Название: Python Data ScienceАвтор: Chaolemen Borjigin
Издательство: Springer/Publishing House of Electronics Industry
Год: 2023
Страниц: 353
Язык: английский
Формат: pdf (true)
Размер: 27.9 MB
Rather than presenting Python as Java or C, this textbook focuses on the essential Python programming skills for data scientists and advanced methods for big data analysts.
Unlike conventional textbooks, it is based on Markdown and uses full-color printing and a code-centric approach to highlight the 3C principles in data science: creative design of data solutions, curiosity about the data lifecycle, and critical thinking regarding data insights. Q&A-based knowledge maps, tips and suggestions, notes, as well as warnings and cautions are employed to explain the key points, difficulties, and common mistakes in Python programming for Data Science. In addition, it includes suggestions for further reading.
Python is a general-purpose language so that it can be used for a wide range of applications, such as Data Science, computer science, software engineering, mathematics, life science, linguistics, and journalism. However, learning Python programming for data science requires its unique specific knowledge tailored to its use in that field. This chapter will introduce the basics of python syntax for data science, including:
- Data types (Lists, Tuples, Strings, Sequences, Sets, Dictionaries)
- Variables
- Operators and expressions
- Statements (assignments, comments, if statements, for statements, and while statements)
- Functions (built-in functions, module functions, user-defined functions, and lambda functions)
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