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Python Programming Coding Practice Hands– On Exercises
Python Programming Coding Practice Hands– On Exercises
Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Python Programming Coding Practice Hands– On Exercises, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 42m | Size: 573.52 MB
Build Python problem-solving skills with hands-on practice in functions, data structures, OOP and algorithms.
What you'll learn
Write Python solutions using variables, operators, strings, conditionals, loops, functions, and core data structures.
Apply OOP with classes, inheritance, polymorphism, properties, dataclasses, and dunder methods.
Process files, JSON, CSV, dates, regular expressions, and SQLite data using Python's standard library.
Build reusable solutions with comprehensions, recursion, decorators, generators, context managers, and advanced function patterns.
Test and debug Python code with exceptions, unittest, mocking, logging, type hints, and input validation.
Solve algorithmic problems using searching, sorting, stacks, queues, heaps, trees, graphs, and interview patterns.
Use collections, itertools, functools, pathlib, datetime, Decimal, statistics, and other standard-library tools.
Practice asynchronous and concurrent Python using asyncio, ThreadPoolExecutor, task limits, and producer-consumer workflows.
Requirements
No previous professional programming experience is required to begin the foundational sections.
Basic computer literacy and confidence using a web browser are helpful.
A willingness to actively write, test, debug, and improve Python code is important.
Beginners should follow the topics in sequence before attempting the advanced sections.
Learners with existing Python knowledge may use individual sections for focused practice.
No formal certification or examination prerequisite is required.
Description
Python Practice Through Actual Coding
Python Coding Practice is a hands-on course built for learners who want to improve by writing code, not by spending most of their study time watching long lectures.
The course combines short concept videos with200 structured Python coding exercises that progress from beginner fundamentals to advanced problem solving.
Across40 topics, each topic follows a consistent practice pattern: one short concept video, two beginner exercises, two intermediate exercises, and one advanced challenge.
This structure gives you repeated practice with the same family of skills while steadily increasing the level of independence and reasoning required.
Course Overview
This is a video course with integrated coding exercises. It is not a practice-test-only course and it is not presented as certification-exam preparation.
The course contains
- 40 Python topics
- 40 short concept videos
- 200 hands-on coding exercises
- 80 beginner exercises
- 80 intermediate exercises
- 40 advanced challenges
- Progressive practice from Python fundamentals to advanced topics
- Coding instructions, automated evaluation, hints, and solution explanations for the exercises
The focus is practical application. You will read a problem, write or complete Python code, run it, debug failures, and improve your solution based on the exercise requirements.
What This Course Covers
The syllabus begins with Python fundamentals, including variables, data types, arithmetic operators, strings, Boolean logic, comparisons, conditional statements, for loops, while loops, break, continue, and range().
You then practise Python's core data structures through lists, tuples, sets, dictionaries, and nested collections.
These topics lead into functions, default arguments, *args, **kwargs, comprehensions, lambda expressions, map(), filter(), zip(), enumerate(), and recursion.
The next stage develops practical programming skills through exception handling, validation, modules, imports, numerical standard-library tools, dates and times, object-oriented programming, inheritance, polymorphism, properties, dataclasses, dunder methods, files, pathlib, JSON, CSV, and regular expressions.
Advanced sections cover iterators, generators, closures, decorators, context managers, collections, itertools, functools, type hints, unittest, mocking, and logging.
The problem-solving portion moves into searching, sorting, Big-O awareness, common coding-interview patterns, stacks, queues, heaps, trees, graphs, breadth-first search, and depth-first search.
The final practical sections introduce SQLite with Python and concurrency concepts using asyncio, ThreadPoolExecutor, task limiting, and producer-consumer workflows.
What Makes the Coding Practice Useful?
The exercises are arranged to make you do progressively more of the work.
Beginner problems reinforce syntax and individual concepts. Intermediate exercises combine multiple ideas and require stronger reasoning. Advanced challenges reduce scaffolding and focus more heavily on problem solving, edge cases, and implementation choices.
This format helps you practise Python immediately after reviewing a concept, build familiarity with standard-library tools, strengthen debugging habits, practise algorithms and data structures, and identify weak areas for further revision.
How to Use This Course
- Watch the short concept video for the topic.
- Attempt the two beginner exercises without opening the solution.
- Complete the intermediate problems, using hints only when necessary.
- Attempt the advanced challenge after finishing the earlier exercises.
- Review the solution explanation and repeat difficult exercises later without using your previous answer.
Sample Coding Exercise
Complete
def is_even(number)
pass
Return True when the supplied integer is even and False otherwise.
Examples
is_even(10) # True
is_even(7) # False
is_even(0) # True
One possible solution
def is_even(number)
return number % 2 == 0
The % operator returns the remainder after division. An integer is even when dividing by 2 leaves a remainder of 0.
Difficulty: Beginner Skill tested: Boolean expressions, arithmetic operators, functions, and basic problem solving.
Who this course is for
This course is suitable for beginners seeking structured Python practice, students who need more coding repetition, self-taught learners, aspiring developers, learners preparing for technical coding exercises or interviews, and intermediate programmers refreshing advanced Python topics.
Recommended Prerequisites
No previous professional programming experience is required to begin.
Basic computer literacy and a willingness to actively write and debug code are helpful.
Complete beginners should work through the sections in order, while learners with previous Python experience can focus on the topics most relevant to them.
Who this course is for
Beginners who want structured hands-on Python practice rather than lecture-heavy study.
Students who understand some Python theory but need more experience writing working code.
Self-taught programmers who want a clear path from fundamentals to advanced Python topics.
Aspiring Python developers who want to strengthen problem-solving and debugging skills.
Learners preparing for Python coding assessments, technical exercises, or programming interviews.
Intermediate programmers who want focused practice with OOP, algorithms, testing, SQLite, generators, decorators, and async programming.
Homepage
https://www.udemy.com/course/python-programming-coding-practice-hands-on-exercises/
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