A comprehensive Python beginners course aims to provide a solid foundation in programming with Python, covering fundamental concepts and practical applications. The course content typically includes the following key topics:
- Introduction to Python: Understanding the basics of Python, its history, and its role in various domains such as web development, data science, and automation.
- Python Installation and Setup: Learning how to install Python on different operating systems and setting up the development environment.
- Python Data Types and Variables: Understanding various data types in Python, such as integers, floats, strings, lists, tuples, and dictionaries, and learning how to declare variables.
- Python Operators and Expressions: Exploring different types of operators in Python, including arithmetic, comparison, and logical operators, and understanding expressions and their evaluations.
- Control Flow Statements: Learning about control flow statements such as if-else, for loops, while loops, and understanding how to control the flow of program execution.
- Functions and Modules: Understanding the concept of functions in Python, creating and using functions, and learning how to import and use modules in Python.
- Data Structures in Python: Exploring built-in data structures in Python, including lists, tuples, dictionaries, and sets, and understanding their operations and manipulations.
- File Handling: Learning how to read from and write to files using Python, understanding file modes, and performing file operations for data handling.
- Exception Handling: Understanding how to handle exceptions in Python, including try, except, else, and finally blocks, and implementing error handling mechanisms.
- Object-Oriented Programming (OOP) in Python: Introduction to OOP concepts in Python, including classes, objects, inheritance, polymorphism, and encapsulation.
- Python Libraries and Packages: Exploring popular Python libraries and packages for various applications, including NumPy, Pandas, Matplotlib, and requests.
- Introduction to Python Web Development: Understanding the basics of web development with Python, including frameworks like Flask and Django, and building simple web applications.
- Introduction to Data Science with Python: Introduction to data science concepts using Python, including data manipulation, analysis, and visualization using libraries like Pandas and Matplotlib.
- Basic Automation with Python: Understanding how to automate repetitive tasks using Python, including tasks such as file handling, data processing, and system operations.
- Basic Project Development: Applying the learned concepts by working on small projects and exercises to gain practical experience and reinforce the understanding of Python programming.
The course typically includes hands-on coding exercises, practical examples, and projects to provide participants with a comprehensive understanding of Python programming basics. It aims to equip individuals with the skills necessary to start their journey in software development and data science using the Python programming language.
Course Duration:
4 weeks (20 sessions)
What you’ll learn:
You will learn how to leverage the power of Python to solve tasks.
You will be able to use Python for your own work problems or personal projects.
Learn to use Python professionally, learning both Python 2 and Python 3.
Learn advanced Python features, like the collections module and how to work with timestamps.
Understand complex topics, like decorators.
Get an understanding of how to create GUIs in the Jupiter Notebook system.
You will build games and programs that use Python libraries.
You will create a portfolio of Python based projects you can share.
Create games with Python, like Tic Tac Toe and Blackjack.
Learn to use Object Oriented Programming with classes.
Understand how to use both the Jupiter Notebook and create .py files.
Build a complete understanding of Python from the ground up.
Who this course is for:
Beginners who have never programmed before.
Programmers switching languages to Python.
Intermediate Python programmers who want to level up their skills.