Python is a popular general-purpose programming language. It is used in machine learning, web development, desktop applications, and many other fields. Fortunately for beginners, Python has a simple, easy-to-use syntax. This makes Python a great language to learn for beginners.
Our Python tutorials will cover all the fundamental concepts of Python. And by the end, you will be comfortable creating projects in Python.
Module 1: Introduction to Python
1.1 Overview of Python
- History and evolution
- Popularity and use cases
1.2 Installing Python
- Setting up the development environment (e.g., Anaconda, virtual environments)
1.3 Running Python Scripts
- Using the Python interpreter
- Executing Python scripts
Module 2: Basic Python Syntax
2.1 Variables and Data Types
- Numeric types (int, float)
- Strings and string manipulation
- Boolean type
2.2 Operators and Expressions
- Arithmetic, comparison, and logical operators
- Expressions and their evaluation
2.3 Control Flow
- Conditional statements (if, elif, else)
- Loops (for, while)
- Break and continue statements
Module 3: Data Structures
3.1 Lists
- Creating and manipulating lists
- List comprehensions
3.2 Tuples
- Understanding tuples
- Tuple operations
3.3 Dictionaries
- Introduction to dictionaries
- Operations on dictionaries
3.4 Sets
- Understanding sets
- Set operations
Module 4: Functions
4.1 Defining Functions
- Function syntax
- Parameters and return values
4.2 Scope and Lifetime of Variables
- Global and local scope
- Lifetime of variables
4.3 Lambda Functions
- Creating anonymous functions
- Use cases for lambda functions
Module 5: File Handling
5.1 Reading and Writing Files
- Opening and closing files
- Reading and writing text files
- Working with different file formats (JSON, CSV)
Module 6: Object-Oriented Programming (OOP)
6.1 Introduction to OOP
- Classes and objects
- Inheritance, encapsulation, and polymorphism
6.2 Creating Classes and Objects
- Class definition and instantiation
- Attributes and methods
6.3 Advanced OOP Concepts
- Decorators
- Magic methods
Module 7: Error Handling
7.1 Understanding Exceptions
- Types of exceptions
- Handling exceptions using try-except
7.2 Raising Exceptions
- Creating custom exceptions
- Exception chaining
Module 8: Iterators and Generators
8.1 Iterators
- Iterable and iterator protocols
- Iterating over custom objects
8.2 Generators
- Creating and using generators
- Benefits of generators
Module 9: Decorators and Context Managers
9.1 Decorators
- Function decorators
- Class decorators
9.2 Context Managers
- Using the
withstatement - Creating custom context managers
Module 10: Unit Testing
10.1 Introduction to Testing - Importance of testing - Types of testing
10.2 Writing and Running Tests - Using the unittest module - Test cases and test suites
Module 11: Advanced Topics
11.1 Working with Dates and Times - Using the datetime module
11.2 Regular Expressions - Pattern matching with regular expressions
11.3 Threading and Multiprocessing - Concurrent programming in Python
Module 12: External Libraries and Frameworks (Overview)
12.1 Introduction to Popular Libraries - NumPy, Pandas, Matplotlib, requests, etc.
12.2 Introduction to Web Frameworks - Flask, Django
Module 13: Final Project
13.1 Applying Concepts - Building a small application - Integrating various concepts learned throughout the course
This comprehensive outline covers a broad range of Python topics and allows participants to gain a solid understanding of the language. Adjustments can be made based on the participants' prior knowledge and the specific goals of the training program.
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