SuperseedeLearning

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