The Python Book

The Python Book

Rob Mastrodomenico
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NZ$ 95.99
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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 experienced data scientist, Python programmer, and author 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 and remain focused on those skills. 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. The Python Book offers readers a thorough and comprehensive introduction to a language that is both simple enough to be ideal for a novice programmer, yet robust enough to be useful for those more experienced in the language. Used by major companies like Google, Facebook, Instagram, Spotify, and more, Python promises to remain central to the programming landscape for years to come. Readers will also learn from: A thorough discussion of Python programming topics like variables, equalities and comparisons, tuple and dictionary data types, while and for loops, and if statements An exploration of highly useful Python programming libraries, including Pandas and Matplotlib An analysis of how to write Python functions, and classes A treatment of Python scripts and how to write and use them An exploration of dealing 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. Because it assumes no programming experience or knowledge, the book is ideal for those who work with data but lack ability with Python.
Rob Mastrodomenico, PhD, is a quant/statistician/data scientist with a focus on modelling sports. He received his doctorate in Applied Statistics. He has practical experience with languages like Python, R, Java, and C++, as well as database experience with MySQL and SQL Server. He has taught his Introduction to Python course numerous times at the Royal Statistical Society.