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Pandas in action, boris paskhaver

910 грн -8% 840 грн
Описание

Take the next steps in your data science career! This friendly and hands-on
guide shows you how to start mastering Pandas with skills you already know
from spreadsheet software.

In

Pandas in Action

you will learn how to:

Import datasets, identify issues with their data structures, and optimize them
for efficiency

Sort, filter, pivot, and draw conclusions from a dataset and its subsets

Identify trends from text-based and time-based data

Organize, group, merge, and join separate datasets

Use a GroupBy object to store multiple DataFrames

Pandas has rapidly become one of Python's most popular data analysis
libraries. In

Pandas in Action

, a friendly and example-rich introduction, author Boris Paskhaver shows you
how to master this versatile tool and take the next steps in your data science
career. You'll learn how easy Pandas makes it to efficiently sort, analyze,
filter and munge almost any type of data.

About the technology

Data analysis with Python doesn't have to be hard. If you can use a
spreadsheet, you can learn pandas! While its grid-style layouts may remind you
of Excel, pandas is far more flexible and powerful. This Python library
quickly performs operations on millions of rows, and it interfaces easily with
other tools in the Python data ecosystem. It's a perfect way to up your data
game.

About the book

Pandas in Action

introduces Python-based data analysis using the amazing pandas library. You'll
learn to automate repetitive operations and gain deeper insights into your
data that would be impractical—or impossible—in Excel. Each chapter is a self-
contained tutorial. Realistic downloadable datasets help you learn from the
kind of messy data you'll find in the real world.

What's inside

Organize, group, merge, split, and join datasets

Find trends in text-based and time-based data

Sort, filter, pivot, optimize, and draw conclusions

Apply aggregate operations

About the reader

For readers experienced with spreadsheets and basic Python programming.

About the author

Boris Paskhaver

is a software engineer, Agile consultant, and online educator. His programming
courses have been taken by 300,000 students across 190 countries.

Table of Contents

PART 1 CORE PANDAS

1 Introducing pandas

2 The Series object

3 Series methods

4 The DataFrame object

5 Filtering a DataFrame

PART 2 APPLIED PANDAS

6 Working with text data

7 MultiIndex DataFrames

8 Reshaping and pivoting

9 The GroupBy object

10 Merging, joining, and concatenating

11 Working with dates and times

12 Imports and exports

13 Configuring pandas

14 Visualization

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