Python Course Syllabus

Python Syllabus

Python is one of the most common programming languages being used today. Our Python Course offers a complete knowledge required to be a successful Python programmer. That being said, lets look into the Python Course Syllabus.

Python Programming

Introduction to Python

We will start with an introduction to the Python programming language. You will learn some of the special features of Python that set it apart from other languages. We also cover important differences between Python 2 and Python 3: enhanced syntax, improved Unicode support, and refreshed standard library in Python 3. You will be learning how to install and configure a Python development environment.

  • What is Python and the history of Python
  • Unique features of Python
  • Python-2 and Python-3 differences
  • Installing Python
  • Setup Python Development Environment

Important Programming Basics in Python

Next up in the Python Programming Syllabus, we are going to see the basics of programming in Python. We shall take a look at the keywords in Python, indentation, and finally, comments for writing clean code in this language. You will get familiar with primary data types, variables, and operators. The operators include arithmetic and logical operators. Lastly, you will know how to manipulate strings and get user input all the way through to writing your very first Python program.

  • Python Keywords and Indentation
  • Comments
  • Python Basic Data Types
  • Python Variables
  • Operators in Python
  • Strings in Python
  • Getting User Input
  • First Python Program
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Loops and Control Statements

In this section, we will be looking into the various types of loops and control statements, such as if, nested if, for, while etc.

Control Structures

  • Simple if
  • if-else
  • nested if
  • If-elif-else


  • For loop
  • while loop

Loops and control statements are a significant part of Python Interview Questions and Answers asked by employers. Its essential to be knowledgeable on the subject.

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Break & Continue Statements

In this section, we will be knowing what break and continue statements are and their applications.

Functions, Modules & Packages in Python

In this section, you’ll learn to define and call user-defined functions, understand function parameters and scope, and use global vs local variables. You’ll explore lambda and anonymous functions, create and import modules, and use the __name__ and __main__ keywords. Additionally, you’ll learn to create packages and utilize both the standard library and external libraries.

  • Python user-defined functions
  • Defining and calling functions.
  • Function parameters
  • Function scope and global vs local variables
  • Lambda functions
  • Anonymous functions
  • Creating and using modules
  • Importing modules and namespaces
  • The __name__ and __main__ keywords
  • Creating and using packages
  • Using the standard library and external libraries.

Data Structures in Python

In this section, you’ll learn about lists in Python, including their use as stacks and queues, and explore tuples. You’ll understand the del statement, iterators, and the use of generators, comprehensions, and lambda expressions. You’ll also learn about ranges, dictionaries and their advanced features, as well as sets with practical examples, providing you with a solid grasp of these essential Python data structures.

  • Lists in Python
  • Lists as Stacks
  • Lists as Queues
  • Tuples in Python
  • Understanding Del statement
  • Understanding Iterators
  • Generators, Comprehensions and Lambda
  • Expressions
  • Understanding and using Ranges
  • Python Dictionaries
  • More on Dictionaries
  • Sets
  • Python Sets Examples

Exception Handling in Python

Here, you’ll learn about raising and handling exceptions in Python, including creating custom exceptions. You’ll understand how to use try, except, and finally blocks to manage errors and ensure your programs run smoothly, covering essential techniques for robust error handling.

  • Raising Exceptions
  • Handling Exceptions
  • Creating custom Exceptions
  • Using try
  • Using except
  • Using finally
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Multithreading in Python

In this section of the Python Syllabus, you will learn how to create threads, ensure proper synchronization, and execute concurrency correctly. You will be investigating how using thread pools provides efficient handling of system resources for dealing with tasks and several of the Multiprocessing modules to harness a state-of-the-art many-CPU core machine which improves the performance and responsiveness of a program.

  • Creating Threads
  • Thread synchronization
  • Thread pools
  • Multiprocessing Module

File Handling (I/O) in Python

In this module, you’ll grasp the essentials of file operations in Python. Learn to read and write text files efficiently. Explore appending data to files and tackle a stimulating challenge. Additionally, you will learn the intricacies of writing binary files, both manually and with Python’s Pickle module.

  • Reading and writing text files
  • Writing Text Files
  • Appending to Files and Challenge
  • Writing Binary Files Manually
  • Using Pickle to Write Binary Files

Collections in Python 

Here, you’ll grasp the fundamental concepts of collections, namely lists, tuples, sets, and dictionaries. Discover how lists offer ordered collections, tuples provide immutable sequences, sets ensure uniqueness, and dictionaries facilitate key-value mappings.

  • Understanding the Basics of Collections

You can learn more about collections by referring to Python Books.

Object Oriented Programming in Python

In this section of the Python Programming Course Syllabus, learn about Object-Oriented Programming in Python, from class definition to inheritance and polymorphism. Explore attribute access and efficient memory management through object destruction. Master these concepts for crafting robust and maintainable Python applications effortlessly.

  • Understanding OOPS in Python
  • Defining and Using Classes
  • Defining and Using Objects
  • Mastering Encapsulation in Python
  • Mastering Inheritance in Python
  • Mastering Polymorphism in Python
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects

Refer to the Python Tutorial to know more about Object Oriented Programming in Python.

Python Training

Python Regular Expressions

Next up, you’ll learn about regular expressions and powerful tools for pattern matching in strings. We’ll explore functions like match and search, understanding the difference between matching and searching. Additionally, you’ll discover how to perform search and replace operations efficiently. We’ll delve into extended regular expressions and the utilization of wildcards for versatile pattern matching.

  • What are regular expressions?
  • The match Function
  • The search Function
  • Matching vs searching
  • Search and Replace
  • Extended Regular Expressions
  • Wildcard

Database Connectivity in Python

In this section, you’ll grasp relational databases and SQL’s significance. You’ll create databases, tables, and insert data, all while honing your querying skills. Additionally, you’ll become adept at error handling, ensuring smooth database operations.

  • Understanding of relational databases
  • Understanding the role of SQL
  • Creating and connecting to databases using Oracle or MySQL.
  • Understanding the concept of tables
  • Understanding fields and primary keys
  • Creating tables
  • Inserting data into tables
  • Querying data using SQL
  • Delete records from tables
  • Error handling
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Network Programming

Now you will learn about sockets, unraveling their significance in networking. Explore the dynamics between clients and servers, unraveling their symbiotic relationship in data exchange. Dive into the realm of HTTP requests, mastering the art of handling them to craft seamless web experiences.

  • Introduction to Sockets
  • Understanding Clients
  • Understanding Server
  • Handling http requests

Capstone Projects

In this section of the course, we will be looking at a couple of capstone projects. Initially, you’ll delve into web scraping, a process of extracting data from websites using Python scripts. This project entails analyzing website structures and employing Python libraries for data extraction. Subsequently, you’ll tackle Excel automation, utilizing the win32com module to automate Excel tasks such as data modification and file saving.

  • Web Scraping using Python
  • Excel Automation using Python

Having these capstone projects as part of your resume will boost your chances of getting a high Python Developer Salary for Freshers.

Django Framework

HTML & CSS Refresher

In this section of the Basic Python Syllabus, you’ll learn the essential elements of an HTML document, including understanding and using HTML tags effectively. We’ll explore various HTML editors, create simple HTML documents, and add attributes to tags. You’ll master handling texts, applying HTML styles, and creating tables. Additionally, you’ll learn to handle images, layouts, and forms, enabling you to build well-structured and visually appealing web pages.

  • HTML
  • Elements of a HTML Document
  • Understanding HTML Tags
  • HTML Editors
  • Creating a Simple HTML Document
  • Adding Attributes to Tags
  • Handling Texts in HTML
  • HTML Styles
  • HTML Tables
  • Handling Images
  • Handling Layouts
  • HTML Forms

Introducing HTML 5

  • HTML Vs HTML 5
  • New Elements in HTML 5
  • New Form Elements in HTML 5
  • Handling Audio & Video
  • Handling Graphics
  • Handling Events
  • HTML 5 APIs
  • Web Workers

Introducing CSS and CSS 3

This section of the Python Programming Syllabus at at FITA Academy gets you started with the basics on CSS and CSS3: just what a style sheet is and how it works, cascading. You’ll get to know the difference between inline and external CSS, how to work with selectors, and the use of IDs and classes. We’ll delve into layout techniques, covering absolute, relative, and fixed positioning, and advance your skills with more complex CSS features.

  • What is a Style Sheet
  • Cascading Effect of a Style Sheet
  • Inline and External CSS
  • CSS Selectors – IDs and Classes
  • Understanding Layouts
  • Absolute, Relative and Fixed Positioning
  • Advanced CSS

Introduction of Django Framework

Following CSS, we will be looking into the Django framework, learning about its robust models layer, the installation process, and how to configure the settings module. You’ll also explore handling requests and responses, running the development server, and getting an introduction to the powerful Django admin site.

  • Models layer
  • Django installation
  • Settings module
  • Requests and responses
  • Running development server
  • Django admin site introduction

Models Layer

In this section of the Python Basic Syllabus, you’ll learn to install Django, configure the settings module, and handle requests and responses. You’ll explore running the development server, using the Django admin site, and working with models, field types, and queries. Additionally, you’ll cover accessing related objects, performing migrations, and managing database transactions, equipping you with essential skills to build robust web applications.

  • Django installation
  • Settings module
  • Requests and responses
  • Running development server
  • Django admin site introduction
  • Model introduction
  • Field types and customization
  • Queries
  • Accessing related objects
  • Django migrations
  • Database transactions

View Layer

In this module of the Python Developer Syllabus, you’ll learn about the view layer in Django, including how to define and use view functions for handling HTTP requests. You’ll explore URL configurations (URLConfs) and understand the use of shortcuts and decorators to simplify common tasks. Additionally, you’ll dive into request and response objects, manage file uploads, and work with class-based views and mixins to create reusable and organized code.

  • View functions
  • Handling HTTP Requests
  • URLConfs
  • Shortcuts and decorators
  • Request and response objects
  • File upload
  • Class based views
  • Mixins

Template Layer

In this Python Course module, you will learn about Django’s template layer, how to work with forms, and the template language itself. It covers built-in tags and filters as well as some humanization features of this template language. You will also learn how to roll out your own tags and filters. Mastering CSRF tokens and their place in securing web applications is another key aspect.

  • Forms
  • Overview of template language
  • Built-in tags and filters
  • Humanization
  • Custom tags and filters
  • Csrf token


In this section of the Python Syllabus for Beginners, you’ll learn about the essentials of Django’s template layer, including creating and managing forms using the Forms API, validating form data, and utilizing built-in fields and widgets. Additionally, you’ll explore model forms and form sets, which streamline form creation and management based on Django models.

  • Introduction
  • Forms API
  • Validating forms
  • Built-in fields, built-in widgets
  • Model form
  • Form sets

Internationalization and Localization

This chapter will cover internationalization and localization. You will see ways of setting both user interface elements and form input based on languages and regions. Besides, you will also learn various best practices in dealing with TimeZones that will go a long way in providing a seamless user experience across global audiences.

  • Internationalization
  • Localization
  • Localizing UI and form inputs
  • Time zones

Important Web Application Tools

In this section of the Advanced Python Syllabus, you’ll learn important web application tools, including Django’s built-in authentication, password management, and how to customize authentication. You’ll also explore caching, logging, pagination, session handling, and static file management. Additionally, you’ll be introduced to the Bootstrap framework, enhancing your ability to create responsive and visually appealing web applications.

  • Authentication
  • Django built-in
  • authentications
  • Password management
  • Customizing authentication
  • Caching
  • Logging
  • Pagination
  • Sessions
  • Static file management.
  • Introduction to the bootstrap framework

Capstone Project

In this part of the Python Syllabus, we will be dealing with the Capstone project, which involves creating a website using Python and Django. A web application will also be created where users can read and write blog posts, administer user accounts, leave comments for other users, and many other functions.

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