Effective Python

●本書可以幫你掌握真正的Pythonic編程方式，令你能夠完全發揮出Python語言的強大功能，並寫出健壯而高效的代碼。Scott Meyers在暢銷書Effective C++中開創了一種以使用場景為主導的精練教學方式，本書作者Brett Slatkin就以這種方式匯聚了90條實踐原則、開發技巧和便捷方案，並以實用的代碼範例來解釋它們。●Slatkin根據自己在Google公司多年開發Pytho

Fully-updated, second edition of this worldwide bestseller with over 100,000 copies sold. When it comes to creating powerful and effective hacking tools, Python is the language of choice for most secu

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.