Python Foundation
Course Overview
The Python Foundation course provides beginners with a comprehensive introduction to Python programming. This course covers essential topics such as Python syntax, data types, control structures, functions, and modules. Through a mix of theory and hands-on labs, students will gain the skills needed to write and understand basic Python programs effectively. This course lays the groundwork for more advanced Python topics such as multithreading, asynchronous programming, and advanced data structures.
Who is this course for
This course is ideal for anyone interested in learning Python, including aspiring developers, data scientists, IT professionals, and hobbyists.
Key Benefits
- Comprehensive introduction to Python programming
- Understanding the core syntax and semantics of Python
- Skills to write and debug basic Python programs
- Hands-on experience with real-world Python tasks
- Greater career prospects with foundational Python skills
Learning Objectives
By the end of this course, you'll be able to:
- Understand the basic syntax and semantics of Python
- Work with different data types and data structures in Python
- Write and use functions and modules
- Implement control structures like loops and conditionals
- Handle exceptions and perform file I/O operations
Format
- Duration: 2 days
- Format: In-person or Remote, Instructor-led training (ILT)
- Course Difficulty: Basic
- Experience Level: Junior
- Hands-on Labs: Cloud based
Prerequisites
- No prior programming experience is required.
Course contents
Day 1: Python Basics
Module 1: Introduction to Python
Iliyan Petkov2024-07-20T12:52:30+00:00- History and evolution of Python
- Installing Python and setting up the environment
- Introduction to Python REPL and IDEs (ipython, PyCharm, VSCode)
- Writing and running your first Python program
Module 2: Basic Syntax and Data Types
Iliyan Petkov2024-07-20T12:43:52+00:00- Understanding Python syntax and indentation
- Variables and data types (int, float, str, bool, etc.)
- Basic operations with numbers and strings
- Working with Python’s dynamic typing
Module 3: Control Flow
Iliyan Petkov2024-07-20T12:43:58+00:00- Understanding and using conditional statements (`if`, `elif`, `else`)
- Implementing loops (`for`, `while`) for iterative operations
- Utilizing loop control statements (break, continue, pass)
- Nested control structures and their applications
Module 4: Functions and Modules
Iliyan Petkov2024-07-20T12:44:03+00:00- Defining and calling functions
- Function arguments and return values
- Scope and lifetime of variables
- Importing and using modules
Day 2: Working with Data Structures
Module 5: Lists, Tuples, Dictionaries, and Sets
Iliyan Petkov2024-07-20T12:41:41+00:00- Creating and accessing lists and dictionaries
- List and dictionary methods and operations
- Understanding tuples and sets and their uses
- Dictionary and set methods and operations
Module 6: Strings and String Operations
Iliyan Petkov2024-07-20T12:40:38+00:00- String manipulation and methods
- String methods and operations
- Formatting strings
- Regular expressions in Python
Module 7: File I/O
Iliyan Petkov2024-07-20T12:40:53+00:00- Reading from and writing to files
- Working with file modes
- Handling file exceptions
- Using context managers for file operations
Module 8: Exploring Python Libraries
Iliyan Petkov2024-07-20T12:40:43+00:00- Introduction to the Standard Library (e.g., `os`, `sys`, `math`, `datetime`)
- Working with JSON: reading, writing, and parsing JSON data
- Date and time handling with the `datetime` module
- Command-line argument parsing with the `argparse` module
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