{"product_id":"julia-for-data-analysis-9781633439368","title":"Julia for Data Analysis","description":"\u003cb\u003eMaster core data analysis skills using Julia. Interesting hands-on projects guide you through time series data, predictive models, popularity ranking, and more.\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eIn \u003ci\u003eJulia for Data Analysis\u003c\/i\u003e you will learn how to: \u003cp\u003e\u003c\/p\u003e Read and write data in various formats\u003cbr\u003e Work with tabular data, including subsetting, grouping, and transforming\u003cbr\u003e Visualize your data\u003cbr\u003e Build predictive models\u003cbr\u003e Create data processing pipelines\u003cbr\u003e Create web services sharing results of data analysis\u003cbr\u003e Write readable and efficient Julia programs \u003cp\u003e\u003c\/p\u003e Julia was designed for the unique needs of data scientists: it's expressive and easy-to-use whilst also delivering super-fast code execution. \u003ci\u003eJulia for Data Analysis\u003c\/i\u003e 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! \u003cp\u003e\u003c\/p\u003e Foreword by Viral Shah. \u003cp\u003e\u003c\/p\u003e Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. \u003cp\u003e\u003c\/p\u003e About the technology\u003cbr\u003e 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. \u003cp\u003e\u003c\/p\u003e About the book\u003cbr\u003e \u003ci\u003eJulia for Data Analysis\u003c\/i\u003e 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.\u003cbr\u003e What's inside \u003cp\u003e\u003c\/p\u003e Read and write data in various formats\u003cbr\u003e Work with tabular data, including subsetting, grouping, and transforming\u003cbr\u003e Create data processing pipelines\u003cbr\u003e Create web services sharing results of data analysis\u003cbr\u003e Write readable and efficient Julia programs \u003cp\u003e\u003c\/p\u003eAbout the reader\u003cbr\u003e For data scientists familiar with Python or R. No experience with Julia required. \u003cp\u003e\u003c\/p\u003e About the author\u003cbr\u003e \u003cb\u003eBogumil Kaminski\u003c\/b\u003e iis 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. \u003cp\u003e\u003c\/p\u003eTable of Contents\u003cbr\u003e 1 Introduction\u003cbr\u003e PART 1 ESSENTIAL JULIA SKILLS\u003cbr\u003e 2 Getting started with Julia\u003cbr\u003e 3 Julia's support for scaling projects\u003cbr\u003e 4 Working with collections in Julia\u003cbr\u003e 5 Advanced topics on handling collections\u003cbr\u003e 6 Working with strings\u003cbr\u003e 7 Handling time-series data and missing values\u003cbr\u003e PART 2 TOOLBOX FOR DATA ANALYSIS\u003cbr\u003e 8 First steps with data frames\u003cbr\u003e 9 Getting data from a data frame\u003cbr\u003e 10 Creating data frame objects\u003cbr\u003e 11 Converting and grouping data frames\u003cbr\u003e 12 Mutating and transforming data frames\u003cbr\u003e 13 Advanced transformations of data frames\u003cbr\u003e 14 Creating web services for sharing data analysis results\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eBogumil Kamiński\u003c\/strong\u003e 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.\u003c\/p\u003e\u003cbr\u003e","brand":"Manning Publications","offers":[{"title":"Default Title","offer_id":50453214888210,"sku":"9781633439368","price":55.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_49ac3f57-0868-4637-98c4-58e460a5ff3f.jpg?v=1729839423","url":"https:\/\/surprise-castle.myshopify.com\/products\/julia-for-data-analysis-9781633439368","provider":"Surprise Castle","version":"1.0","type":"link"}