It's a good course if you have some prior knowledge. For absolute beginners, some concepts might be a bit challenging. The structure is logical, though.
Python Programming: Learn to Code with Practical Applications
Master Python 3 fundamentals and build a solid foundation in modern programming through comprehensive written lessons and logic-based exercises.
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About this course
Python is the backbone of modern technology, used in everything from web development to artificial intelligence. This course provides a structured path for anyone to start coding, regardless of their previous experience, by focusing on the logic and syntax that power today's software.
You will move from understanding basic syntax to implementing sophisticated programming concepts. Through reading detailed explanations and practicing with written code examples, you will gain the skills needed to write clean, efficient, and professional Python code that follows industry standards.
What you'll learn:
- Understand core programming logic, variable types, and control flow structures
- Master modern Python features including type hints and dataclasses for robust code
- Implement object-oriented programming principles to organize and scale projects
- Manage dependencies and project environments using modern virtual environment tools
- Practice writing automated unit tests with pytest to ensure code reliability
- Build functional scripts and applications by applying logic to real-world scenarios
The course begins with foundational definitions and environment setup before progressing through data structures, functions, and advanced modules. Each section reinforces your learning through written explanations and practical code snippets designed to be studied and applied.
This course is designed for absolute beginners with no prior coding experience, as well as those looking to transition to Python from another language. No specialized software knowledge is required to start.
Begin your journey into the world of programming today.
Course contents
6 modules · 30 lessons · 3h
1
Foundations & Environment
Set up a professional development environment and understand basic programming building blocks.
- What is Python?
Understand Python's role in modern tech and foundational programming definitions.5 min - Setting Up Your Workspace
Install Python and a code editor to prepare for development.7 min - Virtual Environments
Create and manage isolated environments using venv for project stability.7 min - Variables and Basic Types
Work with integers, floats, strings, and booleans to store data.6 min - Basic Logic and Operators
Use arithmetic and logical operators to manipulate data.6 min
2
Control Flow & Data Structures
Learn how to manage the flow of a program and organize complex data.
- Conditional Logic
Use if, elif, and else statements to make decisions in code.6 min - Lists and Tuples
Store and access ordered collections of data.6 min - Dictionaries and Sets
Manage key-value pairs and unique collections for efficient lookup.6 min - For Loops
Iterate over collections to perform repetitive tasks.6 min - While Loops
Execute code blocks as long as a specific condition is met.6 min
3
Functions & Professional Standards
Write reusable code and adopt industry-standard practices for clarity.
- Defining Functions
Create reusable blocks of code using def and return.6 min - Scope and Arguments
Understand how data passes into functions and where variables live.6 min - Type Hints for Robust Code
Use modern Python type annotations to prevent bugs and improve readability.5 min - Error Handling
Use try/except blocks to manage exceptions gracefully.6 min - Writing Clean Code (PEP 8)
Apply industry-standard formatting and naming conventions.6 min
4
Object-Oriented Programming (OOP)
Organize and scale projects using classes and modern data structures.
- Classes and Objects
Model real-world entities using attributes and methods.6 min - Methods and 'self'
Define behavior within classes and understand instance context.6 min - Inheritance
Scale projects by creating specialized classes from base classes.6 min - Encapsulation
Protect internal data and provide clean interfaces for objects.6 min - Modern Dataclasses
Use the dataclasses module to simplify data-heavy class definitions.6 min
5
Modules, Dependencies & Testing
Extend Python's functionality and ensure code reliability.
- The Standard Library
Leverage built-in modules like math, datetime, and os.6 min - Managing Dependencies with pip
Install and track external packages using requirements files.6 min - Intro to Automated Testing
Understand why testing is crucial for professional software.5 min - Testing with pytest
Write and run unit tests to verify function behavior.7 min - Refactoring for Reliability
Improve existing code while keeping tests passing.6 min
6
Practical Applications
Apply all learned concepts to build functional scripts and applications.
- Working with Files
Read from and write to text files using Python.6 min - Project Structure
Organize multiple files and folders into a professional project.6 min - Command Line Arguments
Build scripts that accept input directly from the terminal.6 min - Building a Task Manager Script
Combine logic, OOP, and file I/O into a functional application.8 min - Course Wrap-up
Review key concepts and plan your next steps in Python.4 min
Final project
Personal Inventory System
Develop a professional-grade command-line application to manage a collection of items (e.g., books, tools, or tasks). The project must use a virtual environment, include type hints, utilize a dataclass for items, and feature automated tests.
What you'll get
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Certificate of completion
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Short & focused
3h of practical content
Certificate of completion
Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.
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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Python Programming: Learn to Code with Practical Applications
Skills demonstrated
✓
Behavioral pattern analysis
Foundational
1.2 hrs
✓
Decision-architecture frameworks
Proficient
1.4 hrs
✓
A/B test design
Proficient
1.7 hrs
✓
Behavioral copywriting
Advanced
1.9 hrs
P
PickAClass — Name Surname
Python Programming: Learn to Code with Practical Applications
Page 2 of 2
Performance detail
Coursework summary
Lessons completed
14 / 14
Practice questions
26 / 28
Assignments submitted
4 (avg 4.5 / 5)
Capstone project
Reviewed — 4.6 / 5
Total practice
6.2 hrs
Performance benchmark
Cohort rank
Top 12% of 1,625
Time to completion
11 days (median: 22)
Mastery score
91 / 100
Practice-question score
94%
Skill verification
Verified Skill Path
Reviews (6)
Really enjoyed the flow of this. The practical applications discussed were spot on. Great course!
A truly excellent learning experience. The flow was logical and the examples were super helpful.
This was a good introduction. The structure is logical, and it covers the basics effectively. Might be too introductory for advanced learners.
This was a brilliant way to learn! The structure was logical, the pace was spot on, and the examples were super helpful. Highly recommend!
It's a solid course. The structure is logical and most of the examples were helpful. Could use a few more real-world scenarios though.
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Frequently asked
What do I need to take this course? +
Just a phone or computer with internet. No installs, no special hardware.
How do I pay? +
By card via Stripe. We don’t store card details — Stripe handles them securely.
Can I get a refund? +
Yes — full refund within 14 days, no questions asked.
How long will I have access? +
Forever. Once you purchase, the course is yours to revisit anytime.
Will I get a certificate? +
Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.
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