Python Core Logic

Learn programming through Python's clear, readable syntax. Master fundamental concepts, data structures, and problem-solving strategies. Build logical thinking skills before diving into specialized libraries and frameworks.

8-10 weeks Beginner Logic-focused
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Python Programming Course

What You'll Learn

Python Fundamentals

Variables, data types, operators, control flow, functions, and Python's clean syntax that makes it ideal for learning programming concepts.

Data Structures

Lists, tuples, dictionaries, sets—understanding when to use each, how they work internally, and writing efficient code.

Algorithmic Thinking

Breaking problems down, designing solutions step by step, understanding time and space complexity at a conceptual level.

Debugging Skills

Reading error messages, using print debugging, understanding stack traces, and developing systematic approaches to finding bugs.

File Operations

Reading and writing files, working with CSV and JSON data, exception handling, and processing real-world data formats.

Object-Oriented Basics

Classes, objects, methods, inheritance—understanding OOP concepts without getting lost in design patterns prematurely.

Course Curriculum

Module 1: Python Basics

  • Setting up Python and your development environment
  • Variables, data types, and type conversion
  • Operators: arithmetic, comparison, logical
  • Input and output operations
  • Comments and code documentation
  • Common built-in functions

Module 2: Control Flow

  • Conditional statements: if, elif, else
  • Boolean logic and truth values
  • Loops: while and for
  • Break, continue, and pass statements
  • Nested loops and conditional logic
  • Loop patterns and common use cases

Module 3: Functions

  • Defining and calling functions
  • Parameters and arguments
  • Return values and None
  • Scope: local vs global variables
  • Lambda functions and when to use them
  • Recursion basics (when appropriate)

Module 4: Data Structures

  • Lists: creation, indexing, slicing, methods
  • Tuples: immutability and use cases
  • Dictionaries: key-value pairs, methods, iteration
  • Sets: uniqueness and set operations
  • Comprehensions: list, dict, set
  • Choosing the right data structure

Module 5: Working with Data

  • String manipulation and formatting
  • Reading and writing text files
  • CSV file processing
  • JSON data: parsing and creating
  • Exception handling: try, except, finally
  • Working with external data sources

Module 6: Problem Solving & OOP

  • Systematic problem-solving approaches
  • Basic algorithm design
  • Classes and objects fundamentals
  • Methods and attributes
  • Simple inheritance scenarios
  • When to use OOP vs procedural code

Logic Before Libraries

Python has incredible libraries for data science, web development, automation, and more. That's part of why it's so popular. But jumping straight to pandas or Django or TensorFlow without understanding core Python is like trying to run before you can walk.

This course focuses on computational thinking: how to break problems down, how to structure solutions, how to debug when things go wrong. These skills transfer regardless of which libraries you eventually use. Someone who understands loops, functions, and data structures deeply can learn any Python library quickly by reading documentation.

Learning syntax is the easy part. Understanding when to use a dictionary vs a list, how to structure nested loops efficiently, how to think through edge cases—these are harder and more valuable. This is what we focus on: building the problem-solving mindset that makes you a capable programmer, not just someone who's memorized library syntax.

After this course, you'll be ready to learn specialized libraries because you'll understand the underlying concepts they're built on. You'll read documentation effectively because you'll recognize the patterns. You'll debug issues because you'll understand what's actually happening in your code.

Who This Course Is For

This Course Is For You If:

  • You want to learn programming from first principles
  • You're patient with the learning process and willing to struggle
  • You want to understand concepts, not just copy code
  • You can dedicate 8-10 weeks to consistent practice
  • You're comfortable with abstract thinking and logic

This Course Is NOT For You If:

  • You want to jump straight into data science or web frameworks
  • You're looking for quick projects for your portfolio
  • You expect to become job-ready after 8 weeks
  • You want step-by-step tutorials without understanding why
  • You're not willing to debug your own code extensively
Important Disclaimer

This course teaches Python programming fundamentals. It does NOT guarantee employment as a Python developer, data scientist, or any other role. It does NOT promise specific salary levels or career transitions. Learning to program well requires months or years of consistent practice beyond any single course. This course provides foundations; becoming professionally proficient requires ongoing learning, project experience, and dedication that extends far beyond our curriculum.

Ready to Learn Python Properly?

If you're ready to build genuine programming skills—understanding logic and problem-solving before reaching for libraries—this course will give you a solid foundation.

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