朱利亚语言用于数据分析[Audiobook]
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 Bogumił Kamiński, 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!
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
使用Julia掌握核心数据分析技能。有趣的动手项目指导你通过时间序列数据、预测模型、流行度排名等内容。 在《Julia数据分析》中，你会学习如何 - 读写各种格式的数据 - 处理表格数据，包括子集提取、分组和转换操作 - 绘制你的数据图表 - 建立预测模型 - 创建数据处理管道 - 创建共享数据分析结果的网络服务 - 编写可读且高效的Julia程序 Julia为数据科学家设计：既具有表达性和易于使用的特点，同时也保证了代码执行的超高速度。《Julia数据分析》展示了如何充分利用这个神奇的语言来读取、编写、转换、分析和可视化数据——这是建立有效数据分析管道所需的全部内容。该书由Bogumił Kamiński撰写，他是Julia的主要贡献者之一，StackOverflow上排名第一的Julia问题解答者，以及DataFrames.jl核心数据包的领导开发人员。其有趣的动手项目帮助你快速进入主题。此外，你还能将新掌握的Julia技能应用于通用编程！ 关于技术 Julia是一款优秀的数据分析语言。易于学习、速度快且适用于从一次性计算到完整的数据处理管道的所有任务。无论是为了更好地处理日常业务数据还是刚刚踏上数据科学之旅，学习Julia都将为你提供一项宝贵的技能。 关于本书 《Julia数据分析》教你如何使用Julia编程语言来处理核心的数据分析任务。你会先复习语言基础，并通过实践数据转换、可视化等技术来掌握这些技巧。然后通过有趣的示例（如货币兑换的检查、时间序列数据分析、甚至象棋谜题探索）掌握基本的数据分析技能。同时，你还将学习如何轻松地将现有的数据管道迁移到Julia。 本书内容包括 - 读写各种格式的数据 - 处理表格数据，包括子集提取、分组和转换操作 - 创建数据处理管道 - 创建共享数据分析结果的网络服务 - 编写可读且高效的Julia程序
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