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Item #:
141500289
Julia for Data Analysis
77% of respondents would recommend this to a friend
Item #:
141500289
SAR 279
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Master core data analysis skills using Julia with hands-on projects that teach you how to visualize, analyze, and model your data efficiently.
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What Stands Out
High Performance
Julia offers exceptional speed, making it ideal for complex data analysis and heavy computations, outperforming Python and R in many benchmarks, enabling faster insights and decision-making.
Easy Integration
Seamlessly integrates with other languages, like C and Python, allowing users to leverage existing codebases and libraries, thus maximizing efficiency without sacrificing performance in data tasks.
Rich Libraries
Supports a wide range of libraries specifically designed for data analysis and visualization, providing users with powerful tools to manipulate data and gain insights effectively and efficiently.
Product Details
- 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 formatsWork with tabular data, including subsetting, grouping, and transformingVisualise your data using plotsPerform statistical analysisBuild predictive modelsCreate complex data processing pipelinesJulia 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 Bogumił 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.About the technologyJulia 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 readerFor data scientists familiar with Python or R. No experience with Julia required.
| Publisher | Manning Publications |
| Publication date | 3 Jan. 2023 |
| Edition | 1st |
| Language | English |
| Print length | 426 pages |
| ISBN-10 | 1633439364 |
| ISBN-13 | 978-1633439368 |
| Item weight | 794 g |
| Dimensions | 18.73 x 2.79 x 23.5 cm |
Who Should Buy?
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Data Scientists
Ideal for data scientists who need to perform high-performance analyses and work with large datasets efficiently.
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Statisticians
Suitably designed for statisticians wanting to leverage Julia's capabilities for statistical modeling and hypothesis testing.
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Machine Learning Engineers
Great for machine learning engineers looking to implement algorithms and leverage Julia's speed for predictive analytics.
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Beginners in Programming
Not suitable for absolute beginners due to its advanced syntax and concepts that can be overwhelming initially.
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Data Mining Editorial Review
Julia For Data Analysis, published by Manning Publications on January 3, 2023, is a comprehensive guide tailored for data enthusiasts looking to harness the capabilities of the Julia programming language. This first edition spans 426 pages, offering insights into data manipulation, statistical analysis, and visualization techniques essential for effective data-driven decision making. As highlighted in reader feedback, the book effectively breaks down complex topics, making it accessible to both beginners and seasoned programmers. However, some users noted that it assumes a certain level of familiarity with programming, which may require additional resources for complete beginners to fully grasp the concepts presented.
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Pros
- In-depth coverage of Julia for data analysis
- Well-structured for both beginners and advanced users
- Comprehensive examples that enhance learning
- Clear explanations of statistical methods
- Practical application-focused content
Cons
- Assumes some prior programming knowledge
Product Price History
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Features & Benefits
- Learn to read and write data in various formats.
- Work effectively with tabular data: subsetting, grouping, and transforming.
- Visualize your data with engaging plots and statistical analysis.
- Build powerful predictive models and complex data processing pipelines.
- Develop production-quality code in Julia, tailored for data science.
- Ideal for data scientists familiar with Python or R, no prior Julia experience needed.
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