1. About the Course
- Author : Alexandru Ioan Cuza University
- Type : University Course Material
- Language : English
- License : Educational Use
2. Short Description
Python introduction course covering installation, basic types, operators, conditional structures and loops for programming beginners.
3. Long Description
This university course material provides a comprehensive introduction to the Python programming language, specifically designed for beginner computer science students. The document begins with a general presentation of Python as an interpreted and multi-paradigm programming language, highlighting its advantages in terms of readability and productivity.
The first section details the installation of Python on different operating systems and presents recommended development environments. Learners are guided through setting up their first Python script and using the interactive interpreter for quick code testing.
The course then covers Python's fundamental data types: integers (int), floating-point numbers (float), strings (str), and boolean values (bool). Special attention is given to basic operations on these types, including arithmetic operators, comparison operators, and logical operators.
Variables and their assignment are explained in detail, with concrete examples of declaration and modification of variables. The document also introduces the important concept of dynamic typing in Python and its implications for programmers.
A significant portion of the course is dedicated to control structures. Conditional statements if, elif, and else are presented with multiple examples illustrating their use in real-world scenarios. Comparison operators and their combination with logical operators (and, or, not) are explained for creating complex conditions.
The course then explores loops in Python, starting with the while loop and its applications for repetitive code execution. The for loop is presented as a tool to iterate over sequences, with practical usage examples. The concepts of break and continue are introduced to control execution flow within loops.
Practical exercises are integrated throughout the document to reinforce learning, allowing students to immediately apply theoretical concepts. The course also includes programming best practices and tips for writing readable and maintainable code.
In conclusion, this material provides a solid foundation in Python programming, preparing students to tackle more advanced concepts like functions, complex data structures, and object-oriented programming in subsequent courses of their university journey.
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