Search icon Close icon
Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Checkout

Change country

Modal Close icon
Country selected Country selected
country flag Germany
Country selected
country flag Slovakia
Country selected
country flag Canada
Country selected
country flag Brazil
Country selected
country flag Singapore
Country selected
country flag Hungary
Country selected
country flag Philippines
Country selected
country flag Mexico
Country selected
country flag Thailand
Country selected
country flag Ukraine
Country selected
country flag Luxembourg
Country selected
country flag Estonia
Country selected
country flag Lithuania
Country selected
country flag Norway
Country selected
country flag Chile
Country selected
country flag United States
Country selected
country flag Great Britain
Country selected
country flag India
Country selected
country flag Spain
Country selected
country flag South Korea
Country selected
country flag Ecuador
Country selected
country flag Colombia
Country selected
country flag Taiwan
Country selected
country flag Switzerland
Country selected
country flag Indonesia
Country selected
country flag Cyprus
Country selected
country flag Denmark
Country selected
country flag Finland
Country selected
country flag Poland
Country selected
country flag Malta
Country selected
country flag Czechia
Country selected
country flag New Zealand
Country selected
country flag Austria
Country selected
country flag Turkey
Country selected
country flag France
Country selected
country flag Sweden
Country selected
country flag Italy
Country selected
country flag Egypt
Country selected
country flag Belgium
Country selected
country flag Portugal
Country selected
country flag Slovenia
Country selected
country flag Ireland
Country selected
country flag Romania
Country selected
country flag Greece
Country selected
country flag Argentina
Country selected
country flag Malaysia
Country selected
country flag South Africa
Country selected
country flag Netherlands
Country selected
country flag Bulgaria
Country selected
country flag Latvia
Country selected
country flag Australia
Country selected
country flag Japan
Country selected
country flag Russia
Country selected
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Home > Data > Data Analysis > Hands-On Data Analysis with Pandas
Hands-On Data Analysis with Pandas
Hands-On Data Analysis with Pandas

Hands-On Data Analysis with Pandas: Efficiently perform data collection, wrangling, analysis, and visualization using Python

Arrow left icon
Profile Icon Stefanie Molin
Arrow right icon
$24.99 $35.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (11 Ratings)
eBook Jul 2019 740 pages 1st Edition
eBook
$24.99 $35.99
Paperback
$48.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Stefanie Molin
Arrow right icon
$24.99 $35.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (11 Ratings)
eBook Jul 2019 740 pages 1st Edition
eBook
$24.99 $35.99
Paperback
$48.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$24.99 $35.99
Paperback
$48.99
Subscription
Free Trial
Renews at $19.99p/m

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR

Contact Details

Modal Close icon
Payment Processing...
tick Completed

Billing Address

Table of content icon View table of contents Preview book icon Preview Book

Hands-On Data Analysis with Pandas

Section 1: Getting Started with Pandas

Our journey begins with an introduction to data analysis and statistics, which will lay a strong foundation for the concepts we will cover throughout the book. Then, we will set up our Python data science environment, which contains everything we will need to work through the examples, and get started with learning the basics of pandas.

The following chapters are included in this section:

Left arrow icon

Page 1 of 1

Right arrow icon

Key benefits

  • 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.

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.

Who is this book 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.

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

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 26, 2019
Length: 740 pages
Edition : 1st
Language : English
ISBN-13 : 9781789612806
Category :
Data
Languages :
Python
Concepts :
Data Analysis
Tools :
Pandas

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR

Contact Details

Modal Close icon
Payment Processing...
tick Completed

Billing Address

Product Details

Publication date : Jul 26, 2019
Length: 740 pages
Edition : 1st
Language : English
ISBN-13 : 9781789612806
Category :
Data
Languages :
Python
Concepts :
Data Analysis
Tools :
Pandas

Packt Subscriptions

See our plans and pricing
Modal Close icon
$19.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
START FREE TRIAL
BUY NOW
$199.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts
START FREE TRIAL
BUY NOW
$279.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts
START FREE TRIAL
BUY NOW

Frequently bought together

Mastering pandas
Mastering pandas
Read more
Oct 2019 674 pages
eBook
eBook
  • eBook eBook $24.99
  • Paperback Paperback $48.99
$24.99 $35.99
$48.99
Python Machine Learning
Python Machine Learning
Read more
Dec 2019 772 pages
Full star icon 4.5 (41)
eBook
eBook
  • eBook eBook $29.99
  • Paperback Paperback $54.99
$29.99 $43.99
$54.99
Hands-On Data Analysis with Pandas
Hands-On Data Analysis with Pandas
Read more
Jul 2019 740 pages
Full star icon 4.7 (11)
eBook
eBook
  • eBook eBook $24.99
  • Paperback Paperback $48.99
$24.99 $35.99
$48.99
Stars icon
Total $ 152.97
Mastering pandas
$48.99
Python Machine Learning
$54.99
Hands-On Data Analysis with Pandas
$48.99
Total $ 152.97 Stars icon

Table of Contents

19 Chapters
Section 1: Getting Started with Pandas Chevron down icon Chevron up icon
Section 1: Getting Started with Pandas
Introduction to Data Analysis Chevron down icon Chevron up icon
Introduction to Data Analysis
Chapter materials
Fundamentals of data analysis
Statistical foundations
Setting up a virtual environment
Summary
Exercises
Further reading
Working with Pandas DataFrames Chevron down icon Chevron up icon
Working with Pandas DataFrames
Chapter materials
Pandas data structures
Bringing data into a pandas DataFrame
Inspecting a DataFrame object
Grabbing subsets of the data
Adding and removing data
Summary
Exercises
Further reading
Section 2: Using Pandas for Data Analysis Chevron down icon Chevron up icon
Section 2: Using Pandas for Data Analysis
Data Wrangling with Pandas Chevron down icon Chevron up icon
Data Wrangling with Pandas
Chapter materials
What is data wrangling?
Collecting temperature data
Cleaning up the data
Restructuring the data
Handling duplicate, missing, or invalid data
Summary
Exercises
Further reading
Aggregating Pandas DataFrames Chevron down icon Chevron up icon
Aggregating Pandas DataFrames
Chapter materials
Database-style operations on DataFrames
DataFrame operations
Aggregations with pandas and numpy
Time series
Summary
Exercises
Further reading
Visualizing Data with Pandas and Matplotlib Chevron down icon Chevron up icon
Visualizing Data with Pandas and Matplotlib
Chapter materials
An introduction to matplotlib
Plotting with pandas
The pandas.plotting subpackage
Summary
Exercises
Further reading
Plotting with Seaborn and Customization Techniques Chevron down icon Chevron up icon
Plotting with Seaborn and Customization Techniques
Chapter materials
Utilizing seaborn for advanced plotting
Formatting
Customizing visualizations
Summary
Exercises
Further reading
Section 3: Applications - Real-World Analyses Using Pandas Chevron down icon Chevron up icon
Section 3: Applications - Real-World Analyses Using Pandas
Financial Analysis - Bitcoin and the Stock Market Chevron down icon Chevron up icon
Financial Analysis - Bitcoin and the Stock Market
Chapter materials
Building a Python package
Data extraction with pandas
Exploratory data analysis
Technical analysis of financial instruments
Modeling performance
Summary
Exercises
Further reading
Rule-Based Anomaly Detection Chevron down icon Chevron up icon
Rule-Based Anomaly Detection
Chapter materials
Simulating login attempts
Exploratory data analysis
Rule-based anomaly detection
Summary
Exercises
Further reading
Section 4: Introduction to Machine Learning with Scikit-Learn Chevron down icon Chevron up icon
Section 4: Introduction to Machine Learning with Scikit-Learn
Getting Started with Machine Learning in Python Chevron down icon Chevron up icon
Getting Started with Machine Learning in Python
Chapter materials
Learning the lingo
Exploratory data analysis
Preprocessing data
Clustering
Regression
Classification
Summary
Exercises
Further reading
Making Better Predictions - Optimizing Models Chevron down icon Chevron up icon
Making Better Predictions - Optimizing Models
Chapter materials
Hyperparameter tuning with grid search
Feature engineering
Ensemble methods
Inspecting classification prediction confidence
Addressing class imbalance
Regularization
Summary
Exercises
Further reading
Machine Learning Anomaly Detection Chevron down icon Chevron up icon
Machine Learning Anomaly Detection
Chapter materials
Exploring the data
Unsupervised methods
Supervised methods
Online learning
Summary
Exercises
Further reading
Section 5: Additional Resources Chevron down icon Chevron up icon
Section 5: Additional Resources
The Road Ahead Chevron down icon Chevron up icon
The Road Ahead
Data resources
Practicing working with data
Python practice
Summary
Exercises
Further reading
Solutions Chevron down icon Chevron up icon
Solutions
Other Books You May Enjoy Chevron down icon Chevron up icon
Other Books You May Enjoy
Leave a review - let other readers know what you think

Recommendations for you

Left arrow icon
Python Machine Learning By Example
Python Machine Learning By Example
Read more
Jul 2024 518 pages
Full star icon 4.9 (8)
eBook
eBook
  • eBook eBook $24.99
  • Paperback Paperback $45.99
$24.99 $36.99
$45.99
Unlocking Data with Generative AI and RAG
Unlocking Data with Generative AI and RAG
Read more
Sep 2024 346 pages
eBook
eBook
  • eBook eBook $21.99
  • Paperback Paperback $39.99
$21.99 $31.99
$39.99
Building LLM Powered Applications
Building LLM Powered Applications
Read more
May 2024 342 pages
Full star icon 4.2 (22)
eBook
eBook
  • eBook eBook $27.98
  • Paperback Paperback $49.99
$27.98 $39.99
$49.99
Python for Algorithmic Trading Cookbook
Python for Algorithmic Trading Cookbook
Read more
Aug 2024 404 pages
Full star icon 4.6 (15)
eBook
eBook
  • eBook eBook $32.99
  • Paperback Paperback $59.99
$32.99 $47.99
$59.99
Machine Learning with PyTorch and Scikit-Learn
Machine Learning with PyTorch and Scikit-Learn
Read more
Feb 2022 774 pages
Full star icon 4.4 (95)
eBook
eBook
  • eBook eBook $29.99
  • Paperback Paperback $54.99
$29.99 $43.99
$54.99
Artificial Intelligence Engines
Artificial Intelligence Engines
Read more
Nov 2024 217 pages
eBook
eBook
  • eBook eBook $6.98
$6.98 $9.99
AI Product Manager's Handbook
AI Product Manager's Handbook
Read more
Nov 2024 484 pages
eBook
eBook
  • eBook eBook $27.98
  • Paperback Paperback $49.99
$27.98 $39.99
$49.99
RAG-Driven Generative AI
RAG-Driven Generative AI
Read more
Sep 2024 334 pages
Full star icon 4.5 (13)
eBook
eBook
  • eBook eBook $24.99
  • Paperback Paperback $43.99
$24.99 $35.99
$43.99
Hands-On Reinforcement Learning with Python
Hands-On Reinforcement Learning with Python
Read more
Jun 2018 318 pages
Full star icon 2.6 (18)
eBook
eBook
  • eBook eBook $20.98
  • Paperback Paperback $38.99
$20.98 $29.99
$38.99
LLM Engineer's Handbook
LLM Engineer's Handbook
Read more
Oct 2024 522 pages
Full star icon 4.9 (15)
eBook
eBook
  • eBook eBook $47.99
  • Paperback Paperback $59.99
$47.99
$59.99
Right arrow icon

Customer reviews

Top Reviews
  • Top Reviews
  • Most Recent
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7
(11 Ratings)
5 star 90.9%
4 star 0%
3 star 0%
2 star 9.1%
1 star 0%
Filter icon Filter
Top Reviews
  • Top Reviews
  • Most Recent

Filter reviews by

Ali Assad Apr 06, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Excellent book! If you are looking to sharpen up on pandas and data analysis in python in general (not only pandas) this is a very solid. In my case I needed a strong refresher and this book was a great choice going beyond that. The accompanying notebooks are great too.
Amazon Verified review Amazon
Felipe M. Sep 21, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
If you are new to Pandas and looking for a way to get up to speed fast this is a great book. Lots of good examples to see how to apply the concepts in real life, which helps a lot to understand how the different dataframe methods work. You can see the author payed a lot of attention to the detail, from the way to breakdown the chapters to the choice of exercises at the end of each chapter.As a Python programmer Learning Pandas I also appreciate a lot the quality of the code. Usually the code you find in data science examples get things done but it’s far from being of good quality. It’s very refreshing to see good examples written in a very pythonic way.I keep this book next to my desk and I have the feeling I will be coming back to use it as a reference a lot in the coming weeks. The only way this could be improved would be to have the author sit next to you every time you need to use Pandas :)
Amazon Verified review Amazon
Amazon Customer Nov 16, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Having just started on my Pandas journey and coming from a non technical background, I find this book simple and the exercises relatable .
Amazon Verified review Amazon
CryptoKnight Aug 30, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I really enjoyed this book. This book is great for python programmers who want to learn/implement something cool with data using Pandas (of-course). With some programming background in python/R/C, this book is perfect for the data scientist wannabe. Every chapter has a very interesting exercise set. Easy to follow. I am glad that the author has provided the github repo for this too, way better than reading code from the book alone! The book starts from easy steps e.g., import data, transform, basic computations, more fancy topics like plotting, to more advanced and application-specific like finance, machine learning (yes the book also talked about this in practical aspect!, using sklearn), security analytics!I can't say enough good things about this book and about how effective it is. I started 10 days ago with a skill of python but no data science background. Now, nearly two weeks later, I'm making my scripts do all kinds of things that are complicated if you don't know Pandas e.g., aggregate statistics based on duration (day, week, ..). I genuinely found this book and the exercises a truly beneficial experience/resource. Honestly I usually don't trust this publisher. Most Packt books I own I think weren't worth their price. This book is surprisingly good quality. Finally they have a good author.
Amazon Verified review Amazon
Adam Mar 23, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Amazing read. Very thorough, covering a broad range of topics in the data science space. I would highly recommend starting with this book for anyone interested in building a foundation in Data Science.
Amazon Verified review Amazon

People who bought this also bought

Left arrow icon
Machine Learning Engineering with Python
Machine Learning Engineering with Python
Read more
Aug 2023 462 pages
Full star icon 4.6 (36)
eBook
eBook
  • eBook eBook $27.98
  • Paperback Paperback $49.99
$27.98 $39.99
$49.99
Deep Learning with TensorFlow and Keras – 3rd edition
Deep Learning with TensorFlow and Keras – 3rd edition
Read more
Oct 2022 698 pages
Full star icon 4.6 (45)
eBook
eBook
  • eBook eBook $27.98
  • Paperback Paperback $49.99
$27.98 $39.99
$49.99
Modern Generative AI with ChatGPT and OpenAI Models
Modern Generative AI with ChatGPT and OpenAI Models
Read more
May 2023 286 pages
Full star icon 4.2 (34)
eBook
eBook
  • eBook eBook $27.98
  • Paperback Paperback $49.99
$27.98 $39.99
$49.99
Generative AI with LangChain
Generative AI with LangChain
Read more
Dec 2023 368 pages
Full star icon 4 (34)
eBook
eBook
  • eBook eBook $27.98
  • Paperback Paperback $49.99
$27.98 $39.99
$49.99
Causal Inference and Discovery in Python
Causal Inference and Discovery in Python
Read more
May 2023 456 pages
Full star icon 4.5 (49)
eBook
eBook
  • eBook eBook $21.99
  • Paperback Paperback $39.99
$21.99 $31.99
$39.99
Right arrow icon

About the author

Profile icon Stefanie Molin
Stefanie Molin
Github icon
Stefanie Molin is a data scientist and software engineer at Bloomberg LP in NYC, tackling tough problems in information security, particularly revolving around anomaly detection, building tools for gathering data, and knowledge sharing. She has extensive experience in data science, designing anomaly detection solutions, and utilizing machine learning in both R and Python in the AdTech and FinTech industries. She holds a B.S. in operations research from Columbia University's Fu Foundation School of Engineering and Applied Science, with minors in economics, and entrepreneurship and innovation. In her free time, she enjoys traveling the world, inventing new recipes, and learning new languages spoken among both people and computers.
Read more
See other products by Stefanie Molin
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

How do I buy and download an eBook? Chevron down icon Chevron up icon

Where there is an eBook version of a title available, you can buy it from the book details for that title. Add either the standalone eBook or the eBook and print book bundle to your shopping cart. Your eBook will show in your cart as a product on its own. After completing checkout and payment in the normal way, you will receive your receipt on the screen containing a link to a personalised PDF download file. This link will remain active for 30 days. You can download backup copies of the file by logging in to your account at any time.

If you already have Adobe reader installed, then clicking on the link will download and open the PDF file directly. If you don't, then save the PDF file on your machine and download the Reader to view it.

Please Note: Packt eBooks are non-returnable and non-refundable.

Packt eBook and Licensing When you buy an eBook from Packt Publishing, completing your purchase means you accept the terms of our licence agreement. Please read the full text of the agreement. In it we have tried to balance the need for the ebook to be usable for you the reader with our needs to protect the rights of us as Publishers and of our authors. In summary, the agreement says:

  • You may make copies of your eBook for your own use onto any machine
  • You may not pass copies of the eBook on to anyone else
How can I make a purchase on your website? Chevron down icon Chevron up icon

If you want to purchase a video course, eBook or Bundle (Print+eBook) please follow below steps:

  1. Register on our website using your email address and the password.
  2. Search for the title by name or ISBN using the search option.
  3. Select the title you want to purchase.
  4. Choose the format you wish to purchase the title in; if you order the Print Book, you get a free eBook copy of the same title. 
  5. Proceed with the checkout process (payment to be made using Credit Card, Debit Cart, or PayPal)
Where can I access support around an eBook? Chevron down icon Chevron up icon
  • If you experience a problem with using or installing Adobe Reader, the contact Adobe directly.
  • To view the errata for the book, see www.packtpub.com/support and view the pages for the title you have.
  • To view your account details or to download a new copy of the book go to www.packtpub.com/account
  • To contact us directly if a problem is not resolved, use www.packtpub.com/contact-us
What eBook formats do Packt support? Chevron down icon Chevron up icon

Our eBooks are currently available in a variety of formats such as PDF and ePubs. In the future, this may well change with trends and development in technology, but please note that our PDFs are not Adobe eBook Reader format, which has greater restrictions on security.

You will need to use Adobe Reader v9 or later in order to read Packt's PDF eBooks.

What are the benefits of eBooks? Chevron down icon Chevron up icon
  • You can get the information you need immediately
  • You can easily take them with you on a laptop
  • You can download them an unlimited number of times
  • You can print them out
  • They are copy-paste enabled
  • They are searchable
  • There is no password protection
  • They are lower price than print
  • They save resources and space
What is an eBook? Chevron down icon Chevron up icon

Packt eBooks are a complete electronic version of the print edition, available in PDF and ePub formats. Every piece of content down to the page numbering is the same. Because we save the costs of printing and shipping the book to you, we are able to offer eBooks at a lower cost than print editions.

When you have purchased an eBook, simply login to your account and click on the link in Your Download Area. We recommend you saving the file to your hard drive before opening it.

For optimal viewing of our eBooks, we recommend you download and install the free Adobe Reader version 9.