Python Full Stack Developer Course Syllabus (With PDF)

full stack python developer course curriculum illustration

Companies are adopting newer technologies to shift their workforce to operate remotely, and people are using technology to streamline their work processes. This has resulted in a significant expansion in the use of applications, increasing the demand for Python full-stack developers.

Python ranks among the top five most-used programming languages in India and globally. 

python is top programming language

However, there is still a gap between industry demands and developers’ skill sets. 

After training more than 30,000 students over the last 5+ years, we believe theory is not sufficient to survive the competition. We have, therefore, carefully designed a Python full-stack curriculum to bridge this gap and help learners get better opportunities. 

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python full stack course syllabus by codegnan

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Complete Python full stack developer course syllabus and curriculum For 2024

Here’s a TL;DR:

Module NameWhat you will learn 
1. Python Introduction and Setting Up the EnvironmentGain knowledge of the Python language, its differences from R, different job roles, IDEs, and the process of downloading and setting up the Python environment.
2. Python Basic Syntax and Data TypesLearn about input and output operations, variables, basic data types, and typecasting in Python.
3. Operators in PythonUnderstand different operators in Python and their functionalities.
4. StringsLearn how to create, format, index, and slice strings in Python, along with string methods.
5. TuplesUnderstand tuples, their syntax, properties, indexing, slicing, and methods.
6. ListsLearn about lists, their properties, indexing, slicing, methods, and how to add, update, and remove elements from lists.
7. SetsLearn about sets, their syntax, operations, methods, and the difference between sets, tuples, and lists.
8. DictionariesUnderstand dictionaries, their syntax, how to store and access data, and dictionary methods.
9. Python conditional statementsLearn how to set logic with conditional statements and use if, if-else, and if-elif-else statements.
10. Loops in PythonUnderstand loops in Python, including while and for loops, range, break, continue, pass, enumerate, zip, and assert.
11. Getting Started with HackerRank use cases and working on themSolve HackerRank challenges and assignments to acquire bronze and silver-level badges.
12. List and Dictionaries comprehensionLearn about list and dictionary comprehension and their syntax.
13. FunctionsUnderstand functions, how to create and call them, pass arguments, and other essential concepts related to functions.
14. Anonymous functionLearn about Lambda functions and how to use them with filter, map, and reduce.
15. GeneratorsLearn how to create and use generators in Python programming.
16. ModulesUnderstand how to create modules, import functions or variables from other modules, and learn about Python built-in modules.
17. Exceptions and Error HandlingLearn about different types of errors and how to handle them using try, except, and finally blocks.
18. Working on Object Oriented Programming (OOPs)Learn about classes, objects, attributes, methods, inheritance, polymorphism, and operator overloading in Python.
19. PackagesLearn how to create packages and import modules from packages, as well as different ways of importing modules and packages.
20. Date and TimeLearn about the Date and Time modules, time delta, formatting date and time, strftime(), and strptime().
21. RegexLearn about regular expressions and their use in Python, including, re.compile(), re.find(), re.split(), re.sub(), and metacharacters.
22. FilesLearn how to open different types of files, read, write, and close files, and open files in different modes.
23. MySQL DatabaseLearn about MySQL database, its operators, string functions, working with MySQL workbench, MySQL joins, and more.
24. Python for Web Development – FlaskLearn about Flask, a Python web framework.
25. Flask introduction and installationLearn how to install Flask, its components, and the importance of a virtual environment for project development.
26. Building routes with FlaskLearn about dynamic routes, redirection, URL building, URL converters, requests, and responses in Flask.
27. Getting into Front-end Web DevelopmentLearn about front-end web development.
28. HTMLLearn basic HTML concepts, including page structure, formatting content, creating lists and links, and controlling styling.
29. CSS3Learn about CSS3, its core concepts, Flask request handling, Jinja 2 template engine, and dynamic web pages with Flask-Jinja2.
30. CSSLearn about typography, layouts, login system with Flask, server-side sessions, file handling with Flask, and advanced layouts.
31. JavaScriptLearn about typography, layouts, login systems with Flask, server-side sessions, file handling with Flask, and advanced layouts.

1. Python Introduction and Setting Up the Environment 

Learning a programming language to become a full-stack developer is essential for backend coding, and we will know Python for that. This section of the Python curriculum will give you a brief knowledge of the language and its difference from R, where you can implement these concepts, an understanding of Python IDEs, and the process of downloading and setting up the Python environment.

  • Introduction to Programming 
  • R or Python?
  • Why Python for Data Science?
  • Different job roles with Python 
  • Different Python IDEs
  • Downloading and setting up the Python environment 

2. Python Basic Syntax and Data Types

After setting up the Python environment on PCs or MACs, you need to understand how to code. This section covers the concepts of different input and output operations, variables, basic data types, and typecasting. Every variable you use in the programming is used to store data of varied types, and each of them performs different functions. You will learn each of these data types used in Python and how to cast them from one type to another. 

  • Python input and output operations
  • Comments
  • Variables, rules for naming variables 
  • Basic data types in Python
  • Typecasting in Python

3. Operators in Python

Learning operators in Python helps you instruct the machine to perform operations like additions, comparisons, etc., on variables and values. Each operator in Python performs different operations, and you will learn them in-depth from this section. 

  • Arithmetic operators
  • Assignment operators
  • Comparison operators
  • Logical operators 
  • Identity operators
  • Membership operators
  • Bitwise operators

4. Strings

Python Strings comprises a collection of alphabets, words or characters surrounded by single or double quotes. Here, you will learn how to create strings in Python, understand indexing and string slicing, and string formatting.

  • Creating strings
  • String formatting 
  • Indexing 
  • Slicing 
  • String methods

5. Tuples

Tuples are built-in Python data types that are used to store collections of data in a single variable. Tuple elements are written within rounded brackets that maintain order, are unchangeable, and allow duplicate values. In this part of the module, you will learn the basic concepts of tuples, including their syntax, properties, indexing and slicing, and tuple methods. 

  • Syntax to create tuples
  • Tuple properties 
  • Indexing on tuples
  • Slicing on tuples
  • Tuple methods

6. Lists

Another popular Python built-in data type is Lists that can store multiple items in one variable like Tuples, but are written within square brackets. These items follow an order, are changeable, and allow duplicate values. You will learn how to create a list, perform various functions like adding and removing items from lists, indexing and slicing, and gain knowledge of list methods and creating lists of lists.

  • Creating lists
  • Properties of lists
  • List indexing 
  • List slicing 
  • List of lists
  • List methods
  • Adding, updating, & removing elements from lists

7. Sets

Sets, like tuples and lists, store multiple items in a single variable and are written within curly brackets. Set items are unordered; you cannot make changes to a set once created and are unindexed. This section of the course will teach you the syntax for creating sets, performing different operations and set methods, and how to update sets. By the end of the module, you will learn the difference between sets, tuples, and lists. 

  • The syntax for creating sets
  • Updating sets
  • Set operations and methods 
  • Difference between sets, lists, and tuples

8. Dictionaries 

This is the last category of built-in data types in Python that stores values in key : value pairs and are written within curly brackets. Dictionary items maintain an order, do not allow duplicate values, and you can make changes to the dictionary. You will learn the syntax for creating dictionaries, how to store and access data, and how to know dictionary methods.

  • The syntax for creating dictionaries 
  • Storing data in dictionaries 
  • Dictionaries keys and values
  • Accessing the elements of directories 
  • Dictionary methods

9. Python conditional statements 

While creating Python programs, you need to put some conditions in place and perform a function when the condition is met. You will learn how to set a logic with conditional statements and use if, if-else, and if-elif-else statements to execute different conditions.

  • Setting logic with conditional statements 
  • If statements
  • If-else statements 
  • If-elif-else statements 

10. Loops in Python

Loops in Python are similar to conditional statements, where you can execute repeated statements until a specific condition is met. Python uses mainly while and for loops, which you will learn from this section, along with the use of break, continue, and pass statements. 

  • Iterating with Python loops
  • While loop
  • For loop
  • Range
  • Break
  • Continue 
  • Pass
  • Enumerate
  • Zip
  • Assert

11. Getting Started with HackerRank use cases and working on them

Our trainers will assist you in solving HackerRank quizzes and assignments so that you can easily crack exams and win bronze and silver-level badges. Hackerrank certificates will help you land good jobs globally. 

  • Solving level by level challenges
  • Assignments to acquire bronze and silver level badges

12. List and Dictionaries comprehension 

This part of the course discusses list and dictionaries compression that helps you produce simple and easy-to-understand codes, but only when you use them properly. You will learn the syntax of list comprehension and dict comprehension effectively in a Python program. 

  • Why List comprehension
  • The syntax for list comprehension 
  • The syntax for dict comprehension 

13. Functions 

Functions in a Python program are collections or blocks of code that are executed only when you call them and return data as a result. You will learn about functions, how to create and call functions, pass arguments, and various other concepts essential for programming.

  • What are functions
  • Modularity and code reusability
  • Creating functions
  • Calling functions 
  • Passing arguments 
  • Positional arguments
  • Keyword arguments
  • Variable-length arguments (*args)
  • Variable keyword length arguments (**kargs)
  • Return keyword in Python
  • Passing function as an argument 
  • Passing function in return 
  • Global and local variables 
  • Recursion 

14. Anonymous function

Anonymous function doesn’t have names and can be invoked immediately or stored in a variable. These functions are known as Lambda functions, and you will learn about them in depth during this part of the course. 

  • Lambda
  • Lambda with filter
  • Lambda with map
  • Lambda with reduce

15. Generators

Generators allow you to declare a function that acts like an iterator. This part of the course will teach you how to create and use generators in Python programming. 

  • Creating and using generators

16. Modules

Modules are like code libraries that contain Python definitions and statements. You will learn how to create modules, import functions or variables from other modules, and learn various in-built Python modules. 

  • Creating modules
  • Importing functions from a different module
  • Importing variables from different modules 
  • Python built-in modules

17. Exceptions and Error Handling 

Your Python programs can encounter multiple errors during execution that restrict proper execution or generate an error message. Therefore, you must understand how to handle errors and exceptions. This section will teach you different types of errors and the process of handling them using try, except and block, along with handling syntax and logical errors. 

  • Syntax errors
  • Logical errors
  • Handling errors using try, except and finally

18. Working on Object Oriented Programming 

Classes and Objects (OOPs)

Python programming is object-oriented, and therefore, you need to know about objects and how to create them. This segment covers the core of object-oriented programming in Python, from encapsulation to inheritance, abstract classes, understanding of different methods, overriding, using the super() function, and operator overloading.

  • Creating classes & objects
  • Attributes and methods 
  • Understanding_init_constructor method 
  • Class and instance attributes 
  • Different types of methods 
  • Instance methods
  • Class methods
  • Static methods
  • Inheritance 
  • Creating child and parent class
  • Overriding parent methods 
  • The super() function 
  • Understanding types of inheritance 
  • Single inheritance 
  • Multiple inheritance 
  • Multilevel inheritance 
  • Polymorphism 
  • Operator overloading 

19. Packages

Python files containing different functions are stored in modules, and these modules make up Python packages. This segment will teach you how to create packages and import modules from the package, as well as understand different ways of importing modules and packages. 

  • Creating packages
  • Importing modules from the package 
  • Different ways of importing modules and packages 

20. Date and Time

Date and Time are Python modules that instruct Python classes to work with date and time. You will learn multiple time and date-related modules like time delta, strftime(), strptime(), and knowledge of how to format date and time, more.

  • Date module
  • Time module
  • Datetime module
  • Time delta
  • Formatting date and time
  • strftime()
  • strptime()

21. Regex

Regex (Regular Expression) is a highly specialised programming language available through the “re” module of Python. You will learn different module functions that are mostly used in coding.

  • Understanding the use of regex
  • re.compile()
  • re.find()
  • re.split()
  • re.sub()
  • Meta characters and their use

22. Files

A file is a named location used in Python Programming to store data. In this part of the course, you learn how to open different types of files in different modes and perform operations on them including reading, writing and closing files. 

  • Opening file
  • Opening different file types
  • Read, write, close files
  • Opening files in different modes

23. MySQL Database 

Web applications and software often need to store and retrieve data, which means you need to learn database systems. Here, you will learn about MySQL database, its operators, string functions, working with MySQL workbench, MySQL joins, and more.

  • Introduction to Database 
  • SQL Sublanguages 
  • MySQL Operators 
  • Comparison Operators 
  • DDL:Alter and Rename
  • String Functions 
  • Constraints 
  • Refining Selections and Working with MySQL workbench 
  • Working with Aggregate functions and SQL Files
  • More on Data types
  • MySQL Joins

24. Python for Web Development – Flask 

25. Flask introduction and installation 

There are multiple Python frameworks that help you build robust and scalable web applications, but Flask is suitable for beginners. You will learn how to install the flask package and its components, and you will also be introduced to the need for a virtual environment for project development. 

  • Introduction to flask and its architecture 
  • Installing flask package and introduction to its components 
  • Introduction to Virtual Environment and its importance in project development 
  • Creating Virtual Environment and activating, deactivating it
  • Introduction to routing in Flask and Building sample flask application 

26. Building routes with Flask 

This section of the course teaches you about dynamic routes and how to build them with Flask. You will learn multiple other concepts to create dynamic web applications and handle different requests and response methods in Flask.

  • What is a dynamic route?
  • Building dynamic routes with flask
  • Redirection in Flask
  • Dynamic URL building with url_for function 
  • URL converters in Flask
  • int and string url converters 
  • request and response in Flask

27. Getting into Front-end Web Development

28. HTML

To develop the front end of your application, you need to learn HTML. This section of the course will cover the basic concepts of HTML, including building a basic web page structure, formatting page content, creating lists and links, and controlling styling.  

  • Introduction 
  • Basic page structure 
  • Formatting page content 
  • Creating lists
  • Structuring content
  • Creating links
  • Controlling styling 
  • Basic Scripting 

29. CSS3

Besides HTML, you need CSS to make your site visually appealing and provide a user-friendly interface. CSS3 is the updated version of CSS, which has separate modules for specific styling and layouts. Besides learning the core of CSS, you will learn how to handle HTML requests using Flask, which is one of the popular Python frameworks, and the use of Jinja 2 and Flask in developing dynamic web pages.

  • Getting Started 
  • CSS Core
  • Flask Request Handling 
  • Jinja 2 Template Engine
  • Dynamic Web Pages with flask-Jinja2

30. CSS

This section of CSS comprises a few basic concepts required for styling your web application, including typography, layouts, file handling with flask, and so on.

  • Typography 
  • Layouts
  • Login system with flask, Server side sessions
  • CSS
  • Files handling with Flask 
  • Advanced layout 

31. JavaScript 

After HTML and CSS, full-stack developers need to focus on Javascript to build dynamic and interactive web applications and software. This section of the course introduces you to the basic JavaScript concepts required for a full stack developer, including how to write JavaScript, knowledge of array, control flow, functions, loops, etc. 

  • Introduction 
  • Basics 
  • Writing JavaScript 
  • Custom DevBlog Application 
  • Control flow
  • Arrays
  • Loops and Iteration
  • Functions
  • Essential JavaScript Built-in methods 
  • Writing JavaScript Advanced 
  • JavaScript and the DOM
  • Es6 Concepts 
  • Deployment in Cloud 

Hands-on projects included in Codegnan’s Python full-stack developer course syllabus

  • Instagram Database Clone 
  • Custom DevBlog Application 
  • Creating an internal template using HTML and CSS 
  • Instagram Login Page
  • Fully functional E-Commerce application 
  • Building Calculator using JS
  • Random Password Generator 
  • Discussion Board Application 
  • Personal Records Manager

What topics come under the Python full stack developer course?

Multiple topics come under the Python full-stack developer course. These developers can handle both sides of web development, including the software’s front and back ends. 

To provide well-rounded solutions with minimum errors and improved efficiency, they need to learn multiple topics. Some of them are listed below. 

1. Basics of Python programming 

Understanding Python programming concepts, including syntax and data types, operators, string operations, working with tuples, lists, set operations, etc., is necessary. This programming language can be used for frontend and backend development or full stack development for web applications. 

With fundamental concepts of programming, you can write and run different Python codes to execute web development-related tasks. 

To build powerful and sophisticated applications, you need to be familiar with popular Python libraries. These include an understanding of Django, Flask, and Pyramid for Python full-stack web development. Other than these, you can learn about Pandas, Matplotlib, sciPy, NumPy, and Seaborn for data science projects and sci-kit-learn for machine learning projects. These libraries provide previously written codes for various tasks and save you time in writing them. 

As a Python full-stack developer, you need to learn different aspects of an application, and these applications offer the necessary tools and functionalities to perform diverse tasks smoothly. 

3. Proficiency in HTML, CSS, and JavaScript 

As a full-stack developer, you can use Python for back-end development, but for building user interfaces and handling client-side interactions, you need to know HTML, CSS, and JavaScript. While HTML and CSS are responsible for creating the look and feel of your website, JavaScript, AJAX, and JQuery help in making them responsive and engaging.

4. Knowledge of database systems 

Web applications and software often need to store and retrieve data, which means you need to learn database systems. It includes learning data modelling techniques, database design principles, schema designs, query languages, and database administration. You must also have a good understanding of data structures and algorithms. Under the database system curriculum, you will learn string functions, constraints, refining selections, working with MySQL workbench, working with aggregate functions and SQL files, and more. 

The multiple Python frameworks, including AIOHTTP, Dash, Falcon, Django, Flask, and more that developers require for full-stack projects. You can concentrate mainly on Django and Flask. These frameworks help build robust and scalable web applications and software and handle multiple tasks like URL routing, database integration, request/response handling, and more. 

IDEs and code editors provide multiple features and tools to enhance your productivity and workflow, save time, and reduce errors. Having experience with these tools, you can develop applications efficiently.

Is Python full stack developer course difficult to learn?

Python full stack developer course is difficult to learn if you are a beginner in the domain. Besides learning Python programming language, you need to have expertise in database management, AWS, different frameworks like Flask, and web technologies, including HTML, CSS, and JavaScript. 

Having theoretical knowledge isn’t enough; you need to keep learning and practising regularly to become an expert in full-stack development using Python. Having frustrations with errors in applications is common, and practising regularly will help you identify bugs and solve them. 

While it is true that Python is easy to learn, we checked practitioners’ opinions on Quora if learning Python full stack development would be useful for getting jobs. They say yes! However, knowing only Python is not enough, and that’s what makes learning Python full-stack development difficult. 

What are the things I need to know to become an expert Python full-stack developer? 

What is the salary of a Full-stack Python developer in India?

The average salary of a full stack Python developer in India is ₹4.0 LPA with an estimated monthly take-home salary of ₹29,531 – ₹30,852. An early-stage developer can earn around ₹1.4 LPA. However, with a little more experience in the domain and expertise, they can earn up to ₹9.2 LPA. 

The table below illustrates a Python full-stack developer salary range in the top-tier cities of India.

CityPython full-stack developer salary 
Hyderabad ₹1.0LPA-₹9.4LPA
Bangalore ₹2.4LPA-₹9.3LPA

Is Python full stack development a good career?

Yes, Python full stack development is a good career in 2024 and will maintain its graph in the next few years. 

The demand for full-stack developers is rising as companies prefer spending on one professional rather than hiring 2 to 3 people for different tasks. In research by Statista, we saw Full Stack developers were in high demand next to back-end developers in 2023. So, we are expecting that Python full-stack developers will find more opportunities in 2024.

Demand for Python full-stack developers is high:

The demand for Python full-stack developers is high because of their knowledge of different topics and varied skill sets. Companies would like to hire an all-around professional who can design, develop, and maintain web applications and software all at a time.

The graph below illustrates the demand for Python full stack developers in India over the last 2 years.

Multiple job opportunities:

Learning Python full stack development opens the door to multiple job opportunities, like Python development, web designing and development, front-end or back-end development, database management, software testing, and more. These professionals are highly demanded in multiple domains, including finance, e-commerce, health, education, etc. We have researched Python full-stack developer job vacancies in India on LinkedIn and found 1300+ new vacancies for Python experts in full-stack development, back-end development and more. 

We also searched on Indeed and Glassdoor for Python full-stack development opportunities. On Indeed, we found that there are 1000+ job vacancies for full-stack Python development, and on Glassdoor, we found 1400+ vacancies.

Salary is high:

You may not be earning like Java full-stack developers in India, but you can earn handsome pay in this domain with constant practice, upskilling, and industry experience. Full stack developers are highly paid in India as they are masters of multiple skills. 

Better work-life balance:

Python full-stack developers can work remotely, which ensures they have a healthy work-life balance. While looking for the true scenario of work-life balance, we researched AmbitionBox and found IBM employees rated it 4.0/5, which is good. Not just IBM but employees from TCS, UST, Infosys, and multiple other companies have seen this change in work-life balance in the past few years.

How many months is the full stack Python developer course?

It takes around 3-4 months or 100 days to complete a full-stack Python developer course. However, the duration of this course may vary with different institutes as it depends on multiple factors. These can be the course curriculum, number of practical sessions, projects completed, class duration, trainers’ expertise, etc. 

However, even if you complete the course within 100 days, you must keep practising and check our updated course materials. It will help you meet the current industry requirements and avoid layoffs. Most of the layoffs in companies are the reason for the skill gap in the industry. Our course aims to bridge that gap and ensure that our learners survive the competition. 

Why enroll in Codegnan’s Python Full Stack Developer course?

Taking up a course from an institution is a tough decision as you need to compare multiple factors. For example, the institution’s reputation, course curriculum, facilities, fees, trainers’ expertise, etc. A good institution will certainly provide an industry-oriented, comprehensive Python full-stack development course trained by experienced mentors. 

This is exactly why you can enrol in Codegnan’s Python full-stack developer course. Codegnan has been rated 4.8/5 on Google by 2,285 students. 

Here are a few other reasons for enrolling in Codegnan’s Python full-stack program.

  • The entire course will cost you ₹50,000, which is a limited-period offer for interested candidates 
  • Training institutes are available in Hyderabad, Bangalore and Vijayawada, along with the flexibility of choosing online live classes
  • Trained by experts from top universities, working in the domain, or have training experience of years
  • The course curriculum is designed as per the current industry standards and offers a course completion certificate at the end
  • Offers hands-on training on multiple projects that improves your developer skills and can add them to your resume to enhance value
  • You get an opportunity to win HackerRank badges, which can further get you better job opportunities 

2800+ students of Codegnan have been placed in 1250+ startups and top companies since 2018, and you can be the next one!

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