Introduction to Python
From Fundamentals to Practical Coding with Python
Duration
3 Days
Level
Basic Level
Design and Tailor this course
As per your team needs
Overview
The Introduction to Python course is designed for professionals who already have experience with another programming language and want to quickly become productive using Python. The program focuses on Python syntax, core language features, modular programming, and practical application development.
Participants will gain hands-on experience in building Python applications, working with files, handling exceptions, and creating reusable modules.
Audience
- Software Engineers
- Data Scientists
- Developers transitioning to Python
Prerequisites
- Working familiarity with at least one programming language (e.g., Java, JavaScript, C/C++, PHP, Ruby)
- No prior Python experience required
Curriculum
- What is Python?
- Why use Python?
- Comparison with other programming languages
- Installing Python
- Python execution model (scripts vs interactive mode)
- Virtual environments (venv) and dependency isolation
- Package management using pip
- Conda vs Conda Forge vs Anaconda
- Introduction to Jupyter Notebooks
- Core syntax and code blocks
- Variables, scope, and dynamic typing
- Conditional statements (if, elif, else)
- Loops (for, while, range)
- Input and output handling
- Functions and return values
- Function design and arguments (*args, **kwargs)
- Docstrings and basic code readability guidelines
- Strings and string operations
- Lists, tuples, and sets
- Dictionaries and dictionary operations
- List, set, and dictionary comprehensions
- Slicing and mutability concepts
- Useful collections from collections module
- Scope and variable-lifetime considerations
- Exception concepts and common built-in exceptions
- try / except / else / finally blocks
- Raising and creating custom exceptions
- Best practices for error handling
- Logging fundamentals using the logging module
- Debugging common runtime issues
- File handling (read/write modes)
- File and directory management using pathlib
- Working with JSON and CSV files
- Command-line argument parsing using argparse
- Environment variables and configuration basics
- System and OS-level utilities
- Classes and objects
- Instance vs class variables
- Methods and constructors
- Inheritance and composition (overview)
- Data modeling with dataclasses
- Special (dunder) methods (__init__, __str__, __repr__)
- Packages and modules
- Creating custom modules
- Packaging modules for reuse
- Creating reusable custom modules
- Python project structure (src layout overview)
- __name__ == “__main__” pattern
Duration
3 Days
Level
Basic Level
Design and Tailor this course
As per your team needs
