0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Python Data Analysis, Second Edition

You're reading from Python Data Analysis, Second Edition Data manipulation and complex data analysis with Python

Product type Paperback

Published in Mar 2017

Publisher Packt

ISBN-13 9781787127487

Length 330 pages

Edition 2nd Edition

Languages

Python

Tools

Scikit-learn

Concepts

Data Analysis

Author (1):

Ivan Idris

View More author details

Table of Contents (16) Chapters

Preface

1. Getting Started with Python Libraries FREE CHAPTER

2. NumPy Arrays

3. The Pandas Primer

4. Statistics and Linear Algebra

5. Retrieving, Processing, and Storing Data

6. Data Visualization

7. Signal Processing and Time Series

8. Working with Databases

9. Analyzing Textual Data and Social Media

10. Predictive Analytics and Machine Learning

11. Environments Outside the Python Ecosystem and Cloud Computing

12. Performance Tuning, Profiling, and Concurrency

A. Key Concepts

B. Useful Functions

C. Online Resources

Listing modules inside the Python libraries

The ch-01.ipynb file contains the code for looking at the modules inside the NumPy, SciPy, Pandas, and Matplotlib libraries. Don't worry about understanding the code just trying to run it for now. You can modify this code to look at the modules inside other libraries as well.

You have been reading a chapter from

Python Data Analysis, Second Edition - Second Edition

Published in: Mar 2017

Publisher: Packt

ISBN-13: 9781787127487

© 2017 Packt Publishing Limited All Rights Reserved

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at €18.99/month. Cancel anytime

Authors (1)

Idris

Idris

Ivan Idris has an MSc in experimental physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are business intelligence, big data, and cloud computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. Ivan Idris is the author of NumPy 1.5. Beginner's Guide and NumPy Cookbook by Packt Publishing.

See other products by Idris

Other recommended products

Related to this chapter

Python Data Analysis

Python Data Analysis

This book takes a practical approach to Python data analysis, showing you how to use Python libraries such as pandas, NumPy, SciPy, and scikit-learn to analyze a variety of data. You'll also get up to speed with everything from data manipulation to visualization systematically.

Feb 2021 15h 56m

Python Data Analysis

Python Data Analysis

This book takes a practical approach to Python data analysis, showing you how to use Python libraries such as pandas, NumPy, SciPy, and scikit-learn to analyze a variety of data. You'll also get up to speed with everything from data manipulation to visualization systematically.

Feb 2021 15h 56m

Python Data Analysis

Python Data Analysis

This book takes a practical approach to Python data analysis, showing you how to use Python libraries such as pandas, NumPy, SciPy, and scikit-learn to analyze a variety of data. You'll also get up to speed with everything from data manipulation to visualization systematically.

Feb 2021 15h 56m

Python Data Analysis

Python Data Analysis

This book takes a practical approach to Python data analysis, showing you how to use Python libraries such as pandas, NumPy, SciPy, and scikit-learn to analyze a variety of data. You'll also get up to speed with everything from data manipulation to visualization systematically.

Feb 2021 15h 56m

Python Data Analysis

Python Data Analysis

This book takes a practical approach to Python data analysis, showing you how to use Python libraries such as pandas, NumPy, SciPy, and scikit-learn to analyze a variety of data. You'll also get up to speed with everything from data manipulation to visualization systematically.

Feb 2021 15h 56m

Python Data Analysis

Python Data Analysis

This book takes a practical approach to Python data analysis, showing you how to use Python libraries such as pandas, NumPy, SciPy, and scikit-learn to analyze a variety of data. You'll also get up to speed with everything from data manipulation to visualization systematically.

Feb 2021 15h 56m

Python Data Analysis

Python Data Analysis

This book takes a practical approach to Python data analysis, showing you how to use Python libraries such as pandas, NumPy, SciPy, and scikit-learn to analyze a variety of data. You'll also get up to speed with everything from data manipulation to visualization systematically.

Feb 2021 15h 56m

Python Data Analysis

Python Data Analysis

This book takes a practical approach to Python data analysis, showing you how to use Python libraries such as pandas, NumPy, SciPy, and scikit-learn to analyze a variety of data. You'll also get up to speed with everything from data manipulation to visualization systematically.

Feb 2021 15h 56m

Python Data Analysis

Python Data Analysis

This book takes a practical approach to Python data analysis, showing you how to use Python libraries such as pandas, NumPy, SciPy, and scikit-learn to analyze a variety of data. You'll also get up to speed with everything from data manipulation to visualization systematically.

Feb 2021 15h 56m

Python Data Analysis

Python Data Analysis

This book takes a practical approach to Python data analysis, showing you how to use Python libraries such as pandas, NumPy, SciPy, and scikit-learn to analyze a variety of data. You'll also get up to speed with everything from data manipulation to visualization systematically.

Feb 2021 15h 56m

Python Data Analysis

Python Data Analysis

This book takes a practical approach to Python data analysis, showing you how to use Python libraries such as pandas, NumPy, SciPy, and scikit-learn to analyze a variety of data. You'll also get up to speed with everything from data manipulation to visualization systematically.

Feb 2021 15h 56m

Python Data Analysis

Python Data Analysis

This book takes a practical approach to Python data analysis, showing you how to use Python libraries such as pandas, NumPy, SciPy, and scikit-learn to analyze a variety of data. You'll also get up to speed with everything from data manipulation to visualization systematically.

Feb 2021 15h 56m

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m