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Python

Earn ₹5–24 LPAwith Python skills

Go from zero to production Python with 120 animated, voice-explained videos: core language, OOP, testing, FastAPI, databases, Docker and automation.

Learner exploring visual course lessons, concepts, practice, and projects
₹299₹1,99985% off
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5,700+ learners enrolled
One-time payment. 3 months access to every video in this course.
4.95,700+ ratings
All LevelSkill level
120 videos34+ hours
CertificateShareable on finish

Course preview

See how the lessons work before you buy

Watch free demo lectures from the course to see the visual, voice-explained teaching before enrolling.

Python free demo: What is Programming and Why Python thumbnail

Free demo lectures8 videos

Career outcomes

Build skills that open doors to real roles

Use your Python knowledge in portfolio projects, interviews, and practical work for roles such as these.

01

Python Developer

Entry level
02

Backend Engineer

Mid level
03

Automation Engineer

Senior track

About this Python programming course

This Python course turns important concepts into clear visual explanations you can learn in short sessions and revisit whenever you need a refresher.

Work through 120 videos at your own pace, apply each idea through structured examples and assignments, track your progress, and earn a certificate when you finish.

Skills you will learn

Python syntax and core logic

Build practical understanding through visual explanations, guided examples, and focused practice.

Data structures and functions

Build practical understanding through visual explanations, guided examples, and focused practice.

Object-oriented programming

Build practical understanding through visual explanations, guided examples, and focused practice.

APIs, testing, and automation

Build practical understanding through visual explanations, guided examples, and focused practice.

Who this course is for

New programmers

Strengthen your Python foundation with clear visual explanations and practical context.

Developers adding a new language

Fill knowledge gaps and apply Python concepts more confidently in practical work.

Automation and data learners

Use structured lessons and focused practice to support projects, interviews, and career growth.

Topics

Python syntax and core logicData structures and functionsObject-oriented programmingAPIs, testing, and automationPython fundamentalsPractical examplesDebugging techniquesProduction best practicesInterview preparation

Syllabus

What is inside the course

Review the Python curriculum module by module, from core concepts through real build projects and interview prep.

01Getting Started4 lessons • 1h 04m

See what programming is, why Python, set up your tools and run your first program.

What is Programming and Why Python15:05
Setting Up Your Tools16:10
Your First Program16:34
What Happens When You Run Python15:46
02Variables and Data Types5 lessons • 1h 50m

Store and transform data with variables, numbers, strings and the types Python gives you.

Variables as Labels on Boxes20:41
Numbers20:32
Text and Strings28:16
True, False and None16:46
Input and Output23:41
03Decisions and Loops5 lessons • 1 build • 1h 37m

Make programs decide and repeat with conditions, for and while loops.

Making Decisions with if14:00
Comparing and Combining18:22
Repeating with while15:02
Repeating with for and range19:07
Nested Loops and match15:43
A Number Guessing Game14:38
04Functions5 lessons • 1h 17m

Package logic into reusable functions with arguments, return values and scope.

Functions as Recipes13:23
Parameters and Arguments16:13
args and kwargs14:06
Scope: What a Function Can See15:43
Recursion and Lambdas17:49
05Data Structures6 lessons • 1 build • 2h 02m

Organise data with lists, tuples, sets and dictionaries and pick the right one.

Lists15:59
Tuples and Unpacking18:03
Dictionaries19:45
Sets17:45
Comprehensions16:37
Names, Objects and Mutability15:23
An Expense Tracker18:02
06Files, Text and Errors5 lessons • 1 build • 2h 06m

Read and write files, process text and handle errors without crashing.

Reading and Writing Files20:35
CSV and JSON19:44
Exceptions21:25
Raising and Designing Errors16:08
Dates, Times and the Standard Library Tour26:34
A Log File Analyser21:55
07Modules, Packages and Environments4 lessons • 1h 12m

Split code into modules and packages and isolate projects with virtual environments.

Splitting Code into Modules14:01
Packages and Project Layout14:44
Virtual Environments and uv Projects23:31
Third-Party Packages and PyPI19:24
08Object-Oriented Programming6 lessons • 1 build • 2h 00m

Model real things with classes, objects, inheritance and clean object design.

Classes and Objects16:19
Attributes and Methods16:41
Encapsulation and Properties13:19
Inheritance and Composition18:49
Dunder Methods15:25
Dataclasses, Enums and Abstract Classes19:09
The allcsvideos Domain Model20:03
09Writing Pythonic Code5 lessons • 1 build • 1h 46m

Write idiomatic Python with comprehensions, generators, decorators and context managers.

Iterables and Iterators13:00
Generators17:59
Closures and Decorators19:55
Context Managers15:08
Standard Library Power Tools21:03
A Decorator Toolkit18:32
10Type Hints and Modern Python4 lessons • 1h 14m

Use type hints, dataclasses and modern Python features to write safer code.

Type Hints15:40
Checking Types with Pyright, Generics and Protocol18:40
TypedDict, Slots, NamedTuple and Pattern Matching21:25
What's New in Modern Python18:19
11Python Under the Hood4 lessons • 1h 09m

Understand how Python runs your code: objects, memory, the GIL and the interpreter.

Everything Is an Object18:07
Memory and Garbage Collection16:08
The GIL and Free-Threaded Python15:24
Measuring and Improving Speed19:03
12Concurrency5 lessons • 1 build • 1h 35m

Run work in parallel with threads, processes and asyncio.

CPU-Bound vs IO-Bound10:34
Threads18:48
Processes13:44
asyncio from Scratch16:41
Async in Practice19:31
A Concurrent Link Checker15:45
13Testing5 lessons • 1 build • 1h 37m

Test with pytest, fixtures and mocks, and build features test-first.

Your First pytest Tests13:48
Fixtures and Parametrize18:38
Mocking20:42
Coverage and Property-Based Testing14:04
Test-Driven Development14:32
A Shopping Cart with TDD14:56
14Code Quality, Logging and Debugging4 lessons • 1h 16m

Keep code clean with linting, logging and debugging tools.

Clean Code, Ruff and pre-commit17:42
Debugging18:22
Logging the Right Way20:59
Design Patterns the Python Way19:20
15Web APIs with FastAPI6 lessons • 1 build • 2h 02m

Build web APIs with FastAPI: routes, validation and responses.

How the Web Works and Your First Endpoint15:09
Parameters, Bodies and Responses17:22
Pydantic Models19:18
Errors Done Right15:45
Dependencies, Routers and Middleware18:23
Async Endpoints, Background Tasks and Docs16:22
A Course Catalog API20:03
16Databases5 lessons • 1 build • 1h 49m

Work with SQL databases, ORMs and migrations from Python.

SQL and PostgreSQL in Docker17:47
SQLAlchemy Core Ideas19:03
Relationships and the N+1 Problem14:46
Migrations with Alembic and Transactions18:42
Async SQLAlchemy and Connection Pools18:37
allcsvideos Backend v120:04
17Security and Authentication4 lessons • 1 build • 1h 30m

Secure your API with hashing, authentication, tokens and safe defaults.

Passwords Done Right16:01
Sessions, JWT and OAuth220:44
Authorisation and the OWASP API Top 1015:37
Input Attacks and Secrets17:56
Secure allcsvideos20:07
18Caching, Background Jobs and Messaging4 lessons • 2 builds • 1h 44m

Speed up and scale with caching, background jobs and message queues.

Redis and Caching16:21
Background Jobs with Celery17:22
Events and Messages11:11
Rate Limiting and Resilience20:47
A URL Shortener23:18
An Enrollment Email Worker15:08
19Docker, CI/CD and Deployment4 lessons • 1 build • 1h 14m

Containerise with Docker and ship through a CI/CD pipeline.

Docker for Python Apps15:58
Configuration the 12-Factor Way15:51
CI-CD with GitHub Actions12:43
Running in Production14:43
A Deployment Pipeline14:47
20Observability and Performance4 lessons • 56 min

Monitor and speed up your app with metrics, tracing and profiling.

Health Checks, Metrics and Dashboards16:01
Tracing with OpenTelemetry11:48
Finding Slow Code13:14
Making It Faster15:00
21Packaging, CLIs and Libraries3 lessons • 1 build • 1h 04m

Package your code, build command-line tools and publish libraries.

Command-Line Tools14:41
Building and Publishing a Package17:03
Working with Other People's Code16:03
Publish allcsv-cli16:00
22Data and Automation with Python3 lessons • 1 build • 1h 02m

Automate real work with data processing, scraping and scheduled reports.

Automating the Boring Stuff17:46
Web Scraping and APIs14:10
Data Analysis Taster14:36
A Weekly Report Bot15:57
23Interviews and Capstone4 lessons • 1 build • 1h 45m

Prepare for interviews and finish with a full capstone project.

The Python Gotchas19:41
The Coding Round Toolkit25:09
The Backend Interview Round21:31
Mock Interview and Roadmap13:53
Capstone: Course Copilot-lite25:02
23Modules
120Videos
104Lessons
16Builds
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Learn a whole skill, not one topic

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Longer access with more courses (3 courses = 7 months each)A certificate for each course in the combo
Python verified course completion certificate

Course certificate

Showcase your skills with a course certificate

Complete every Python lesson to earn a verified AllCSVideos certificate that demonstrates your commitment and newly developed skills.

Verified proof of completion

Receive a unique certificate ID that confirms your completed course.

Ready to share

Add your achievement to LinkedIn, your portfolio, resume, or social profile.

Accessible whenever you need it

Return to your certificate and learning record from your AllCSVideos account.

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Testimonials

What learners say after finishing

Real learning stories from people building practical skills with visual notes.

4.8/5

10,000+ verified public & course reviews

Learner story
“The visual notes finally made React hooks click for me. I had watched several tutorials before, but this was the first time the concepts felt connected. I finished the course during one week of train rides.”
Aanya S.
Aanya S.
React
Learner story
“I used one DSA lesson each morning and became much more confident explaining solutions in interviews.”
Shruti P.
Shruti P.
Data Structures and Algorithms
Learner story
“Short pages, no filler. I stopped abandoning courses halfway once I switched to reading instead of watching.”
Arjun T.
Arjun T.
JavaScript
Learner story
“The Python examples went straight into my project the same afternoon. Clear and practical from the first lesson.”
Fatima S.
Fatima S.
Python
Learner story
“I keep the SQL notes open while I work. Joins and window functions are easier to recall because I can find the exact visual explanation in seconds. It has become a daily reference, not just a course I completed.”
Rahul M.
Rahul M.
SQL
Learner story
“My approach to system design became much more structured within a month of finishing the course.”
Ishita R.
Ishita R.
System Design
Learner story
“The TypeScript course helped me understand the reason behind the types, not only the syntax. My project code feels much safer now.”
Dev P.
Dev P.
TypeScript
Learner story
“I came for Next.js and stayed for the visual explanations. Server and client components finally make sense without replaying long videos.”
Ishaan R.
Ishaan R.
Next.js
Learner story
“The Node.js course connected routing, validation, security, and deployment into one clear mental model. I now understand how the pieces fit together in a production API.”
Kabir N.
Kabir N.
Node.js
Learner story
“Data Analytics felt much less intimidating once every workflow was broken into short visual steps. I could practice one idea at a time.”
Rohan K.
Rohan K.
Data Analytics
Learner story
“The DevOps notes gave me a practical path from containers to delivery pipelines. I return to the diagrams whenever I need to explain a workflow to my team.”
Aman V.
Aman V.
DevOps
Learner story
“Generative AI finally felt concrete. The sections on prompts, RAG, and evaluation helped me move from experiments to a project I could actually demonstrate.”
Meera A.
Meera A.
Generative AI
Questions

Frequently asked questions

Still have questions? Let's talk

Learner finding answers about visual computer science courses
Are these video courses?
Yes. Every lesson is a short animated video with voice explanation, so you can watch, pause, and rewatch any concept whenever you need a quick explanation.
How long does one course take to finish?
The DSA with C++ course has 218 videos with more than 25 hours of content, the DSA with Java course has 218 videos with more than 26 hours, the DSA with Python course has 218 videos with more than 26 hours, the System Design course has 122 videos with more than 32 hours, the Spring Boot course has 105 videos with more than 24 hours, the Generative AI course has 98 videos with more than 25 hours, the DevOps course has 110 videos with more than 32 hours, the Python course has 120 videos with more than 34 hours, and the React course has 114 videos with more than 24 hours. Most lessons take under fifteen minutes. Your completion time depends on your pace, but you can make useful progress every day.
How long do I get access?
Each purchase gives you 3 months of access. You can renew anytime for the same price. If you renew early, the new 3 months are added after your current access ends, so you lose no days.
Do I get a certificate?
Yes. You receive a certificate after completing each eligible course. It can be shared as evidence of the topics and practical skills you covered.
What skill level do I need to start?
The course begins at a beginner level and requires no previous DSA experience. Basic C++ is covered in the first module, so you can start from the beginning.
Do I keep access to my course?
You keep access for 3 months from your purchase. After that you can renew at any time, and your saved progress is waiting for you when you come back.
Do the lessons get updated?
Yes. When an important tool, technique, or standard changes, affected lessons are updated and the new version appears in your course at no extra cost.