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 Kamiński, 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, …
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 Kamiński, 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.
Julia For Data Analysis is a must-read for anyone who wants to learn how to use Julia for data science. It is suitable for beginners who want to get started with Julia, as well as for experienced data scientists who want to explore Julia's capabilities and features. The book is well-written, well-organized, and well-illustrated, making it a joy to read and learn from. I highly recommend this book to anyone who is interested in data analysis with Julia.
