Introduction to Programming with Python
Learn with Codemint Academy
39 modules
English
Lifetime access
Jumpstart Your Coding Journey with Python
Overview
The Introduction to Programming with Python course is perfect for beginners who want to learn programming from the ground up. In this course, you'll explore the fundamental concepts of programming while learning Python, one of the most popular and versatile programming languages today.
You will start with the basics, including Python syntax, variables, and data types, then move on to more advanced concepts such as control structures, functions, and error handling. You will also learn how to work with Python’s built-in data structures like lists, dictionaries, and sets, which are essential for building real-world applications.
As you progress through the course, you'll gain hands-on experience by building small projects and solving problems that reinforce your understanding of core programming concepts. Additionally, you will get an introduction to object-oriented programming, file handling, and working with external libraries, enabling you to write more complex Python programs.
By the end of the course, you’ll have the skills to write clean, efficient code and build functional Python applications, making this the perfect foundation for advancing your career in software development, data science, or other tech fields.
Key Highlights
Beginner-Friendly: Designed for complete beginners, no prior coding experience required.
Hands-On Learning: Build real-world projects to apply what you learn and solidify programming concepts.
Comprehensive Curriculum: Covers fundamental Python concepts such as variables, control structures, functions, and data structures.
Problem-Solving Focus: Learn how to break down problems and write efficient, clean code.
Interactive and Practical Assignments: Daily assignments and quizzes to test your knowledge and reinforce learning.
What you will learn
Develop foundational programming skills
Understand variables, loops, functions, and data structures in Python
Practice coding with Python exercises
Apply what you've learned through hands-on programming tasks
Build a strong foundation for further Python learning
Prepare yourself for more advanced Python courses and real-world programming projects
Modules
Introduction to Programming
5 attachments • 23 mins
Overview of Programming and its importance
Key Concepts in Programming: Algorithms and Data Structures
Why Learn Python? Advantages and Applications
Setting Your Programming Goals with Python
Quiz: Fundamentals of Programming
Setting Up the Python Development Environment
5 attachments • 23 mins
Installing Python on Different Operating Systems
Setting Up Your First Integrated Development Environment (IDE)
Verifying Your Python Installation
Troubleshooting Common Python Installation Issues
Your Python Development Environment Setup Checklist
Writing Your First Python Program: Hello, World!
5 attachments • 21 mins
Understanding the Basics of Programming
Writing Your First Python Program: Step-by-Step
Executing Your Python Program: IDEs and Terminals
Enhancing Readability with Comments in Python Code
Lab Exercise: Personalizing Your Program
Understanding Python Syntax and Semantics
5 attachments • 20 mins
Introduction to Python Syntax: Basics and Rules
Syntax vs. Semantics: Understanding Code Structure and Meaning
Common Syntax Errors in Python: Troubleshooting Guide
Writing Clean Code: The Importance of Style Guides and PEP 8
Recap and Practical Exercise: Correcting Syntax Errors
Using Python as a Calculator
4 attachments • 18 mins
Introduction to Python as a Calculator
Performing Arithmetic Operations and Using Variables in Python
Understanding Operator Precedence in Python
Building a Simple Calculator Program in Python
Data Types and Variables in Python
5 attachments • 21 mins
Introduction to Data Types in Programming
Exploring Basic Data Types in Python
Creating and Assigning Variables in Python
Type Conversion in Python: Techniques and Examples
Practical Exercise: Data Types and Variables
Understanding Algorithms and Flowcharts
6 attachments • 26 mins
Introduction to Algorithms in Programming
Understanding Flowcharts: Visualizing Algorithms
Flowchart Symbols: Understanding the Basics
Creating Flowcharts for Everyday Tasks
Designing Custom Algorithms and Flowcharts
The Role of Algorithms and Flowcharts in Problem Solving
Control Structures: Conditionals (if, else, elif)
6 attachments • 26 mins
Introduction to Control Structures in Programming
Understanding Conditional Statements: if, else, and elif
Real-World Applications of Conditional Statements
Deep Dive into Nested Conditionals
Best Practices for Writing Conditional Statements
Exercise: Building Programs with Conditionals
Loops: For and While Loops
5 attachments • 22 mins
Introduction to Loops in Programming
Understanding For Loops in Python
Exploring While Loops in Python
Developing Loop Control in Python Programs
Comparing For Loops and While Loops
Functions: Definition and Calling
6 attachments • 24 mins
Introduction to Functions in Python
Defining and Calling Functions in Python
Enhancing Code Readability with Functions
Naming Functions: Best Practices
Creating Your Own Functions: A Practical Exercise
When to Use Functions: A Recap
Understanding Scope and Lifetime of Variables
6 attachments • 27 mins
Understanding Variable Scope in Python: Key Concepts and Definitions
Exploring Variable Lifetime and Memory Management: An Engaging Approach
Common Errors Related to Variable Scope: Recognizing and Addressing Issues
Best Practices for Managing Variable Scope: Strategies for Success
Dive into Variable Scope: Hands-On Exercises to Master Local and Global Variables
Summary of Variable Scope and Lifetime in Python: A Comprehensive Review
Error Handling: Exceptions and Debugging Techniques
6 attachments • 28 mins
Understanding Errors in Programming: Syntax vs. Runtime Errors
Handling Exceptions in Python with Try and Except
Debugging Techniques: Identifying and Resolving Issues in Code
Collaborative Debugging: A Hands-On Exercise
Best Practices for Robust Error Handling in Python
The Significance of Effective Error Handling
Problem-Solving Techniques and Strategies
5 attachments • 22 mins
Introduction to Problem Solving in Programming
Common Problem-Solving Techniques: Definitions and Examples
Reflecting on Problem-Solving Techniques: Discussions and Scenarios
Best Practices for Approaching Complex Problems
Practical Exercise: Applying Problem-Solving Techniques
Decomposing Problems into Manageable Parts
5 attachments • 20 mins
The Importance of Decomposing Problems
A Real-World Example: Planning a Simple Event
Practicing Decomposition: Sample Programming Problems
Visual Aids for Problem Decomposition
Recap and Active Decomposition Activity
Pseudocode and its Importance in Programming
4 attachments • 17 mins
Introduction to Pseudocode: Bridging Human Thought and Programming
Characteristics of Effective Pseudocode
Hands-On Exercise: Writing Pseudocode for Programming Constructs
Interactive Exercise: From Pseudocode to Python Code
Practice with Simple Problems: Write Python Functions
5 attachments • 21 mins
Introduction to Functions in Python
Writing Simple Functions: Step-by-Step Guide
Practicing Function Creation with Simple Problems
Best Practices for Writing Python Functions
Collaborative Coding Session: Function Implementation
Introduction to Testing: Unit Tests in Python
5 attachments • 23 mins
Understanding Unit Testing and Its Importance
Getting Started with Unit Tests in Python
Testing Your Functions: Strategies and Considerations
Best Practices in Unit Testing
Collaborative Reflection: Sharing Testing Experiences
Introduction to Data Structures: Lists, Tuples, Sets, and Dictionaries
5 attachments • 23 mins
Understanding Data Structures in Programming
Exploring Lists, Tuples, Sets, and Dictionaries
Practical Examples of Data Structures in Python
Choosing the Right Data Structure: A Guide
Comparing Python Data Structures: Strengths and Weaknesses
Manipulating Strings in Python
5 attachments • 20 mins
Introduction to Strings in Python
Common String Methods in Python
String Indexing and Slicing in Python
Practical Applications of String Manipulation
Best Practices for String Manipulation in Python
Working with Lists: Indexing, Slicing, and Methods
5 attachments • 21 mins
Introduction to Lists in Python: Flexibility and Importance
Indexing and Slicing: Accessing List Elements
Common List Methods: Usage and Examples
Hands-On Exercises: Creating and Manipulating Lists
Best Practices for Working with Lists in Python
Understanding Dictionaries: Key-Value Pairs
5 attachments • 21 mins
Introduction to Python Dictionaries: What They Are and How They Differ from Lists
Creating and Accessing Dictionaries in Python
Common Dictionary Methods: Keys, Values, and Items
The Practical Applications of Dictionaries in Python
Hands-On Practice: Creating and Manipulating Python Dictionaries
Using Loops with Data Structures
5 attachments • 22 mins
Iterating Over Data Structures: An Introduction
For Loops and While Loops: Basics and Applications
Nested Loops: Manipulating Data Structures
Best Practices for Loop Control in Python
Hands-On Exercises: Applying Loops to Data Manipulation
Introduction to List Comprehensions
5 attachments • 22 mins
Introduction to List Comprehensions in Python
Syntax and Basic Examples of List Comprehensions
Advantages of List Comprehensions Over Traditional Loops
Exercises: Converting Loops to List Comprehensions
Best Practices for Writing List Comprehensions
Understanding and Using Modules
6 attachments • 24 mins
Introduction to Modules in Python
Importing Modules in Python
Exploring Built-in Modules: math and random
Best Practices for Creating Custom Modules
Common Pitfalls in Module Usage
Hands-On Exercise: Creating and Importing Your Own Module
File I/O: Reading from and Writing to Files
6 attachments • 27 mins
The Importance of File I/O in Programming
Mastering Basic File Operations in Python
Understanding File Modes in Python
Best Practices for File Handling in Python
Common Mistakes and How to Avoid Them in File I/O
Hands-On Lab: Practicing File I/O in Python
Introduction to Object-Oriented Programming (OOP) in Python
6 attachments • 28 mins
Understanding Object-Oriented Programming (OOP) and Its Importance in Python
Classes and Objects: The Building Blocks of OOP
Core Terminology and Basic Class Implementation in OOP
The Benefits of Using Object-Oriented Programming
Common Pitfalls in Object-Oriented Programming Design
Hands-on Project: Creating a Simple Class to Model an Everyday Object
Creating and Using Classes and Objects
6 attachments • 26 mins
Defining Classes and Creating Objects in Python: A Practical Approach
Understanding Constructors and the __init__ Method: Enhancing Class Design
Instance Variables vs Class Variables: Understanding Scope
Best Practices for Class Naming and Organization: Coding with Clarity
Common Pitfalls in Class Design: Avoiding Mistakes
Hands-On Exercise: Creating Your Own Class with Real-World Applications
Inheritance and Polymorphism in Python
6 attachments • 29 mins
Introduction to Inheritance and Polymorphism in Python
Creating Subclasses and Method Overriding
Using the super() Function for Method Resolution
Understanding Method Overloading and Its Limitations
Best Practices for Designing Class Hierarchies
Hands-On Exercise: Building a Class Hierarchy
Understanding the Python Standard Library
6 attachments • 26 mins
Introduction to the Python Standard Library
Key Modules of the Python Standard Library
Exploring the Standard Library Documentation
Best Practices for Using the Python Standard Library
Common Pitfalls When Using the Python Standard Library
Group Activity: Sharing Insights on Python Standard Library Modules
Project: Developing a Simple Calculator Application
7 attachments • 36 mins
Introduction to Calculator Applications
Designing the Structure of a Simple Calculator
Implementing Functions for Calculator Operations
Incorporating User Input into the Calculator
Input Validation and Error Handling in Calculators
Enhancing the Calculator for User Experience
Lab Exercise: Build Your Simple Calculator Application
Project: Creating a To-Do List Application
6 attachments • 27 mins
Introduction to To-Do List Applications
Creating a Text-Based User Interface for Task Management
Implementing Task Management Functions
Handling User Inputs and Validation Checks
Saving and Loading Tasks: Ensuring Persistent Storage
Enhancing Your To-Do List Application
Introduction to Libraries: Using Requests and JSON
6 attachments • 28 mins
Understanding Python Libraries: The Toolbox of Programming
Decoding JSON: The Universal Language of Data Exchange
Getting Started with the Requests Library in Python
Parsing JSON Responses in Python
Best Practices for Handling API Responses in Python
Practical Applications of Requests and JSON in Programming
Project: Accessing Web APIs and Displaying Data
6 attachments • 26 mins
Understanding Web APIs: The Basics
Accessing Web APIs with the Requests Library
Parsing JSON Data: From Response to Display
Enhancing API Outputs for Better User Experience
Best Practices for Using Web APIs: Keys and Limits
Practical Lab: Accessing Public APIs and Displaying Results
Final Project: Developing a Personal Python Project
6 attachments • 34 mins
Introduction to Your Final Project: A Capstone Experience
Brainstorming Project Ideas: Aligning Interests with Skills
Planning Your Project: Outlining Requirements and Steps
Organizing Your Project: Components and Flowcharts
Testing and Iterating Your Project: Importance of User Feedback
Documenting and Presenting Your Final Project
Course Summary and Key Takeaways
5 attachments • 23 mins
Overview of Key Programming Concepts: Building Blocks for Python Mastery
Essential Programming Concepts to Master Python
Skills Gained Through Practical Learning: A Path to Programming Proficiency
Reflecting on Progress: Challenges and Triumphs in Your Learning Journey
Motivational Insights for Continuing the Programming Journey
Resources for Further Learning in Python
5 attachments • 26 mins
Engaging with the Python Community
Essential Python Documentation and Books
Top Online Learning Platforms for Python
Practicing Python Through Coding Challenges
Exploring Specializations in Python
Best Practices for Writing Clean Code
6 attachments • 30 mins
Mastering Clean Code: Principles You Need to Know
The Essential Role of Comments and Documentation
Building Collaborative Code: Consistent Naming Conventions and Standards
Refactoring for Clarity and Reusability: A Beginner's Guide
Common Pitfalls in Clean Code: Learning from Mistakes
Adopting Best Practices: Version Control and Testing Fundamentals
Exploring Advanced Python Topics
5 attachments • 24 mins
Introduction to Advanced Python Concepts
Harnessing the Power of Decorators in Python
Efficient Looping with Generators
Leveraging Libraries and Frameworks in Python
Specialized Python Applications and Future Exploration
Building a Roadmap for Future Programming
5 attachments • 26 mins
Identifying Your Programming Goals and Interests
Creating Your Personalized Learning Roadmap
The Importance of Continuous Practice in Programming
Getting Involved: Open-Source and Online Communities
Staying Motivated and Adapting Your Learning Path
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Can I interact with the instructor during the course?
Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.
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