Introduction to Data Science with Python Basics of Numpy and Pandas
“Introduction to Data Science with Python Basics of Numpy and Pandas” by Mark Smart is a comprehensive guide published by Amazon Digital Services LLC – KDP Print US on November 9, 2018. This 102-page book is written in English and serves as an introduction to utilizing the Pandas and Numpy libraries within the Python programming language for data analysis. It covers essential concepts in data science, starting with the basics of Numpy arrays and progressing to data manipulation techniques using Pandas.
Readers will find detailed instructions on working with various data storage formats, including MS Excel, CSV files, and JSON. The book addresses the challenges of data cleansing, including handling outliers and missing values, and provides insights into calculating statistical measures and visualizing data. Topics such as data wrangling and measures of central tendency are explored, making this guide a practical resource for those looking to enhance their skills in data science using Python.
Official synopsis Publisher
This book is a guide for you on how to use Pandas and Numpy in Python programming language for data analysis. The author begins by helping you familiarize yourself with the basics of data science, Numpy and Pandas. You are guided on how to work with Numpy arrays and how to manipulate them. The various operations that you can perform on your data via the Pandas library have been discussed. You will also know how to create various data structures in Pandas for data storage. Data from the environment is dirty. The process of cleaning such data has been discussed. This involves handling outliers, missing values etc. The author guides you on how to work with data in various types of storage formats. Examples include MS Excel, CSV files, JSON, etc. You are also guided on how to calculate various measures for your data. The process of visualizing data has been explored in detail. About this book:
- Getting Started with Python for Data Science
- Working with Numpy
- Working with Pandas
- Cleansing Data
- Working with CSV Data
- Working with XLS Data
- Data Wrangling
- Measures of Central Tendency
- Calculating Variance
- Normal Distribution
- Working with JSON Data
- Data Visualization
Tags: data science with python, python, pandas programming, numpy, pandas, pandas python, pandas in python, numpy in python, numpy python, numpy pandas, data science, ms excel books, json, python for data science, pivot tables, excel pivot tables, data visualisation, data visualisation python, data visualisation for dummies, data visualisation excel, algorithms for data science.
Publisher
Topics
FAQ
What is “Introduction to Data Science with Python Basics of Numpy and Pandas” about?
Who is the author of “Introduction to Data Science with Python Basics of Numpy and Pandas”?
When was “Introduction to Data Science with Python Basics of Numpy and Pandas” published?
What is the ISBN for “Introduction to Data Science with Python Basics of Numpy and Pandas”?
What are the book details (language, pages, edition)?
