The Python Book

Description

The Python Book 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. 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