Python Programming Fundamentals through Practical Exercises — PickAClass
★ 4.3 (3) ⏱ 3h 📚 30 lessons 🎧 Audio version

Python Programming Fundamentals through Practical Exercises

Build a solid foundation in Python by solving structured coding challenges and mastering modern programming patterns.

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About this course

Starting a career in technology requires a solid grasp of Python, but reading theory alone is rarely enough to make concepts stick. This course provides a structured, text-based environment where you learn by doing, ensuring you internalize the logic behind the code. You will transform from a total beginner into a confident programmer by working through a series of written exercises that reinforce core mechanics. By focusing on constant application, you will develop the problem-solving mindset necessary for web development, data science, or automation. What you'll learn: - Understand fundamental programming logic and Python syntax from the ground up. - Apply modern Python features including type hints and dataclasses for robust code. - Practice writing efficient functions, loops, and conditional statements through text-based labs. - Manage complex data structures effectively using lists, dictionaries, and sets. - Implement basic automated testing using pytest to verify your solutions. - Explore modern development workflows including virtual environments and asynchronous programming basics. The course begins with essential terminology and foundational definitions to ensure you understand the 'why' before the 'how.' You will then move through a logical progression of concepts, each paired with written exercises designed to build your skills step-by-step. This course is designed for absolute beginners with no prior programming experience. All you need is a willingness to read, think, and practice. Start building your programming foundation with Python today.

Course contents

6 modules · 30 lessons · 3h

1 Foundations & Environment
Set up the workspace and understand the building blocks of Python syntax.
5 lessons · 30 min
  1. The 'Why' of Programming
    Understand essential terminology and the logic behind how computers follow instructions.
    6 min
  2. Your Sandbox: Virtual Environments
    Learn to create and use virtual environments to keep projects organized.
    6 min
  3. Variables and Basic Syntax
    Master the rules of naming variables and basic Python syntax structure.
    6 min
  4. Introduction to Type Hints
    Use type hints to make your code more readable and less prone to errors.
    6 min
  5. Input and Output Basics
    Learn how to interact with users through the console using print and input.
    6 min
2 Control Flow and Logic
Learn how to make decisions and repeat actions in code.
6 lessons · 36 min
  1. Comparison Operators
    Use symbols like ==, !=, and > to compare different values.
    6 min
  2. Conditional Statements: If/Else
    Direct the program's path based on specific conditions.
    6 min
  3. Logical Operators
    Combine multiple conditions using 'and', 'or', and 'not'.
    6 min
  4. The For Loop
    Repeat a block of code for every item in a sequence.
    6 min
  5. The While Loop
    Keep code running as long as a condition remains true.
    6 min
  6. Break and Continue
    Control the flow of loops by skipping iterations or exiting early.
    6 min
3 Managing Data Collections
Organize and manipulate groups of data effectively.
5 lessons · 30 min
  1. Lists: Ordered Collections
    Store and access multiple items in a single ordered variable.
    6 min
  2. List Methods and Slicing
    Modify lists and extract specific portions of data.
    6 min
  3. Dictionaries: Key-Value Pairs
    Map related data points together using unique keys.
    6 min
  4. Sets: Unique Items
    Work with collections that automatically handle duplicates.
    6 min
  5. Iterating Over Collections
    Efficiently process data stored in lists and dictionaries using loops.
    6 min
4 Functions and Data Modeling
Write reusable code and structure complex data.
5 lessons · 30 min
  1. Defining Your Own Functions
    Wrap logic into reusable blocks to avoid repetition.
    6 min
  2. Parameters and Return Values
    Pass data into functions and get results back.
    6 min
  3. Variable Scope
    Understand where variables live and how long they last.
    6 min
  4. Type Hints in Functions
    Annotate function inputs and outputs for better documentation.
    6 min
  5. Introduction to Dataclasses
    Create custom data types to represent real-world objects cleanly.
    6 min
5 Automated Testing with pytest
Ensure your code works as expected using industry-standard tools.
4 lessons · 24 min
  1. The Logic of Testing
    Understand why we verify code and what makes a good test.
    6 min
  2. Setting Up pytest
    Install and configure the pytest framework in your environment.
    6 min
  3. Writing Assertions
    Use the 'assert' keyword to check if your code's output is correct.
    6 min
  4. Testing Functions
    Write test cases for specific functions to catch bugs early.
    6 min
6 Advanced Basics & Workflow
Explore modern workflows and the developer mindset.
5 lessons · 30 min
  1. Asynchronous Concepts
    Understand the 'why' behind non-blocking code and concurrency.
    6 min
  2. Async and Await Syntax
    Learn the basic syntax for writing asynchronous functions in Python.
    6 min
  3. The Problem-Solving Mindset
    Develop strategies for debugging and breaking down complex tasks.
    6 min
  4. Code Refactoring
    Improve the structure of your code without changing its behavior.
    6 min
  5. Course Review
    Summarize all key concepts before starting the final project.
    6 min
Final project

The TaskMaster CLI

Build a command-line task manager that allows users to add, list, and categorize tasks using dataclasses and dictionaries. You must also write a small test suite using pytest to verify the task addition logic.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • 🎧 Audio version included
    Learn on the go — no screen needed
  • ♾️ Lifetime access
    Come back anytime, no expiry
  • 📱 Phone or computer
    Works anywhere, any device
  • 💸 14-day refund
    No questions asked
  • ⚡ 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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PickAClass
Skills profile · verifiable
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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Python Programming Fundamentals through Practical Exercises
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 Fundamentals through Practical Exercises
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
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

Reviews (3)

Anna Ozoliņa LV Verified learner
★ 4 · September 12, 2026

Decent introduction. The structure was logical, but I wish there had been more hands-on practice beyond the basic examples.

Isabella Reyes AR
★ 4 · August 18, 2026

This was a brilliant way to learn! The structure was logical, the pace was spot on, and the examples were super helpful. Highly recommend!

Htet Paing MM Verified learner
★ 5 · July 14, 2026

Couldn't have asked for a better learning experience. The structure flowed perfectly, and the examples were incredibly relevant. Highly recommend!

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