Description
Book Synopsis: Master core data analysis skills using Julia. Interesting hands-on projects guide you through time series data, predictive models, popularity ranking, and more.In Julia for Data Analysis you will learn how to: Read and write data in various formats Work with tabular data, including subsetting, grouping, and transforming Visualize your data Build predictive models Create data processing pipelines Create web services sharing results of data analysis Write readable and efficient Julia programs 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 shows you how to take full advantage of this amazing language to read, write, transform, analyze, and visualize data—everything you need for an effective data pipeline. It's written by Bogumil Kaminski, one of the top contributors to Julia, #1 Julia answerer on StackOverflow, and a lead developer of Julia's core data package DataFrames.jl. Its engaging hands-on projects get you into the action quickly. Plus, you'll even be able to turn your new Julia skills to general purpose programming! Foreword by Viral Shah. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the technology Julia is a great language for data analysis. It's easy to learn, fast, and it works well for everything from one-off calculations to full-on data processing pipelines. Whether you're looking for a better way to crunch everyday business data or you're just starting your data science journey, learning Julia will give you a valuable skill.
About the book Julia for Data Analysis teaches you how to handle core data analysis tasks with the Julia programming language. You'll start by reviewing language fundamentals as you practice techniques for data transformation, visualizations, and more. Then, you'll master essential data analysis skills through engaging examples like examining currency exchange, interpreting time series data, and even exploring chess puzzles. Along the way, you'll learn to easily transfer existing data pipelines to Julia.
What's inside
- Read and write data in various formats
- Work with tabular data, including subsetting, grouping, and transforming
- Create data processing pipelines
- Create web services sharing results of data analysis
- Write readable and efficient Julia programs
About the reader For data scientists familiar with Python or R. No experience with Julia required.
About the author 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.
Table of Contents
1 Introduction
PART 1 ESSENTIAL JULIA SKILLS
2 Getting started with Julia
3 Julia's support for scaling projects
4 Working with collections in Julia
5 Advanced topics on handling collections
6 Working with strings
7 Handling time-series data and missing values
PART 2 TOOLBOX FOR DATA ANALYSIS
8 First steps with data frames
9 Getting data from a data frame
10 Creating data frame objects
11 Converting and grouping data frames
12 Mutating and transforming data frames
13 Advanced transformations of data frames
14 Creating web services for sharing data analysis results
Read more
Details
Want to master core data analysis skills? Look no further than Julia for Data Analysis. This book offers interesting hands-on projects that will guide you through time series data, predictive models, popularity ranking, and more. With Julia, you can easily read and write data in various formats, work with tabular data, and visualize your findings. Whether you're a seasoned data scientist or just starting out, Julia for Data Analysis will show you how to take full advantage of this amazing language for an effective data pipeline.
Why choose Julia for your data analysis needs? Well, Julia was specifically designed for the unique needs of data scientists. It's both expressive and easy-to-use, while also delivering lightning-fast code execution. In Julia for Data Analysis, you'll learn from one of the top contributors to Julia, Bogumil Kaminski. His engaging hands-on projects will get you into the action quickly, and you'll even have the opportunity to apply your newfound Julia skills to general purpose programming. Don't miss out on this valuable skill!
Ready to take your data analysis skills to the next level? Purchase Julia for Data Analysis today and receive a free eBook in PDF, Kindle, and ePub formats from Manning Publications. Whether you're handling everyday business data or embarking on a data science journey, Julia will be your go-to language. Don't wait, grab your copy now and start unlocking the full potential of Julia!
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