Hands-On Data Analysis with Pandas

Efficiently perform data collection, wrangling, analysis, and visualization using Python

Publisher:Packt Publishing Limited

By: Stefanie Molin

Paid access

|Jun 2024

E-Book €30.99Institutions €126.95

Description

Get to grips with pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery

Key Features

Perform efficient data analysis and manipulation tasks using pandas
Apply pandas to different real-world domains with the help of step-by-step demonstrations
Get accustomed to using pandas as an effective data exploration tool.

Book Description

Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value.

Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data.

By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets.

What you will learn

Understand how data analysts and scientists gather and analyze data
Perform data analysis and data wrangling using Python
Combine, group, and aggregate data from multiple sources
Create data visualizations with pandas, matplotlib, and seaborn
Apply machine learning (ML) algorithms to identify patterns and make predictions
Use Python data science libraries to analyze real-world datasets
Use pandas to solve common data representation and analysis problems
Build Python scripts, modules, and packages for reusable analysis code

Who this book is for

This book is for data analysts, data science beginners, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. You will also find this book useful if you are a data scientist looking to implement pandas in machine learning. Working knowledge of Python programming language will be beneficial.

Introduction to Data Analysis
Working with Pandas DataFrames
Data Wrangling with Pandas
Aggregating Pandas DataFrames
Data Visualization with Pandas and Matplotlib
Plotting with Seaborn and Customization Techniques
Financial Analysis with Pandas: Bitcoin and the Stock Market
Rule-based Anomaly Detection: Catching Hackers
Getting started with Machine Learning in Python
Making Better Predictions: Optimizing ML Models
ML Anomaly Detection: Catching Hackers, Part 2
The Road Ahead

Table of contents

Authors

Metrics

PDF ISBN: 978-1-78961-280-6

Publisher: Packt Publishing Limited

Publication date: 2024

Language: English

Pages: 740

Related subjects:

Computer sciences,

Databases and data mining

Hands-On Data Analysis with Pandas

Key Features

Book Description

What you will learn

Who this book is for

Table of Contents

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