Good introduction. I appreciated the clear steps, although some of the later modules could have used more examples.
Python Programming Fast-Track: From Foundations to Modern Practices
Master essential Python syntax, object-oriented concepts, and modern coding standards through a streamlined, text-based approach designed for rapid progress.
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About this course
Course contents
6 modules · 30 lessons · 2h 56m
1
Foundations & Environment
Set up a professional workspace and master basic syntax.
- Setting Up: Virtual Environments
Isolate your project using venv to avoid dependency conflicts.7 min - Variables and Dynamic Typing
How Python stores data and handles types dynamically.6 min - Numbers and Mathematical Operations
Performing calculations and using built-in math functions.5 min - Strings and Modern F-Strings
Manipulating text and using f-strings for clean output.6 min - Working with Lists
Storing and accessing ordered collections of data.6 min - Booleans and Comparison
Using True/False values to prepare for logic.5 min
2
Control Flow & Logic
Make your programs smart by making decisions and repeating tasks.
- Conditional Logic with If-Else
Directing program flow based on specific conditions.6 min - Iterating with For Loops
Processing items in a collection efficiently.6 min - While Loops and Infinite Cycles
Running code as long as a condition remains true.5 min - Loop Control: Break and Continue
Fine-tuning loop execution for complex scenarios.5 min - Modern List Comprehensions
Writing concise, readable loops in a single line.6 min
3
Functions & Modern Syntax
Write reusable, self-documenting code.
- Defining Reusable Functions
Wrapping logic into named blocks for reuse.6 min - Arguments and Return Values
Passing data into functions and getting results back.6 min - Type Hints for Robust Code
Using modern syntax to specify expected data types.6 min - Understanding Scope
Differentiating between local and global variables.5 min - Modules and Imports
Organizing code across multiple files.6 min
4
Data Structures & File I/O
Handle complex data and interact with the file system.
- Dictionaries: Key-Value Pairs
Mapping data for fast lookups and structured storage.6 min - Tuples and Sets
Using immutable and unique collections.5 min - Reading Files Safely
Using context managers to open and read text files.6 min - Writing and Appending Data
Saving program output to external files.6 min - Automation: Batch File Processing
Combining loops and file I/O to automate tasks.7 min
5
Object-Oriented Programming
Structure applications using classes and objects.
- Classes and Objects
Creating blueprints for real-world entities.6 min - The __init__ Method and Self
Initializing object state and understanding 'self'.6 min - Methods and Behavior
Defining what your objects can do.6 min - Inheritance and Reusability
Building specialized classes from base classes.6 min
6
Professional Standards & Quality
Handle errors, test code, and manage dependencies.
- Exception Handling with Try-Except
Preventing crashes by catching and handling errors.6 min - Raising Custom Exceptions
Creating meaningful errors for your own logic.5 min - Intro to Testing with Pytest
Setting up a testing environment for your code.7 min - Writing Your First Unit Test
Verifying function behavior with assertions.6 min - Pip and Requirements Files
Managing external libraries and project dependencies.6 min
Automated Task & Log Manager
Build a command-line tool that manages a list of tasks, saves them to a file, uses OOP to represent tasks, and includes automated tests to ensure reliability.
What you'll get
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Certificate of completion
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Short & focused
2h 56m 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.
Reviews (3)
The content is good, but the pace might be a bit fast for absolute beginners. I found myself rewinding quite a bit. Still valuable info.
Fantastic course. The examples used were spot on and really helped solidify the concepts. My understanding has improved dramatically.
Learners also took
Hands-On Python Programming: Learn by Building Practical Projects
Professional Python: Build Structured Applications
Python Design Patterns: Foundations of Object-Oriented Architecture
Python Programming and Application Development
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