Python is a programming language which is used for general-purpose, high-level, interpreted, interactive, object-oriented, open-source and is mostly suitable for Software Development. The syllabus for Python is vast covering areas such as Python Language Fundamentals, Python Programming Environment setup, and Python Object-Oriented Programming.
Python courses at class 11 and 12 is covered under the subject Computer Science; covering areas such as Working with Functions, Python Libraries, File Handling, Recursion, Idea of Efficiency, Data Structures, Computer Networks and Devices, Network Stack, Tools, Protocols, Application Layers, SQL Commands and Interface Python with mySQL.
Django is one of the most popular and high level Python web frameworks while Python for Data Science and Python Full Stack Developer courses are among the popular Python courses. Moreover, Python Programming is the most important part in learning Python. You can check out the details of the syllabus for various Python courses.Check- Python Courses on Udemy
All About Python Course Syllabus
- Python covers a vast area of expertise such as Introduction to Python and Computer Programming, Data Types, Variables, Basic Operators, Boolean Values, Conditional Execution, Loops, Lists and many more.
- Python Programming is an important part while learning Python. Some of the topics covered are Introduction to Python Language, Python Language Syntax, Python Keywords and Identifiers, Python Variables, Data Types, Operators, etc.
- Django, a high-level Python web framework that is used for rapid development of secure and maintainable websites, covers Python scripts, file operations in Python, Database, Views, Python Object Oriented Programming, etc.
- Python for Data Science requires knowledge of Python Programming and is opted by many.
Python Course Subjects
The full syllabus for Python is vast. It covers various topics such as Introduction to Python, Control Statements, List, Ranges & Tuples in Python, Python Dictionaries and Sets, etc. The list of topics for Python Courses is given below in the table.
| Introduction to Python | Control Statements |
| List, Ranges & Tuples in Python | Python Dictionaries and Sets |
| Input and Output in Python | Python built in function |
| Python Object Oriented | Exceptions |
| Python Regular Expressions | Python Multithreaded Programming |
| Using Databases in Python | Regular Expression |
| Thread Essentials | Web Scraping in Python |
| Data Science Using Python | Graphical User Interface |
| Django Web Framework in Python | - |
Python Syllabus for Beginners
Python IDE/Editor Installation, Python Variables, Arithmetic Operators, Comparison Operator, Assignment Operator, Membership Operator, etc are some of the topics for beginners in Python. The detailed Python Syllabus for Beginners. The detailed syllabus for Python for Beginners is listed in the table below.
| Python IDE/Editor Installation | Python Variables |
| Arithmetic Operators | Comparison Operator |
| Assignment Operator | Membership Operator |
| If Statement | If Else Statement |
| Break & Continue Statement | Exception |
| File Operation | Python Built-in Modules |
| Packages in Python | Python Date and Time |
| Python Regular Expressions (RegEx) | Python XML Parser |
| Python Database Communication | Web Scrapping |
| GUI Programming-Tkinter | - |
Core Python Syllabus
Core Python covers topics such as Introduction of Python, Installing Python IDES: Python IDLE and Anaconda, Data-types in Python, Variables in Python, Typecasting in Python, etc. You can check out the list of topics in Core Python Syllabus in the table below.
| Core Python | Introduction of Python |
| Installing Python IDES - Python IDLE and Anaconda | Data-types in Python |
| Variables in Python: Declaration and Use | Typecasting in Python |
| Operators in Python: Assignment, Logical, Arithmetic | Taking User Input |
| Conditional Statements: If else and Nested, If else and elif | Python Collections: List, Tuple, Sets and Dictionary |
| Loops in Python: For Loop, While Loop and Nested Loops | String Manipulation: Basic Operations, Slicing, Functions and Methods |
| User Defined Functions, Types of Functions | Lambda Function |
| Importing Modules: Maths Module | Object Oriented Programming in Python |
Advanced Python Syllabus
Some of the topics for Advance Python Syllabus include Iterators for Dictionaries, keys() and values(), The 'in' Operator, Building Lists, List Comprehension Syntax, etc. You can check out the list of detailed topics for advanced Python Syllabus below.
| Iterators for Dictionaries | keys() and values() |
| The 'in' Operator | Building Lists |
| List Comprehension Syntax | List Slicing Syntax |
| Omitting Indices | Reversing a List |
| Stride Length | Reversing a List |
| Stride Length | Anonymous Functions |
| Lambda Syntax | Iterating Over Dictionaries |
| Comprehending Comprehensions | List Slicing |
| Lambda Expressions | - |
O level Python Syllabus
The syllabus for O level Python is given below in the table.
| Introduction to Programming | Algorithms and Flowcharts to Solve Problems |
| Introduction to Python | Operators, Expressions and Python Statements |
| Sequence Data Types | Functions |
| File Processing | Scope and Modules |
| NumPy Basics | - |
Django Syllabus
Django is a high-level Python web framework which is used for rapid development in order to secure and maintainable websites. The table below gives the lists of topics covered under Django Syllabus.
| Introduction to Python | Sequences and File Operations |
| Functions, Sorting, Errors and Exception, Regular Expressions and Packages | Object Oriented Programming in Python |
| Debugging, Databases and Project Skeletons | Introduction to Django Web Framework |
| Templates and Forms | Models and Dynamic Webpages |
| Serialization | Parsing XML and JSON with Python |
Class 12 Python Syllabus
Python in Class 12 is covered under the subject of Computer Science. The syllabus for Python slightly differs from the previous year syllabus and is given below in the table.
| Revision of Python | ||
|---|---|---|
| Revision of Class XI Python topics | - | |
| Working with Functions | ||
| Functions: Types Of Function | Creating User-defined Function | |
| Arguments And Parameters; default parameters, positional parameters | Function Returning Value(s) | |
| Flow Of Execution | Scope Of A Variable | |
| Python Libraries | ||
| Python Libraries | Creating Python Libraries | |
| File Handling | ||
| Introduction to files and types of files (Text, Binary and CSV file) | Relative And Absolute Paths | |
| Text file: Opening, Modes (r, r+, w, w+, a, a+) | Closing And Opening A File With Clause | |
| Writing/ Appending Data using write() and writelines() | Reading Text File Using read(), readline() and readlines() | |
| Seek And Tell Methods | Manipulation Of Data | |
| Binary file: basic operations | Open Using File Open Modes | |
| Close A Binary File | Import Pickle Module | |
| dump() and load() method | Append And Update Operations | |
| CSV file: import csv module, open/ close, write | Read From A Csv File Using csv.reader( ) | |
| Recursion | ||
| Recursion: simple programs | Sum Of First n natural numbers | |
| Factorial | Fibonacci series | |
| Idea of Efficiency | ||
| Idea of efficiency | Comparisons; Best, Worst and Average case for linear search | - |
| Data Structures | ||
| Data Structure: Stack and operations | Implementation Of Stack Using List | |
| Introduction To Queue | Operations On Queue | |
| Implementation Of Queue Using List | - | |
| Computer Networks and Devices | ||
| Evolution of networking: Introduction to computer networks and evolution (ARPANET, NSFNET & INTERNET) | Data Communication Terminologies: Concept, Components, Measuring Capacity, IP address, Switching techniques | |
| Transmission media: Wired communication media, Wireless media | Network devices | |
| Network Stack, Tools, Protocols & Application Layers | ||
| Network Topologies | Network types: types of networks | |
| Network Protocol and Wireless/mobile Communication Protocol | Mobile Telecommunication Technologies | |
| Introduction To Web Services | Web Browser, web Servers, Web Hosting | |
| SQL Commands | ||
| Database concepts: introduction and its need | Relational Data Model: relation, attribute, tuple, domain, degree, cardinality and keys | |
| Structured Query Language: introduction | Data Definition Language and Data Manipulation Language | |
| Data Type | Create, Use and Show and Drop database | |
| Show, Create, Describe, Alter and Drop Table | Insert, Delete, Select, Operators | |
| Aliasing, Distinct Clause, Where Clause | Meaning Of Null, Like, Update Command, Delete Command, Aggregate Functions | |
| Joins: Cartesian Product On Two Tables | Equi-join And Natural Join | |
| Interface Python with mySQL | ||
| Interface of python with an SQL database | Connecting SQL with Python | |
| Performing Insert, Update, Delete Queries using Cursor | Display Data By Using fetchone(), fetchall() | |
| Rowcount, Creating Database | Connectivity applications | |
Python for Data Science Syllabus
Python for Data Science Syllabus is vast and among them Programming with Python is an important aspect. The detailed Syllabus for Python for Data Science is given below in the table.
| Introduction Spyder | Setting working Directory |
| Creating and saving a script file | File execution, clearing console |
| Removing Variables From Environment | Clearing Environment |
| Commenting script files | Variable creation |
| Arithmetic and logical operators | Data types and associated operations |
| Sequence data types and associated operations | NumPy |
| Pandas and data frame operations on Toyota Corolla dataset | Data visualization on Toyota Corolla dataset; matplotlib, seaborn libraries |
| Control structures using Toyota Corolla dataset | Functions |
| Regression | Classification |
Python Full Stack Developer Course
Python full stack developer is an open-source programming language, which has numerous applications. The syllabus for Python for Full Stack Developer is given in detail in the table below.
| Introduction | |
|---|---|
| Learning Programming | Python Community |
| Development Environments | |
| Text Editors and IDEs | Shells |
| Terminal multiplexers | Environment configuration |
| Source Control | - |
| Data | |
| Relational databases | Object-relational mappers |
| NoSQL | Data analysis |
| Data visualization | Markup Languages |
| Web Development | |
| Web Frameworks | Template Engines |
| Web design | CSS Frameworks |
| JavaScript | Task queues |
| Static site generators | Testing |
| Networking | Web APIs |
| API creation | API integration |
| Web application security | - |
| Web App Deployment | |
| Hosting | Virtual Private Servers (VPSs) |
| Platform-as-a-Service | Operating systems |
| Web servers | WSGI servers |
| Continuous integration | Configuration management |
| Containers | Serverless Architectures |
| DevOps | |
| Monitoring | Web App Performance |
Python Course Syllabus: FAQs
Ques. What is the syllabus of Python?
Ans. The syllabus for Python is vast, here are some of the topics for Python.
- Introduction to Python
- Control Statements
- List, Ranges & Tuples in Python
- Python Dictionaries and Sets
- Input and Output in Python
- Python built in function
- Python Object Oriented
- Exceptions
- Python Regular Expressions
- Python Multithreaded Programming
Ques. What should beginners learn in Python?
Ans. Some of the topics for beginners in Python are as follows:
- Basics of Python programming
- Object-oriented Programming
- Basic Python syntax
- Data types
- Loops
- Variables
- Functions.
Ques. What is data science with Python syllabus?
Ans. Some of the important topics for Python for Data Science are as below:
- Introduction Spyder
- Setting working Directory
- Creating and saving a script file
- File execution, clearing console
- Removing Variables From Environment
- Clearing Environment
- Python programming
- NumPy
Ques. What is the basic syllabus for Python?
Ans. Some of the basic topics for Python include Python Object Oriented Programming, Constructors, Inheritance, Polymorphism, Abstraction, interfaces, and Encapsulation, Control Statements, List, Ranges & Tuples in Python, Python Dictionaries and Sets, etc.
Ques. What is python used for?
Ans. The common uses of Python include developing websites, software, task automation, data analysis as well as data visualisation.
Ques. What is a syntax Python?
Ans. It is the set of rules defining how to write and interpret a Python program.
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