Python Syllabus | Advanced Python Topics

Python is free general purpose programming language with neat and beautiful syntax. It is available across many platforms, such as Windows, Linux, and Mac OS.

Due to its easy to learn nature along with object-oriented features, Python is used to developed applications quickly.

Our latest Python industrial syllabus has designed for the complete comprehensive study for beginners and professional. This syllabus contains full industrial Python topics to learn the Python from basic to advanced.

IT professionals, freshers, and engineering students from Computer science/Information Technology professional degrees can learn complete Python scripting language based on industry syllabus.

Professionals from the IT industry who are currently working in other programming languages and want to switch over Python can use this syllabus to enhance their knowledge of Python.

Basic Python Syllabus and Topics

1. Introduction to Python

• Python Introduction
• Features of Python
• Advantages of Python
• Python Applications
• Download and Install Python on Windows
• Download and Install Python on MacOS
• Writing Your First Python Program: Hello World
• Python as a Calculator
• Download and Install PyCharm
• Basic Python Syntax
• What is Indentation in Python?
• Comments in Python
• Docstring in Python
• Python vs C++
• Python vs Java

2. Basic Python

• Python Tokens
• Python Reserved Keywords
• Identifiers in Python
• Python Literals
• Delimiters in Python
• Escape Sequence in Python
• Python Variables: Global and Local
• Built-in Python Data Types
• Memory Management in Python

3. Python Operators

• What are Operators in Python?
• Assignment Operators
• Comparison Operators
• Logical Operators
• Bitwise Operators
• Identity Operators
• Membership Operators
• Ternary Operators
• What is Expression in Python?
• Operator Precedence

4. Python Decision Making Statement

• What is a conditional statement?
• If statement, If-else statement
• If-elif-else statement
• Nested If-else statement
• Python Loops: while loop, for loop
• Nested loops
• Infinite loop
• Break, Continue, and Pass statements
• Unsupportable Switch Statement

5. Python Built-in and User-defined Functions

• What is a function in Python?
• Types of functions:
  • Built-in functions
  • User defined function
• Calling a function in Python
• Function arguments
• Pass by value and Pass by reference in Python
• Return keyword, return statement
• Void function
• Variable scope
• Global keyword
• Lambda function
• Recursion in Python

6. Working with Mutable and Immutable Data types

• What is mutable and immutable data types in Python?
• Strings
  • What are strings?
  • Accessing string elements
  • String properties
  • String operations
  • String functions and methods
  • String constants
  • Regular expression
• Lists
  • What are lists?
  • Accessing list elements
  • Basic list operations
  • List methods
  • List varieties
• Tuples
  • What are tuples?
  • More ways to create tuples
  • Accessing tuple elements
  • Tuple operations
  • Tuple varieties
• Sets
  • What are sets?
  • Accessing set elements
  • Set operations
  • Set methods
  • Mathematical set operations
  • Updating set operations
• Dictionaries
  • What are dictionaries?
  • Accessing dictionary elements
  • Dictionary operations
  • Dictionary methods
  • Nested dictionary

7. Comprehensions

• What are comprehensions?
• List comprehension
• Set comprehension
• Dictionary comprehension

8. Modules and Packages

• Main module
• Multiple modules
• Importing a module
• Variation of import
• Search sequence
• Packages
• Thrid-party packages

9. Object-Oriented Programming (OOP) in Python

• What are classes and objects?
• Public and private members
• Class declaration and object creation
• Object initialization
• The self Parameter
• Constructors (__init__ method)
• Class variables and methods
• vars() and dir() functions
• vars() and dir() with classes and objects

10. Intricacies of Classes and Objects

• Identifier naming convention
• Calling functions and methods
• Operator overloading
• Which operators to overload
• Everything is an object
• Type conversion

11. Containership and Inheritance

• Containership
• Inheritance
• What is accessible where?
• isinstance() and issubclass() functions
• The object class
• Features of inheritance
• Types of inheritance
• Diamond problem
• Encapsulation
• Abstract classes
• Interfaces
• Polymorphism
• Method overloading
• Method overriding

Advanced Python Syllabus and Topics

Advanced Python syllabus includes advanced Python topics that go beyond basic and intermediate levels. It covers complex programming concepts, such as exception handling, File I/O, multi-threading, synchronization, etc. Here is a detailed Advanced Python syllabus:

12. Iterators and Generators

• Iterables and Iterators
• zip() function
• Iterators
• User-defined Iterators
• Generators
• Which to use and when?
• Generator expressions

13. Exception Handling

• Syntax errors
• Exceptions
• How to deal with Exceptions?
• How to use try – except?
• Nuances of try and except
• User-defined exceptions
• Else block
• Finally block

14. File Input/Output

• I/O System
• File I/O
• Read and write operations
• File opening modes
• with keyword
• Moving within a file
• Serialization and Deserialization
• Serialization of user-defined types
• File and Directory operations

15. Multithreading

• Types of concurrencies
• Types of multi-threading
• When to use concurrency?
• Thread properties
• Launching threads
• Passing parameters to thread

16. Synchronization

• What is synchronization in Python?
• Example of sharing resources
• Example of communication between threads
• Mechanism for sharing resources
• Lock
• RLock
• Semaphore
• Mechanism for inter-thread communication
• Event
• Condition

17. Miscellany

• Command-line arguments
• Parsing of command line
• Bitwise operators
• Assertion
• Decorators
• Decorating functions with arguments
• Unicode
• bytes Data type

18. Web Development using Django/Flask

• Introduction to Django and Flask
• Setting up a Web Project
• Creating Routes and Views
• Working with Templates and Static Files
• Database Integration with Django ORM
• User Authentication and Authorization

19. GUI Programming using Tkinter

• Creating Windows and Widgets
• Handling Events and Button Clicks
• Menu Bars and Forms
• Working with Frames and Layouts

20. Data Science and Machine Learning with Python

• Data Analysis
  • Introduction to NumPy and Pandas
  • Data manipulation and cleaning
  • Data visualization with Matplotlib and Seaborn
• Machine Learning
  • Introduction to Scikit-learn
  • Supervised and unsupervised learning
  • Building and evaluating models
• Introduction to Deep Learning
  • Basics of TensorFlow and Keras
  • Building neural networks

21. Testing and Debugging in Python

• Writing Unit Tests using unittest module
• Debugging Techniques and Tools
• Logging in Python (logging Module)
• Performance Optimization in Python

22. Deploying Python Applications

• Introduction to Deployment
• Hosting Python Applications on Cloud Platforms
• Deploying Flask/Django Apps on AWS/GCP/Heroku
• Using Docker and Kubernetes for Python Projects

23. Capstone Projects & Real-world Applications

• Mini Project 1: To-Do List Application (GUI or Web)
• Mini Project 2: Weather App using APIs
• Mini Project 3: Web Scraper for Data Extraction
• Mini Project 4: Automating Excel Reports using Pandas
• Major Project: AI-based Chatbot using NLP
• Major Project: Full-Stack Web App using Django

This Python syllabus presents an intuitive to the concepts of Python programming for students. If you are a beginner or professional and want to learn Python programming, you came at right place to learn. Follow this Python syllabus and understand contents of each tutorial one by one and practice all example programs step by step in each tutorial.
Thanks for reading!!!