Python and Algorithmic Thinking for the Complete Beginner, 2nd Edition

Python and Algorithmic Thinking for the Complete Beginner, 2nd Edition

Book Description
Thoroughly revised for the latest version of Python, this book explains basic concepts in a clear and explicit way that takes very seriously one thing for granted—that the reader knows nothing about computer programming.
Addressed to anyone who has no prior programming knowledge or experience, but a desire to learn programming with Python, it teaches the first thing that every novice programmer needs to learn, which is Algorithmic Thinking. Αlgorithmic Thinking involves more than just learning code. It is a problem-solving process that involves learning how to code.
This edition contains all the popular features of the previous edition and adds a significant number of exercises, as well as extensive revisions and updates. Apart from Python’s lists, it now also covers dictionaries, while a brand new section provides an effective introduction to the next field that a programmer needs to work with, which is Object Oriented Programming (OOP).
This book has a class course structure with questions and exercises at the end of each chapter so you can test what you have learned right away and improve your comprehension. With 250 solved and 450 unsolved exercises, 475 true/false, about 150 multiple choice, and 200 review questions and crosswords (the solutions and the answers to which can be found on the Internet), this book is ideal for
  • novices or average programmers, for self-study
  • high school students
  • first-year college or university students
  • teachers
  • professors
  • anyone who wants to start learning or teaching computer programming using the proper conventions and techniques


Section 1 - Introductory Knowledge
Chapter 1. How a Computer Works
Chapter 2. Python
Chapter 3. Software Packages to Install

Section 2 - Getting Started with Python
Chapter 4. Introduction to Basic Algorithmic Concepts
Chapter 5. Variables and Constants
Chapter 6. Handling Input and Output
Chapter 7. Operators
Chapter 8. Trace Tables
Chapter 9. Using Eclipse

Section 3 - Sequence Control Structures
Chapter 10. Introduction to Sequence Control Structures
Chapter 11. Manipulating Numbers
Chapter 12. Complex Mathematical Expressions
Chapter 13. Exercises With a Quotient and a Remainder
Chapter 14. Manipulating Strings

Section 4 - Decision Control Structures
Chapter 15. Making Questions
Chapter 16. The Single-Alternative Decision Structure
Chapter 17. The Dual-Alternative Decision Structure
Chapter 18. The Multiple-Alternative Decision Structure
Chapter 19. Nested Decision Control Structures
Chapter 20. More about Flowcharts with Decision Control Structures
Chapter 21. Tips and Tricks with Decision Control Structures
Chapter 22. More Exercises with Decision Control Structures

Section 5 - Loop Control Structures
Chapter 23. Introduction to Loop Control Structures
Chapter 24. Pre-Test, Mid-Test and Post-Test Loop Structures
Chapter 25. The for statement
Chapter 26. Nested Loop Control Structures
Chapter 27. Tips and Tricks with Loop Control Structures
Chapter 28. Flowcharts with Loop Control Structures
Chapter 29. More Exercises with Loop Control Structures

Section 6 - Data Structures in Python
Chapter 30. One-Dimensional Lists and Dictionaries
Chapter 31. Two-Dimensional Lists
Chapter 32. Tips and Tricks with Lists
Chapter 33. More Exercises with Lists

Section 7 - Subprograms
Chapter 34. Introduction to Subprograms
Chapter 35. User-Defined Subprograms
Chapter 36. Tips and Tricks with Subprograms
Chapter 37. More Exercises with Subprograms

Section 8 - Object-Oriented Programming
Chapter 38. Introduction to Object-Oriented Programming

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