Python Programming Fundamentals
Learn Python from scratch for data analysis, web development, and automation.
Duration
8 Weeks
Level
Beginner
About this Course
This course is perfect for beginners and those looking to solidify their Python skills. You'll learn core programming concepts, data structures, object-oriented programming, and practical applications in data analysis, web development, and automation.
What You'll Learn
- Write clean, efficient, and readable Python code.
- Understand and utilize Python's core data structures.
- Implement functions and apply OOP principles.
- Perform file operations and handle errors effectively.
- Use popular Python libraries for data analysis and web interactions.
- Build small, practical Python applications.
Course Modules
Module 1: Python Basics
- Introduction to Python and its environment setup
- Variables, Data Types (Integers, Floats, Strings, Booleans)
- Operators (Arithmetic, Comparison, Logical)
- Input and Output functions
- Basic control flow (if-else, elif)
Module 2: Data Structures
- Lists: creation, manipulation, methods
- Tuples: immutable sequences
- Dictionaries: key-value pairs
- Sets: unique elements
- Looping through data structures (for, while loops)
Module 3: Functions and Modules
- Defining and calling functions
- Function arguments (positional, keyword, default)
- Return values
- Scope of variables (Local vs. Global)
- Importing and using modules
Module 4: Object-Oriented Programming (OOP)
- Concepts of OOP (Classes, Objects, Encapsulation)
- Creating classes and objects
- Methods and attributes
- Inheritance and Polymorphism (basic concepts)
Module 5: File Handling & Error Handling
- Reading from and writing to files
- Working with different file formats (CSV, JSON)
- Exception handling (try-except blocks)
- Common errors and debugging techniques
Module 6: Introduction to Libraries for Data & Web
- NumPy for numerical operations
- Pandas for data analysis (DataFrames)
- Introduction to web frameworks (e.g., Flask/Django basics)
- Making HTTP requests (requests library)
Module 7: Practical Applications & Project
- Automating simple tasks (e.g., file organization)
- Web scraping basics
- Building a simple command-line application
- Final Project: Apply learned concepts to a small project.
Course Overview
Prerequisites
- No prior programming experience required.
Target Audience
- Absolute beginners to programming
- Individuals looking to learn Python for data science, web development, or automation
- Students and professionals seeking a versatile programming skill
Technologies Covered
PythonVS CodeJupyter Notebooks