Have a personal or library account? Click to login
Python and Algorithmic Thinking for the Complete Beginner Cover

Python and Algorithmic Thinking for the Complete Beginner

Learn to think like a programmer by mastering Python programming and algorithmic foundations

Publisher:Packt Publishing Limited
By:
Paid access
|Jun 2024

Unlock the power of Python with this comprehensive guide, “Python and Algorithmic Thinking for the Complete Beginner.” It covers everything from computer basics to advanced decision and loop control structures.

Key Features

  • Comprehensive coverage from basic computer operations to advanced programming concepts
  • Step-by-step progression of each topic, along with tips and tricks to enhance coding efficiency
  • In-depth exploration of Python and algorithmic thinking with exercises and practical examples

Book Description

This course is meticulously designed to take beginners on a journey through the fascinating world of Python programming and algorithmic thinking. The initial chapters lay a strong foundation, starting with the basics of how computers operate, moving into Python programming, and familiarizing learners with integrated development environments like IDLE and Visual Studio Code.

Further, the course delves into essential programming constructs such as variables, constants, input/output handling, and operators. You'll gain practical experience with trace tables, sequence control structures, and decision control structures through comprehensive exercises and examples. The curriculum emphasizes hands-on learning with chapters dedicated to manipulating numbers, strings, and understanding complex mathematical expressions. By mastering these concepts, you'll be well-prepared to tackle more advanced topics.

The final chapters introduce you to object-oriented programming and file manipulation, rounding out your skill set. Throughout the course, practical tips and tricks are provided to enhance your coding efficiency and problem-solving skills. By the end of this course, you will have a robust understanding of Python programming and the ability to apply algorithmic thinking to solve real-world problems.

What you will learn

  • Understand how computers work and the basics of Python programming
  • Install and use integrated development environments (IDEs)
  • Develop skills in decision and loop control structures
  • Manipulate data using lists, dictionaries, and strings
  • Apply algorithmic thinking to solve complex problems
  • Gain proficiency in object-oriented programming & file manipulation

Who this book is for

This course is ideal for absolute beginners with no prior programming experience. Basic computer literacy is required, but no specific knowledge of programming or algorithms is necessary. It is also suitable for individuals looking to refresh their Python skills and enhance their understanding of algorithmic thinking. High school and college students interested in programming, professionals seeking to upskill, and hobbyists eager to learn a new programming language will all find value in this course.

Table of Contents

  1. How a Computer Works
  2. Python and Integrated Development Environments
  3. Software Packages to Install
  4. Introduction to Basic Algorithmic Concepts
  5. Variables and Constants
  6. Handling Input and Output
  7. Operators
  8. Trace Tables
  9. Using IDLE or Visual Studio Code
  10. Introduction to Sequence Control Structures
  11. Manipulating Numbers
  12. Complex Mathematical Expressions
  13. Exercises With a Quotient and a Remainder
  14. Manipulating Strings
  15. Making Questions
  16. The Single-Alternative Decision Structure
  17. The Dual-Alternative Decision Structure
  18. The Multiple-Alternative Decision Structure
  19. Nested Decision Control Structures
  20. More about Flowcharts with Decision Control Structures
  21. Tips and Tricks with Decision Control Structures
  22. More with Decision Control Structures
  23. Introduction to Loop Control Structures
  24. Pre-Test, Mid-Test and Post-Test Loop Structures
  25. Definite Loops
  26. Nested Loop Control Structures
  27. More about Flowcharts with Loop Control Structures
  28. Tips and Tricks with Loop Control Structures
  29. More with Loop Control Structures
  30. One-Dimensional Lists and Dictionaries
  31. Two-Dimensional Lists
  32. Tips and Tricks with Data Structures
  33. More with Data Structures
  34. Introduction to Subprograms
  35. User-Defined Subprograms
  36. Tips and Tricks with Subprograms
  37. More with Subprograms
  38. Introduction to Object-Oriented Programming
  39. Introduction to Files
  40. More with Files
PDF ISBN: 978-1-83620-926-3
Publisher: Packt Publishing Limited
Copyright owner: © 2024 Packt Publishing Limited
Publication date: 2024
Language: English
Pages: 908
Related subjects:
Computer sciences,
Computer sciences, other

People also read