INTRODUCTION TO PROGRAMMING. Guides for Workshops and Labs

GUIDES FOR WORKSHOPS

This textbook is a comprehensive and invaluable resource for beginners in the field of programming, offering a structured and engaging approach to learning the fundamentals of computer science.
Through a series of workshops and lab exercises, learners are taken on a journey through the essential concepts of computer organization, programming languages, computational thinking, and the Python programming language.
What sets this textbook apart is its interactive and engaging approach to learning. From self-study questions to crossword games, coloring pictures, and puzzles. This book has incorporated various motivational tools to enhance the learning experience and facilitate knowledge retention.
Dive into this book and discover the world of programming with confidence and clarity. Happy coding!
MSc. eng. Ralitza Nikolaeva Raynova, PhD, is Assistant Professor in a Department of Information Technology in the Industry, Faculty of Computer Systems and Technologies, Technical University-Sofia, Bulgaria. With a profound dedication to education and an innovative approach to teaching. Dr. Raynova with her artistic nature and unrelenting enthusiasm, always tries to explain terms and concepts in a non-traditional way so that they can be understood and mastered by the learners.

Content:

INTRODUCTION
CONTENTS
PART I
COMPUTER
1·1 HARDWARE
1·2 SOFTWARE
APPLICATION SOFTWARE 
SYSTEM SOFTWARE 
?. REVIEW QUESTIONS
PROGRAMMING LANGUAGES
2·1 LOW-LEVEL PROGRAMMING LANGUAGE 
BINARY CODE 
HEXADECIMAL CODE 
2·2 HIGH-LEVEL PROGRAMMING LANGUAGE 
SOURCE CODE
COMPILER
INTERPRETER
SCRIPT versus PROGRAM
?. REVIEW QUESTIONS
COMPUTATIONAL THINKING
3·1 COMPUTER ALGORITHM 
THE BASIC CHARACTERISTICS OF ALGORITHMS 
ALGORITHM KEY PARTS 
3·2 FLOW OF CONTROL 
FLOW CONTROL CHARACTERISTICS 
3·3 PROGRAMMING PARADIGMS
STRUCTURED PROGRAMMING 
DATA DRIVEN AND DECLARATIVE PROGRAMMING 
OBJECT-ORIENTED PROGRAMMING (OOP)
AGENT-ORIENTED PARADIGMS
EVENT-DRIVEN PROGRAMMING 
CONCURRENT AND PARALLEL PROGRAMMING: 
?. REVIEW QUESTIONS 
GETTING STARTED WITH PYTHON
4·1 WHY PYTHON?
4·2 PYTHON HISTORY
4·3 THE BASIC ELEMENTS OF PYTHON 
OBJECTS, EXPRESSIONS, AND NUMERICAL TYPES
COMPARISION OPERATORS 
MATHEMATICAL OPERATORS
LOGICAL OPERATORS 
VARIABLES 
AUGMENTED MATHEMATICAL AND ASSIGNMENT OPERATORS
BITWISE OPERATIONS 
AUGMENTED BITWISE OPERATORS AND ASSIGNMENT OPERATORS 
COMMENTS 
4·4 INTEGRATED DEVELOPMENT ENVIRONMENT (IDE)
?. REVIEW QUESTIONS 
QUIZ PREPARATION.

PART II
PROGRAMMING LABS
PROGRAMMING
1·1 ALGORITHM REPRESENTATION 
1·2 FLOW CHARTS 
1·3 PSEUDOCODE 
?. REVIEW EXERCISE 
FUNDAMENTAL CONTROL STRUCTURES
2·1 SEQUENCE CONTROL STRUCTURE (part 1) 
■ USING BUILD IN PRINT() FUNCTION
■ USING BUILD IN INPUT() FUNCTION
?. REVIEW EXERCISE 
2·2 SEQUENCE CONTROL STRUCTURE (part 2)
■ USING STRINGS
?. REVIEW EXERCISE
2·3 DECISION CONTROL STRUCTURE
IF STATEMENT
IF-ELSE STATEMENT
NESTED IF-ELSE STRUCTURES
IF-ELIF-ELSE STATEMENT 
SHORT HAND IF-ELSE STATEMENT
?. REVIEW EXERCISE
2·4 LOOP CONTROL STRUCTURES (part 1)
WHILE-LOOP STRUCTURE
■ PYTHON COLLECTIONS DATA 
■ PYTHON BUILT-IN DATA STRUCTURES
■ USING LISTS
FOR-LOOP STRUCTURE
?. REVIEW EXERCISE
2·5 LOOP CONTROL STRUCTURES (part 2)
■ USING TUPLES
■ USING SETS
?. REVIEW EXERCISE
2·6 LOOP CONTROL STRUCTURES (part 3)
TIPS FOR BETTER LOOPS IN PYTHON
■ USING DICTIONARIES
■ PYTHON BUILT-IN DATA STRUCTURES RESUME
?. REVIEW EXERCISE 
2·7 FUNCTIONS 
FUNCTION DEFINITION
PYTHON GENERATORS
?. REVIEW EXERCISE
2·8 ORGANIZE PYTHON CODE
?. REVIEW EXERCISE 
2·9 PYTHON PROJECT STRUCTURE 
?. REVIEW EXERCISE
APPENDIX
REFERENCES