Foundations of Python Programming: Build Modern Applications — PickAClass
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★ 4.3 (3) ⏱ 3h 1m 📚 28 lessons 🎧 Audio version

Foundations of Python Programming: Build Modern Applications

Learn Python from the ground up, mastering core syntax, data structures, and modern development practices to write clean, efficient code for any application.

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About this course

Python is the world's most versatile programming language, powering everything from simple automation scripts to complex web applications. If you want to start programming, learning Python is the most effective way to build a highly adaptable skill set. This course guides you step-by-step through the core concepts of Python. You will transition from reading basic syntax to writing structured, clean, and modern code, giving you the confidence to tackle real-world programming challenges. What you'll learn: - Understand core programming terminology, variables, and basic data types - Control program flow using conditional statements, loops, and logical operators - Organize code efficiently using functions, modules, and modern type hints - Manage data effectively with built-in structures like lists, dictionaries, and tuples - Set up clean development environments using virtual environments - Apply basic testing principles to your code using simple testing frameworks You will start by mastering foundational definitions and basic syntax before moving into structured data, file handling, and modern development workflows. Through clear written explanations and practical code scenarios, you will build a strong conceptual and practical foundation. This course is designed specifically for beginners with absolutely no prior programming experience. Start your programming journey today and learn how to write clean, modern Python code.

Course contents

6 modules · 28 lessons · 3h 1m

1 First Steps into Python
Understand the basics of programming and set up a professional environment. 4 lessons · 26 min
  1. Speaking the Language: Programming Terminology
    Introduction to what programming is and key terms like source code, interpreter, and syntax.    6 min
  2. Your Workbench: Setting Up Python
    Installing Python and configuring a clean development environment for the first time.    7 min
  3. Variables: Storing Your Data
    How to name and use variables to hold information in memory.    6 min
  4. Strings and Numbers: Basic Data Types
    Working with the most common data types: integers, floats, and strings.    7 min
2 Controlling the Flow
Learn how to make programs make decisions and repeat actions. 5 lessons · 32 min
  1. Comparing Values
    Using comparison operators to evaluate relationships between data.    6 min
  2. The 'If' Factor: Conditional Statements
    Directing program execution based on conditions using if, elif, and else.    7 min
  3. Logical Operators: Combining Conditions
    Using 'and', 'or', and 'not' to build complex decision-making logic.    6 min
  4. Repeat Performance: While Loops
    Executing code repeatedly as long as a condition remains true.    6 min
  5. Iterating with For Loops
    Using for loops to iterate over sequences and perform repetitive tasks efficiently.    7 min
3 Organizing Data
Master the built-in data structures used to manage collections of information. 5 lessons · 32 min
  1. Lists: Ordered Collections
    Creating and accessing ordered sequences of items in Python.    7 min
  2. Modifying Lists
    Adding, removing, and changing elements within a list structure.    6 min
  3. Tuples: Fixed Sequences
    Understanding immutable data structures and when to use tuples over lists.    6 min
  4. Dictionaries: Key-Value Mapping
    Storing and retrieving data using descriptive keys instead of indexes.    7 min
  5. Data in Action: Iterating Collections
    Combining loops with lists and dictionaries to process bulk data.    6 min
4 Writing Clean, Reusable Code
Structure code using functions and modules with modern best practices. 5 lessons · 33 min
  1. Defining Your Own Functions
    Creating reusable blocks of code to perform specific tasks.    7 min
  2. Inputs and Outputs: Arguments and Returns
    Passing data into functions and getting results back.    6 min
  3. Modern Type Hints
    Using type annotations to make code more readable and less error-prone.    7 min
  4. Understanding Scope
    Learning where variables live and how local vs global scope works.    6 min
  5. Modules: Organizing Your Files
    Breaking large programs into multiple files and importing functionality.    7 min
5 Real-World Workflows
Learn how to handle files and manage project environments like a pro. 5 lessons · 32 min
  1. Reading Data from Files
    Opening and processing text files to bring external data into Python.    6 min
  2. Saving Data to Files
    Writing program output to files for permanent storage.    6 min
  3. Virtual Environments: Isolated Spaces
    Creating isolated environments to manage project-specific dependencies.    7 min
  4. Managing Packages with Pip
    Installing and managing external libraries within your virtual environment.    6 min
  5. Modern Development Workflow
    A step-by-step look at the lifecycle of a modern Python project.    7 min
6 Quality and Reliability
Ensure your code is clean, bug-free, and professional. 4 lessons · 26 min
  1. Writing Clean Code (PEP 8)
    Following Python's style guide to write code that others can read.    7 min
  2. Introduction to Testing Principles
    Why we test code and the difference between manual and automated testing.    6 min
  3. Testing with Pytest
    Writing your first automated tests using a simple testing framework.    7 min
  4. Basic Debugging Techniques
    How to find and fix errors in your code systematically.    6 min
Final project

The Modern Task Tracker

Build a command-line application that manages a To-Do list. The app must allow users to add tasks, save them to a file, and use a virtual environment. You will also write a simple test to verify the task-adding 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 1m 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.

P
PickAClass
Skills profile · verifiable
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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Foundations of Python Programming: Build Modern 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
Foundations of Python Programming: Build Modern 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
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)

Jack Hall GB Verified learner
★ 5 · September 22, 2026

Absolutely fantastic! The structure was clear and the examples were super helpful for understanding. Definitely got a lot out of this.

Arnar Jónsson IS Verified learner
★ 4 · September 3, 2026

A good introduction. The structure was mostly clear, but I wish there were a few more real-world examples. Still, learned a lot.

Eko Prasetyo ID
★ 4 · June 30, 2026

This was a good introduction. The structure is logical, and it covers the basics effectively. Might be too introductory for advanced learners.

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