Authors | Allen Downey, Jeffrey Elkner, Chris Meyers |
Publisher | Green Tea Press |
Published | 2002 |
Edition | 1 |
Paperback | 280 pages |
Language | English |
ISBN-13 | 9780971677500 |
ISBN-10 | 0971677506 |
License | GNU Free Documentation License |
How to Think Like a Computer Scientist: Learning with Python - is an introduction to computer science using the Python programming language. It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structures.
This book is available under the GNU Free Documentation License, which means that you are free to copy, redistribute, and modify it, as long as you preserve all original copyright notices, provide transparent access to the source, and release any modified versions under the same license.
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The title of this book was originally Think Perl 6, but since Perl 6 has been renamed Raku, we have also changed the title of the book. Want to learn how to program and think like a computer scientist? This practical guide gets you started on your programming journey with the help of Raku (Perl 6), the younger sister of the popular Perl programming
How to Think Like a Computer Scientist is an introductory programming book based on the OCaml language. It is a modified version of Think Python by Allen Downey. It is intended for newcomers to programming and also those who know some programming but want to learn programming in the function-oriented paradigm, or those who simply want to learn OCam
If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for
Add buttons, boxes, pictures and colours and more to your Python programs using the guizero library, which is quick, accessible, and understandable for all. This 156-page book is suitable for everyone, from beginners to experienced Python programmers who want to explore graphical user interfaces (GUIs). There are ten fun projects for you to create,
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