Discover the power of one of the fastest growing programming languages in the world with this insightful new resource. The Python Book delivers an essential introductory guide to learning Python for anyone who works with data but does not have experience in programming. The author, an experienced data scientist and Python programmer, shows readers how to use Python for data analysis, exploration, cleaning, and wrangling. Readers will learn what in the Python language is important for data analysis, and why. The Python Book offers readers a thorough and comprehensive introduction to Python that is both simple enough to be ideal for a novice programmer, yet robust to be useful for those more experienced in the language. The book assists budding programmers to gradually increase their skills as they move through the book, always with an understanding of what they are covering and why it is useful. Used by major companies like Google, Facebook, Instagram, Spotify, and more, Python promises to remain central to the programming landscape for years to come. Containing a thorough discussion of Python programming topics like variables, equalities and comparisons, tuple and dictionary data types, while and for loops, and if statements, readers will also learn:
• How to use highly useful Python programming libraries, including Pandas and Matplotlib
• How to write Python functions and classes
• How to write and use Python scripts
• To deal with different data types within Python
Perfect for statisticians, computer scientists, software programmers, and practitioners working in private industry and medicine, The Python Book will also be of interest to students in any of the aforementioned fields. As it assumes no programming experience or knowledge, the book is ideal for those who work with data and want to learn to use Python to enhance their work.
Author(s): Rob Mastrodomenico
Edition: 1
Publisher: John Wiley & Sons
Year: 2022
Language: English
Commentary: TruePDF | Cover | TOC | 275 pages
Pages: 275
Tags: Python: Computer Program Language
Cover
Title Page
Copyright
Contents
Chapter 1 Introduction
Chapter 2 Getting Started
Chapter 3 Packages and Builtin Functions
Chapter 4 Data Types
Chapter 5 Operators
Chapter 6 Dates
Chapter 7 Lists
Chapter 8 Tuples
Chapter 9 Dictionaries
Chapter 10 Sets
Chapter 11 Loops, if, Else, and While
Chapter 12 Strings
Chapter 13 Regular Expressions
Chapter 14 Dealing with Files
14.1 Excel
14.2 JSON
14.3 XML
Chapter 15 Functions and Classes
Chapter 16 Pandas
16.1 Numpy Arrays
16.2 Series
16.3 DataFrames
16.4 Merge, Join, and Concatenation
16.5 DataFrame Methods
16.6 Missing Data
16.7 Grouping
16.8 Reading in Files with Pandas
Chapter 17 Plotting
17.1 Pandas
17.2 Matplotlib
17.3 Seaborn
Chapter 18 APIs in Python
Chapter 19 Web Scraping in Python
19.1 An Introduction to HTML
19.2 Web Scraping
Chapter 20 Conclusion
Index
EULA