
Julia for Data Analysis
Bogumil Kaminski(Author)
Manning Publications (Publisher)
Published on 3. January 2023
Book
Paperback/Softback
426 pages
978-1-63343-936-8 (ISBN)
Description
Master core data analysis skills using Julia. Julia for Data Analysis is a fascinating, hands-on projects guide you through time series data, predictive models, popularity ranking, and more.
With this book, you will learn how to:
Read and write data in various formats
Work with tabular data, including subsetting, grouping, and transforming
Visualise your data using plots
Perform statistical analysis
Build predictive models
Create complex data processing pipelines
Julia was designed for the unique needs of data scientists: it's expressive and easy-to-use whilst also delivering super fast code execution.
Julia for Data Analysis teaches you how to perform core data science tasks with this amazing language. It is written by Bogumil Kaminski, a top contributor to Julia, #1 Julia answerer on StackOverflow, and a lead developer of Julia's core data package DataFrames.jl.
You will learn how to write production-quality code in Julia, and utilize Julia's core features for data gathering, visualisation, and working with data frames. Plus, the engaging hands-on projects get you into the action quickly.
About the technology Julia is a huge step forward for data science and scientific computing. It is a powerful high-performance programming language with many developer-friendly features like garbage collection, dynamic typing, just-in-time compilation, and a flexible approach to concurrent, parallel, and distributed computing. Although Julia's strong numerical programming features make it a favorite of data scientists, it is also an awesome general purpose programming language.
About the reader For data scientists familiar with Python or R. No experience with Julia required.
With this book, you will learn how to:
Read and write data in various formats
Work with tabular data, including subsetting, grouping, and transforming
Visualise your data using plots
Perform statistical analysis
Build predictive models
Create complex data processing pipelines
Julia was designed for the unique needs of data scientists: it's expressive and easy-to-use whilst also delivering super fast code execution.
Julia for Data Analysis teaches you how to perform core data science tasks with this amazing language. It is written by Bogumil Kaminski, a top contributor to Julia, #1 Julia answerer on StackOverflow, and a lead developer of Julia's core data package DataFrames.jl.
You will learn how to write production-quality code in Julia, and utilize Julia's core features for data gathering, visualisation, and working with data frames. Plus, the engaging hands-on projects get you into the action quickly.
About the technology Julia is a huge step forward for data science and scientific computing. It is a powerful high-performance programming language with many developer-friendly features like garbage collection, dynamic typing, just-in-time compilation, and a flexible approach to concurrent, parallel, and distributed computing. Although Julia's strong numerical programming features make it a favorite of data scientists, it is also an awesome general purpose programming language.
About the reader For data scientists familiar with Python or R. No experience with Julia required.
Reviews / Votes
"A brilliant guide to data analysis with Julia."Kevin Cheung, Carleton University
"One of the best structured and well-written presentations of language fundamentals and analysis concepts that I've encountered. I highly recommend this book."
Maureen Metzger, Kumanu
"A solid, hands-on, and really enjoyable introduction to Julia."
Sonja Krause-Harder, Elastic
More details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 231 mm
Width: 186 mm
Thickness: 25 mm
Weight
800 gr
ISBN-13
978-1-63343-936-8 (9781633439368)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Bogumil Bogumil
Julia for Data Analysis
E-Book
02/2023
1st Edition
Manning
€49.44
Available for download
Person
Bogumil Kaminski is one of the lead developers of DataFrames.jl - the core package for data manipulation in the Julia ecosystem. He has over 20 years of experience delivering data science projects for corporate customers. He has been teaching data science at the undergraduate and graduate levels for two decades.