Book Description:
Create good data from the start, rather than fixing it after it is collected. By following the guidelines in this book, you will be able to conduct more effective analyses and produce timely presentations of research data.
Data analysts are often presented with datasets for exploration and study that are poorly designed, leading to difficulties in interpretation and to delays in producing meaningful results. Much data analytics training focuses on how to...
内容简介：本书由Python pandas项目创始人Wes McKinney亲笔撰写，详细介绍利用Python进行操作、处理、清洗和规整数据等方面的具体细节和基本要点。第2版针对Python 3.6进行全面修订和更新，涵盖新版的pandas、NumPy、IPython和Jupyter，并增加大量实际案例，可以帮助你高效解决一系列数据分析问题。
第2版中的主要更新包括：
• 所有的代码，包括把Python的教程更新到了Python 3.6版本(第1版中使用的是Python 2.7)
• 更新了Python第三方发布版Anaconda和其他所需Python包的安装指引
• 更新pandas库到2017年的...
Book Description:
F# brings the power of functional-first programming to the .NET Framework, a platform for developing software in the Microsoft Windows ecosystem. If you’re a traditional .NET developer used to C# and Visual Basic, discovering F# will be a revelation that will change how you code, and how you think about coding.
In The Book of F#, Microsoft MVP Dave Fancher shares his expertise and teaches you how to wield the power of F# to write succinct, reliable, and ...
内容简介：本书以类似“章回小说”的活泼形式，生动地向读者展现优秀的数据分析人员应知应会的技术：数据分析基本步骤、实验方法、最优化方法、假设检验方法、贝叶斯统计方法、主观概率法、启发法、直方图法、回归法、误差处理、相关数据库、数据整理技巧；正文以后，意犹未尽地以三篇附录介绍数据分析十大要务、R工具及ToolPak工具，在充分展现目标知识以外，为读者搭建了走向深入研究的桥梁。
本书构思跌宕起伏，行文妙趣横生，无论是职场老手，还是业界新人，无论是字斟句酌，还是信手翻阅，相信都能跟着文...
Book Description:
Apply the basics of security in serverless computing to new or existing projects. This hands-on guide provides practical examples and fundamentals. You will apply these fundamentals in all aspects of serverless computing: improving the code, securing the application, and protecting the infrastructure. You will come away having security knowledge that enables you to secure a project you are supporting and have technical conversations with cybersecurity pe...
Book Description:
Gain a thorough understanding of supervised learning algorithms by developing use cases with Python. You will study supervised learning concepts, Python code, datasets, best practices, resolution of common issues and pitfalls, and practical knowledge of implementing algorithms for structured as well as text and images datasets.
You’ll start with an introduction to machine learning, highlighting the differences between supervised, semi-supervised and unsu...
Book Description:
Become a self-sufficient citizen developer by learning the tools within the Microsoft Power Platform and how they can be used together to drive change and multiply your productivity. Learn about PowerApps for building applications, Power Automate for automating business processes across those applications, and Power BI for analyzing results and communicating business intelligence through compelling visuals. By understanding the purpose and capabilities o...
Book Description:You know how to write code that works, but what about code that’s well written and easy to understand? And robust and bug-free? If other programmers looked at your handiwork, would they be able to figure out the code’s logic and purpose? Exceptional programmers have more than just technical know-how; they adopt the right approach and attitude to development.Code Craft will help take your programming beyond writing correct code to writing gre...
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