Python Programming

Popular high-level programming language Python is renowned for its straightforward syntax and adaptability. It is employed in many different disciplines, including data science, artificial intelligence, and web development.

The Python syllabus covers fundamental programming concepts such as variables and data types, operators and expressions, control structures, functions and modules, lists, dictionaries, and strings, as well as advanced topics like exception handling, object-oriented programming, regular expressions, working with databases, GUI programming, multi-threading, and projects to apply learned concepts.

The syllabus provides a comprehensive understanding of the Python programming language and its various applications, preparing learners for real-world development projects in various domains such as web development, scientific computing, machine learning, data analysis, and more.

Here's a more detailed syllabus for a comprehensive Python programming course:

• Introduction to Python programming:
• Overview of Python programming language
• Installing and setting up the development environment
• Writing and executing the first Python program
• Basic data types and data structures
• Variables and data types:
• Understanding variables and their scope
• Numeric, string, and boolean data types
• Working with complex data types like lists, tuples, dictionaries, and sets
• Operators and expressions:
• Basic arithmetic, relational, and logical operators
• Operators for working with strings and lists
• Bitwise and membership operators
• Precedence and associativity of operators
• Control structures (if, for, while loops):
• Conditional statements (if, else, elif)
• Loops (for, while)
• Nested loops and conditional statements
• Using control structures with lists, dictionaries, and other data structures
• Functions and modules:
• Defining and calling functions
• Function arguments and return values
• Understanding scoping rules for functions
• Creating and using modules
• Importing and using standard library modules
• Lists and tuples:
• Creating and accessing lists and tuples
• Modifying and manipulating lists and tuples
• Understanding the difference between lists and tuples
• Dictionaries and sets:
• Creating and accessing dictionaries and sets
• Modifying and manipulating dictionaries and sets
• Using dictionaries and sets for data storage and retrieval
• Strings:
• Creating and accessing strings
• Modifying and manipulating strings
• Formatting strings
• Working with string methods and functions
• File input/output:
• Understanding the basics of file input/output
• Opening, reading, writing, and closing files
• Using the "with" statement for file input/output
• Understanding exceptions and error handling in file input/output
• Exception handling:
• Understanding exceptions and errors in Python
• Using try, except, and finally statements
• Raising exceptions
• Catching specific exceptions and handling them appropriately
• Object-Oriented Programming (OOP) concepts such as classes, objects, inheritance, and polymorphism:
• Understanding OOP concepts in Python
• Defining classes and creating objects
• Inheritance and polymorphism
• Using built-in classes and creating custom classes
• Working with databases:
• Understanding databases and SQL
• Connecting to databases using Python
• Executing SQL queries using Python
• Using the SQLite database for Python development
• GUI programming
• Understanding GUI programming in Python
• Using Tkinter for GUI development
• Creating buttons, labels, entry fields, and other GUI widgets
• Event-driven programming in GUI applications
• Projects to apply learned concepts:
• Working on practical projects to apply the concepts learned in the course
• Implementing projects that involve data processing, file I/O, GUI development, database programming, and more.
• This syllabus is designed to provide a comprehensive introduction to Python programming and help learners develop practical skills in the language.