
Learn Python basics and object-oriented programming, then build basic projects and explore Django as a backend framework. Master Git version control and access hands-on videos and community support.
Kick off your backend development journey by mastering video settings, including playback speed, resolution, audio, screen size. Understand why reviews matter and how to access lectures, resources, and announcements.
Explore a centralized resource hub for Python, Django, and Git with project code, notes, official docs, and editor tools; learn habits to stay independent, understand concepts, and share progress.
Leverage ChatGPT and Bard as learning accelerators for developers. Use prompts to write, explain, and modify code, and practice across topics from Python to Django.
Explore why Python shifts from hype to real growth in industry and academia, highlighting its easy learning, vast ecosystem, and use in data analysis, automation, and backend development.
Learn how to install Python from python.org, add Python to the path, verify the installation, and run code with Python or Python 3 and Idle across Windows, Mac, and Linux.
Learn the different methods to execute Python code, including the Python command line window, Idle, and the system prompt (cmd/terminal), and see how editors and online tools run Python files.
Explore variables and memory management in Python by treating variables as containers, examining memory addresses, and understanding how value changes affect memory location and efficiency.
Explore Python data types by examining built-in types: none, numeric (int, float, complex), sequence, set, and mapping, plus booleans and string usage in real examples.
Master sequences in Python by exploring strings, lists, tuples, and ranges, including quotation styles and basic indexing. Compare lists and tuples, and learn to create and view ranges for loops.
Learn how sets differ from lists and tuples, including unordered storage, non-indexing, and converting lists to sets; then explore dictionaries as key-value mappings with direct key-based access.
Explore literals and identifiers in Python, including numeric, boolean, and string literals, with binary, decimal, hexadecimal, octal, and complex examples, plus the assignment operator.
Explore Python's reserved keywords and why you cannot use them as variable, method, or class names; discover about 33 words in Python 3.7 with examples like true, false, and finally.
Learn Python operators, including arithmetic and assignment, covering addition, subtraction, multiplication, division with float results and floor division, modulus, exponent, and augmented assignments like += and -=
Master unary minus, relational operators, and logical operators in Python, with examples using numbers like 10, -20, and 15 to compare values and evaluate booleans.
Explore escape characters in Python strings, learn to use backslashes for new lines and quotes, print multi-line text, and display literal slashes without triggering escapes.
Explore input and output statements in Python, using input and print to take user data, format results, and see how data moves from instruction through processing to output.
Explore python's print function and output statements, using arguments, variables, concatenation, and formatting with indices and modulus to display dynamic results.
Learn to read user input with Python's input function, assign it to a variable, print it, prompt what is your name or age, and convert string to integer with int.
Explore built-in functions and modules in Python, learn to define and reuse user defined functions, import modules, and call functions like max, len, and pow to perform calculations.
Master working with code editors for Python development. Set up vs code, use the built-in terminal, manage extensions, create a practice folder, and follow naming conventions for files and folders.
Learn python conditionals with if and else and proper indentation to execute code blocks based on conditions, illustrated by age checks and traffic light examples.
Explore Python conditionals by combining if statements with logical operators, taking real-time input, casting types, and using nested ifs to handle age, positive/negative numbers, and room selection.
Explore conditionals in Python by mapping student names to room numbers using if, elif, else, and nested if statements, with input validation and handling invalid student names.
Explains why loops matter and shows a while loop printing 0 to 5. Covers infinite loops, breaking with control, and summing user input until zero ends the loop.
Learn how the for loop iterates over elements of a sequence, using in for membership checks. Explore looping through lists, strings, ranges, sets, and dictionaries, with indentation and print outputs.
Explore for loops across lists, sets, strings, dictionaries, printing and iterating keys or values. Use range to control start, stop, and step, and pair keys with values using two variables.
Explore break and continue statements in loops, where break exits the loop and continue skips an iteration. Through simple examples, learn when to stop early or skip steps.
Welcome to The Complete 2026 Backend Development Bootcamp - Python Roadmap,
Throughout the course, we will explore the most important technologies and concepts you need to know to become a market-ready developer.
Here is the structural flow that we will follow,
Basics of Programming
Core Python
Object-Oriented Programming
Python Projects
Django Core
Django Authentication
Django Deployment
Git and GitHub
Here are few companies that use these technologies -
Google, Facebook, Instagram, Spotify, Quora, Netflix, Dropbox, Reddit, and 1000 others.
Why we prefer Django Framework?
Since Django is written in pure Python, it was originally built around the Model View Controller (MVC) framework. The concept is still applicable in the current version of the framework, as well. But when it comes to Django, developers usually refer to the architecture of Django as Model View Template (MVT).
Three distinct layers are responsible for supporting the architecture, and they can be used separately in the Python Django framework. Models hold information about all your data, and they are represented using attributes/fields. Models have no information about Django layers. Communication between multiple layers is made possible only through an API.
Why this course?
Complete course is focused on project building approach, you learn every concept through a logical approach.
Learn all important concepts in the simplest possible way with tons of examples, projects, and quizzes.
No previous programming or coding experience required, we will cover everything step-by-step from basics.
Enroll now and I will make sure you learn best about development!