Data
Reader small image

You're reading from  Mastering pandas. - Second Edition

Product typeBook
Published inOct 2019
Reading LevelIntermediate
Publisher
ISBN-139781789343236
Edition2nd Edition
Languages
Python
Tools
Pandas
Concepts
Scientific Computing
Right arrow
Author (1)
Ashish Kumar
Ashish Kumar
author image
Ashish Kumar

Ashish Kumar is a seasoned data science professional, a publisher author and a thought leader in the field of data science and machine learning. An IIT Madras graduate and a Young India Fellow, he has around 7 years of experience in implementing and deploying data science and machine learning solutions for challenging industry problems in both hands-on and leadership roles. Natural Language Procession, IoT Analytics, R Shiny product development, Ensemble ML methods etc. are his core areas of expertise. He is fluent in Python and R and teaches a popular ML course at Simplilearn. When not crunching data, Ashish sneaks off to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling start-ups.
Read more about Ashish Kumar

Right arrow

GeoPandas

GeoPandas is a Python package written on top of pandas that's used to work with geospatial data. It is designed to work with existing tools, such as desktop GIS, geospatial databases, web maps, and Python data tools.

GeoPandas allows you to easily perform operations in Python that would otherwise require a spatial database such as PostGIS.

What is geospatial data?

Spatial data, geospatial data, GIS data, and geodata are the names for numeric data that identifies the geographical location of a physical object such as a building, street, town, city, country, and so on according to a geographic coordinate system. Apart from the geographical location, geospatial data often also stores socioeconomic data, transaction...

lock icon
The rest of the page is locked
Previous Page
Chapter 7 of 21, Page 19
Next Page
You have been reading a chapter from
Mastering pandas. - Second Edition
Published in: Oct 2019Publisher: ISBN-13: 9781789343236
© 2019 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Ashish Kumar

Ashish Kumar is a seasoned data science professional, a publisher author and a thought leader in the field of data science and machine learning. An IIT Madras graduate and a Young India Fellow, he has around 7 years of experience in implementing and deploying data science and machine learning solutions for challenging industry problems in both hands-on and leadership roles. Natural Language Procession, IoT Analytics, R Shiny product development, Ensemble ML methods etc. are his core areas of expertise. He is fluent in Python and R and teaches a popular ML course at Simplilearn. When not crunching data, Ashish sneaks off to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling start-ups.
Read more about Ashish Kumar

Other recommended products

Related to this chapter

Mastering Exploratory Analysis with pandas

Mastering Exploratory Analysis with pandas

Exploratory data analysis exploits the visual properties of the datasets that are commonly used by data scientists. It helps you build custom data pipelines to address data analysis tasks. This book uses pandas, the most popular Python library for data analysis, and helps you build end-to-end exploratory data-analysis solutions

BookSep 2018140 pages
Learning pandas

Learning pandas

Pandas is a popular Python package used for practical, real world data analysis. It provides efficient fast, high-performance data structures that makes data exploration and analysis very easy. This learner's guide will help you through a comprehensive set of features provided by the pandas library to perform efficient data manipulation and analysis.

BookJun 2017446 pages
Hands-On Data Analysis with NumPy and Pandas

Hands-On Data Analysis with NumPy and Pandas

In this book, you will explore two important Python packages used by Data Analysts, NumPy & pandas. You will dive into different concepts such as reading, sorting, grouping of data, and also learn how to work with different data formats for your data analysis projects.

BookJun 2018168 pages5
Pandas Cookbook

Pandas Cookbook

Explore pandas, the powerful Python library for data analysis and manipulation by working on real-world datasets. Get to grips with the fundamentals and learn to use pandas to clean messy data, independently analyze groups within your data, make powerful time-series calculations, and create beautiful visualizations during exploratory data analysis.

BookOct 2017532 pages
Become a Python Data Analyst

Become a Python Data Analyst

Become a Python Data Analyst book introduces you to the mainstream libraries of Python’s Data Science stack. With proven examples and real-world datasets, this book teaches how to effectively perform data manipulation, visualize and analyze data patterns and brings you to the ladder of advanced topics like Predictive Analytics.

BookAug 2018178 pages
Hands-On Financial Trading with Python

Hands-On Financial Trading with Python

This book focuses on key Python analytics and algorithmic trading libraries used for backtesting. With the help of practical examples, you will learn the principle aspects of trading strategy development. The 14 profitable strategies included in the book will also help you build intuitions that will enable you to create your own strategy.

BookApr 2021360 pages
Python Data Analysis

Python Data Analysis

This book will show data analysis tasks, ranging from data retrieval, cleaning, manipulation, visualization, and storage to complex analysis and modeling using a variety of modules such as NumPy, SciPy, matplotlib, pandas, scikit-learn, and NLTK. You will be able to analyze different kinds of data including numeric, text, time-series, graph, and social media.

BookMar 2017330 pages
Statistics Crash Course for Beginners

Statistics Crash Course for Beginners

Through both theoretical and practical study with Python, this course will get you up to speed with all you need to know about statistics in programming—a core study of machine learning.

BookMar 2021329 pages
Pandas 1.x Cookbook

Pandas 1.x Cookbook

A new edition of the bestselling Pandas cookbook updated to pandas 1.x with new chapters on creating and testing, and exploratory data analysis. Recipes are written with modern pandas constructs. This book also covers EDA, tidying data, pivoting data, time-series calculations, visualizations, and more.

BookFeb 2020626 pages
Essential Statistics for Non-STEM Data Analysts

Essential Statistics for Non-STEM Data Analysts

Put your data science knowledge to work with this practical guide to statistics. You’ll understand the working mechanism of each method used and find out how data science algorithms function. This book will help you learn the statistical techniques required for key model building and functioning using Python.

BookNov 2020392 pages
Hands-On Exploratory Data Analysis with Python

Hands-On Exploratory Data Analysis with Python

This book provides practical knowledge about the main pillars of EDA including data cleaning, data preparation, data exploration, and data visualization. You can leverage the power of Python to understand, summarize and investigate your data in the best way possible. The book presents a unique approach to exploring hidden features in your data.

BookMar 2020352 pages
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.

BookFeb 2021478 pages5

Personalised recommendations for you

Based on your interests and search pattern

Et al.

Et al.

Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.

BookAug 2023230 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages4
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages1
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Mastering Tableau 2023

Mastering Tableau 2023

This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.

BookAug 2023684 pages
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages5
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages2
Data Engineering with AWS

Data Engineering with AWS

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.

BookOct 2023636 pages5
Modern Data Architecture on AWS

Modern Data Architecture on AWS

Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.

BookAug 2023420 pages5
Practical Guide to Applied Conformal Prediction in Python

Practical Guide to Applied Conformal Prediction in Python

Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.

BookDec 2023240 pages
TinyML Cookbook

TinyML Cookbook

With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.

BookNov 2023664 pages