Python Fundamentals

Python Fundamentals

Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn’t specialized for any specific problems. This versatility, along with its beginner-friendliness, has made it one of the most-used programming languages today. Python is commonly used for developing websites and software, task automation, data analysis, and data visualization.

COURSES OVERVIEW

Python Fundamentals Module

Module 1: Introduction to Python

What is Python?
Setting up the Python environment (IDEs, text editors, and Python installations)
Writing and running your first Python program
Variables and data types
Comments and basic debugging

Module 2: Control Flow

Conditional statements (if, elif, else)
Loops (while and for loops)
Iterating through sequences (lists, tuples, and strings)
Using range() and the for loop to create loops
Control flow exercises and assignments

Module 3: Functions and Modules

Defining and calling functions
Function parameters and return values
Scope and lifetime of variables
Built-in Python functions and modules
Creating and using custom modules

Module 4: Data Structures

Lists: Creating, indexing, slicing, and modifying
Tuples: Creating, indexing, and immutability
Dictionaries: Creating, accessing, and modifying
Sets: Creating, adding, and removing elements
List comprehensions

Module 5: File Handling

Opening and closing files
Reading from and writing to files
Exception handling with try-except blocks
Working with CSV and JSON files

Module 6: Object-Oriented Programming (OOP)

Introduction to OOP
Classes and objects
Attributes and methods
Inheritance and polymorphism
Encapsulation and abstraction

Module 7: Error Handling and Debugging

Common types of errors (SyntaxError, TypeError, etc.)
Using try-except blocks for error handling
Debugging techniques and tools

Module 8: Introduction to Libraries and Frameworks

Overview of Python libraries (NumPy, pandas, Matplotlib, etc.)
Introduction to web frameworks (Django, Flask)
Exploring data science libraries (SciPy, scikit-learn)

Module 9: Final Project

Applying Python fundamentals to a small project
Building a simple application or script
Demonstrating skills learned throughout the course

Module 10: Course Conclusion and Next Steps

Recap of key concepts and skills learned
Resources for further learning
Career opportunities in Python programming

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