The Python Book
معرفی کتاب «The Python Book» نوشتهٔ Rob Mastrodomenico، منتشرشده توسط نشر Wiley & Sons در سال 2022. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است. «The Python Book» در دستهٔ بدون دستهبندی قرار دارد.
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.
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. "The Python Book looks to meet the needs of those who work with data but do not have experience of using Python. The aim of this book is to be able to teach somebody with no programming experience how to program in Python and be able to apply their skills to data analysis tasks. With Python being such a general purpose language, it is easy for any introductory text to concentrate on areas that are not useful to individuals who are really interested in data analysis. This book will be much more focused on what is important and why. This book looks to build the readers skills up at a slower pace with the focus on understanding why you do things the way you do. The aim at the end is not just for the reader to be able to do data analysis in Python but to understand why you would use a certain approach."-- Provided by publisher 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 1 Introduction 5 2 Equality and Comparison 15 3 Data Types 19 4 Dates 27 5 Lists 33 6 Tuples 45 7 Dictionaries 49 8 Loops, if, else and while 55 9 Assigning variables 71 10 Strings 77 11 Dealing with files 89 12 Functions and Classes 97 13 Numpy 117 14 Pandas 123 15 Advanced Pandas methods 151 16 Plotting 219