear regression models.

Daniel Poston

4 мая 2017 г.

Data Visualization

Viewing 3D Volumetric Data With Matplotlib

In this Python tutorial, you'll make use of Matplotlib's event handler API to display the slices of an MRI dataset.

Juan Nunez-Iglesias

19 апреля 2017 г.

Data Analysis

Exploratory Data Analysis of Craft Beers: Data Profiling

In this tutorial, you'll learn about exploratory data analysis (EDA) in Python, and more specifically, data profiling with pandas.

DataCamp Team

13 апреля 2017 г.

Python

Python Exploratory Data Analysis Tutorial

Learn the basics of Exploratory Data Analysis (EDA) in Python with Pandas, Matplotlib and NumPy, such as sampling, feature engineering, correlation, etc.

Karlijn Willems

15 марта 2017 г.

Python

Python Dictionary Tutorial

In this Python tutorial, you'll learn how to create a dictionary, load data in it, filter, get and sort the values, and perform other dictionary operations.

DataCamp Team

16 февраля 2017 г.

Python

Scipy Tutorial: Vectors and Arrays (Linear Algebra)

A SciPy tutorial in which you'll learn the basics of linear algebra that you need for machine learning in Python, with a focus how to with NumPy.

Karlijn Willems

8 февраля 2017 г.

Web Scraping and Parsing Data in R | Exploring H-1b Data Pt. 1

Learn how to scrape data from the web, preprocess it and perform a basic exploratory data analysis with R

Ted Kwartler

12 января 2017 г.

Python

Preprocessing in Data Science (Part 3): Scaling Synthesized Data

You can preprocess the heck out of your data but the proof is in the pudding: how well does your model then perform?

Hugo Bowne-Anderson

10 мая 2016 г.

Machine Learning

Preprocessing in Data Science (Part 2): Centering, Scaling and Logistic Regression

Discover whether centering and scaling help your model in a logistic regression setting.

Hugo Bowne-Anderson

3 мая 2016 г.

Python

Preprocessing in Data Science (Part 1): Centering, Scaling, and KNN

This article will explain the importance of preprocessing in the machine learning pipeline by examining how centering and scaling can improve model performance.

Hugo Bowne-Anderson

26 апреля 2016 г.

Темы

Технологии

Учебники по Python

5 Tips to Write Idiomatic Pandas Code

Asyncio: An Introduction

Scikit-Learn Tutorial: Baseball Analytics Pt 1

Viewing 3D Volumetric Data With Matplotlib

Exploratory Data Analysis of Craft Beers: Data Profiling

Python Exploratory Data Analysis Tutorial

Python Dictionary Tutorial

Scipy Tutorial: Vectors and Arrays (Linear Algebra)

Web Scraping and Parsing Data in R | Exploring H-1b Data Pt. 1

Preprocessing in Data Science (Part 3): Scaling Synthesized Data

Preprocessing in Data Science (Part 2): Centering, Scaling and Logistic Regression

Preprocessing in Data Science (Part 1): Centering, Scaling, and KNN

Темы

Технологии