Mastering Exploratory Analysis with pandas

Build an end-to-end data analysis workflow with Python

Nonfiction, Computers, Database Management, Data Processing, Programming, Programming Languages, General Computing
Cover of the book Mastering Exploratory Analysis with pandas by Harish Garg, Packt Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Harish Garg ISBN: 9781789615470
Publisher: Packt Publishing Publication: September 29, 2018
Imprint: Packt Publishing Language: English
Author: Harish Garg
ISBN: 9781789615470
Publisher: Packt Publishing
Publication: September 29, 2018
Imprint: Packt Publishing
Language: English

Explore Python frameworks like pandas, Jupyter notebooks, and Matplotlib to build data pipelines and data visualization

Key Features

  • Learn to set up data analysis pipelines with pandas and Jupyter notebooks
  • Effective techniques for data selection, manipulation, and visualization
  • Introduction to Matplotlib for interactive data visualization using charts and plots

Book Description

The pandas is a Python library that lets you manipulate, transform, and analyze data. It is a popular framework for exploratory data visualization and analyzing datasets and data pipelines based on their properties.

This book will be your practical guide to exploring datasets using pandas. You will start by setting up Python, pandas, and Jupyter Notebooks. You will learn how to use Jupyter Notebooks to run Python code. We then show you how to get data into pandas and do some exploratory analysis, before learning how to manipulate and reshape data using pandas methods. You will also learn how to deal with missing data from your datasets, how to draw charts and plots using pandas and Matplotlib, and how to create some effective visualizations for your audience. Finally, you will wrapup your newly gained pandas knowledge by learning how to import data out of pandas into some popular file formats.

By the end of this book, you will have a better understanding of exploratory analysis and how to build exploratory data pipelines with Python.

What you will learn

  • Learn how to read different kinds of data into pandas DataFrames for data analysis
  • Manipulate, transform, and apply formulas to data imported into pandas DataFrames
  • Use pandas to analyze and visualize different kinds of data to gain real-world insights
  • Extract transformed data form pandas DataFrames and convert it into the formats your application expects
  • Manipulate model time-series data, perform algorithmic trading, derive results on fixed and moving windows, and more
  • Effective data visualization using Matplotlib

Who this book is for

If you are a budding data scientist looking to learn the popular pandas library, or a Python developer looking to step into the world of data analysis, this book is the ideal resource you need to get started. Some programming experience in Python will be helpful to get the most out of this course

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Explore Python frameworks like pandas, Jupyter notebooks, and Matplotlib to build data pipelines and data visualization

Key Features

Book Description

The pandas is a Python library that lets you manipulate, transform, and analyze data. It is a popular framework for exploratory data visualization and analyzing datasets and data pipelines based on their properties.

This book will be your practical guide to exploring datasets using pandas. You will start by setting up Python, pandas, and Jupyter Notebooks. You will learn how to use Jupyter Notebooks to run Python code. We then show you how to get data into pandas and do some exploratory analysis, before learning how to manipulate and reshape data using pandas methods. You will also learn how to deal with missing data from your datasets, how to draw charts and plots using pandas and Matplotlib, and how to create some effective visualizations for your audience. Finally, you will wrapup your newly gained pandas knowledge by learning how to import data out of pandas into some popular file formats.

By the end of this book, you will have a better understanding of exploratory analysis and how to build exploratory data pipelines with Python.

What you will learn

Who this book is for

If you are a budding data scientist looking to learn the popular pandas library, or a Python developer looking to step into the world of data analysis, this book is the ideal resource you need to get started. Some programming experience in Python will be helpful to get the most out of this course

More books from Packt Publishing

Cover of the book Core Data iOS Essentials by Harish Garg
Cover of the book Learning Facebook Application Development by Harish Garg
Cover of the book Microsoft System Center 2012 Configuration Manager: Administration Cookbook by Harish Garg
Cover of the book Node Cookbook - Third Edition by Harish Garg
Cover of the book Building Modern Web Applications Using Angular by Harish Garg
Cover of the book Mastering Linux Network Administration by Harish Garg
Cover of the book Oracle Business Intelligence Enterprise Edition 12c - Second Edition by Harish Garg
Cover of the book Storm Blueprints: Patterns for Distributed Real-time Computation by Harish Garg
Cover of the book Mudbox 2013 Cookbook by Harish Garg
Cover of the book IBM SPSS Modeler Essentials by Harish Garg
Cover of the book Cloud Native Programming with Golang by Harish Garg
Cover of the book Teaching with iPad How-To by Harish Garg
Cover of the book Hands-On Design Patterns with Java by Harish Garg
Cover of the book Deep Learning with PyTorch Quick Start Guide by Harish Garg
Cover of the book Mastering Unity 2D Game Development by Harish Garg
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy