Python is a great choice for anyone looking to start programming, and this book, "Think Python: How to Think Like a Computer Scientist - Allen B Downey,” can be rather easy to master. The lessons will build on one another, starting with introductory concepts and gradually progressing to such topics as functions, data structures, or OOP design. This guide was printed even before the third edition, and the third edition of this guide has all new chapters on how to use large language models, or LLMs for short, for programming and how to write prompts, how to get feedback, and how to debug using LLRs and how to do exercises using LLRs.
The book, "Think Python: How to Think Like a Computer Scientist - Allen B Downey,” has a lot of practical exercises and clear explanations of Python’s grammar and the distinguishing features of the language. These programming topics hold significant meanings, expressed in plain language, that does not leave room for misunderstandings. Here, you will find information on variable manipulation, statements or functions writing, and working with data structures with the help of logical techniques. Furthermore, you’ll know how to read and write files and work with databases with an understanding of objects and methods when it comes to object-oriented languages.
Think Python: How to Think Like a Computer Scientist - Allen B Downey explains debugging methods to address syntax, runtime, and semantic issues. More advanced tasks, such as recursion, the design of the interface, and the design of basic algorithms, will be introduced. Moreover, in the framework of the new concentration on LLMs, you will get to understand how to leverage such tools in your programming work effectively so you can incorporate the beneficial tools to pump up your coding work and ensure it is as easy as possible for you. Whether you are just making your first steps in programming or you’ve decided to enhance your existing knowledge and skills, this book can help you do this in a rather comfortable and, most importantly, interesting way.
Think Python: How to Think Like a Computer Scientist - Allen B Downey Table of Contents:
- Programming as a Way of Thinking
- Variables and Statements
- Functions
- Functions and Interfaces
- Conditionals and Recursion
- Return Values
- Iteration and Search
- Strings and Regular Expressions
- Lists
- Dictionaries
- Tuples
- Text Analysis and Generation
- Files and Databases
- Classes and Functions
- Classes and Methods
- Classes and Objects
- Inheritance
- Python Extras
- Final Thoughts
Who is this course for?
- Intermediates just entering the field of computer science with Python
- Individuals interested in engineering or information technology, especially those in computer science
- Leaders striving to boost their methods of programming among their human capital
Click on the links below to Download Think Python: How to Think Like a Computer Scientist - Allen B Downey!
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