Loved the practical application examples. Exactly the kind of hands-on learning I was looking for.
Practical Python: From Foundations to First Projects
Master the fundamentals of Python and apply your skills by building practical command-line applications from the ground up.
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About this course
Ready to learn one of the world's most popular programming languages? This course provides a clear, step-by-step path for anyone looking to start programming with Python, focusing on building a strong foundation through hands-on practice.
This course is a structured, text-based guide to Python proficiency. You will start with the absolute basics of programming and gradually build your skills to write clean, efficient code. By the end, you'll have the confidence to tackle your own coding challenges and create several functional applications for your portfolio.
What you'll learn:
- Understand core Python concepts, including data types, variables, control flow, and functions.
- Learn the principles of Object-Oriented Programming (OOP) to structure your code effectively.
- Practice writing modern, readable Python using type hints and automated code formatting.
- Set up isolated virtual environments to manage project dependencies reliably.
- Apply your knowledge to real-world tasks like reading files and interacting with web data.
- Write basic tests for your code using the pytest framework to ensure it works as expected.
- Build a series of guided projects to solidify your learning and practice your new skills.
The course begins with essential terminology and setting up your development environment, then progresses through programming fundamentals, advanced concepts, and finally, a series of hands-on exercises and projects. This structured approach ensures you understand the 'why' behind the 'how'.
This course is designed for absolute beginners. No prior programming experience is required to get started.
Begin your Python programming journey today.
Course contents
6 modules · 30 lessons · 3h
1
Module 1: Python Foundations
Set up the environment and master basic syntax and data types.
- Your Python Lab: Installation and Setup
Install Python and a code editor to prepare for programming.8 min - The Coder's Dictionary: Essential Terminology
Understand what code, compilers, and interpreters are.6 min - Digital Containers: Variables and Naming
Store and label information using variables and naming conventions.6 min - Numbers in Python: Integers and Floats
Perform calculations using whole numbers and decimals.5 min - Text Processing: Working with Strings
Manipulate text data and use basic string methods.5 min - The Logic Switch: Booleans and Truth
Understand True and False values for decision making.6 min
2
Module 2: Logic and Collections
Learn how to control program flow and organize multiple pieces of data.
- Making Decisions: If, Elif, and Else
Use conditional statements to run code based on specific criteria.6 min - Repeating Tasks: The For Loop
Automate repetitive actions by iterating over sequences.6 min - Conditional Loops: The While Loop
Run code repeatedly as long as a condition remains true.6 min - Organizing Data: Lists and Tuples
Store multiple items in ordered collections.6 min - Key-Value Pairs: Dictionaries
Map related data using unique keys for fast lookup.6 min
3
Module 3: Functions and Modern Python
Write reusable code and adopt professional formatting standards.
- Reusable Logic: Defining Functions
Group code into functions to avoid repetition.6 min - Input and Output: Parameters and Returns
Pass data into functions and get results back.6 min - Modern Python: Using Type Hints
Add clarity to code by explicitly stating expected data types.6 min - Looking Professional: Automated Formatting
Use tools like Black to automatically style code according to PEP 8.6 min - Code Quality: Writing Clean, Efficient Logic
Apply readability principles to make code easier for humans to read.6 min
4
Module 4: Professional Workflow and Testing
Manage project environments and ensure code reliability with tests.
- Sandbox Mode: Virtual Environments
Create isolated spaces for projects to prevent library conflicts.6 min - External Power: Managing Dependencies with Pip
Install and track third-party libraries for your projects.6 min - Safety First: Introduction to Pytest
Understand the importance of automated testing in development.6 min - Bug Hunting: Writing Your First Test
Write a simple test function to verify logic automatically.6 min - Reliable Code: Assertions and Test Suites
Use assertions to check multiple scenarios in your code.6 min
5
Module 5: Object-Oriented Programming and Files
Structure complex programs and work with persistent data.
- Blueprints: Introduction to OOP
Understand the concept of classes as templates for data.6 min - Objects in Action: Classes and Instances
Create specific objects from your class blueprints.6 min - Self and Behavior: Class Methods
Define actions that objects can perform using methods.6 min - Persistent Data: Reading Text Files
Open and extract information from external .txt files.6 min - Saving Progress: Writing to Files
Store program output permanently in a file on your disk.6 min
6
Module 6: Real-World Data and Projects
Connect to the internet and build a portfolio-ready application.
- The Connected App: Interacting with Web APIs
Use the requests library to fetch data from the internet.6 min - Data Exchange: Working with JSON
Parse and use the standard format for web data exchange.6 min - Guided Project: A Real-World Weather Fetcher
Build a script that gets live weather data for any city.6 min - Final Project: Building Your Portfolio App
Combine all skills to create a final, functional application.6 min
Final project
The Smart Personal Organizer
Develop a command-line application that manages a task list, saves data to a file, fetches a daily motivational quote from a Web API, and includes a suite of pytest 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
Practical Python: From Foundations to First Projects
Skills demonstrated
✓
Behavioral pattern analysis
Foundational
1.2 hrs
✓
Decision-architecture frameworks
Proficient
1.4 hrs
✓
A/B test design
Proficient
1.7 hrs
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Behavioral copywriting
Advanced
1.9 hrs
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PickAClass — Name Surname
Practical Python: From Foundations to First Projects
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 (8)
Brilliant course design. The way concepts build on each other is seamless. Very practical and well-explained.
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.
Hmm, I'm not sure this is for absolute beginners. It assumes a bit of prior knowledge that wasn't explicitly taught. Some examples were confusing.
Pretty informative. I liked the practical application examples, though the initial setup took longer than I expected.
A good introduction. The structure was mostly clear, but I wish there were a few more real-world examples. Still, learned a lot.
Good foundational course. Explained things clearly, but could have used more hands-on practice to solidify the learning.
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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Just a phone or computer with internet. No installs, no special hardware.
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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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