Core Python Syllabus in Chennai at Payilagam

Core Python Essentials for Java Developers

Module 1: Python Introduction, Installation

🔹 Python Introduction
🔹 Download Python
🔹 Installing Python
🔹 Verify the Installation
🔹 Install a Text Editor or IDE (Optional)

Module 2: Data Types

In Python, there are several built-in data types used to represent different kinds of values. Here are some of the fundamental data types.

🔹 Numeric Types
🔹 Text Type
🔹 Sequence Types
🔹 Set Types
🔹 Mapping Type
🔹 Boolean Type
🔹 None Type

Module 3: Operators

In Python, operators are symbols or keywords that perform operations on operands, which can be variables, values, or expressions. Here are some common types of operators.

🔹 Arithmetic Operators
🔹 Comparison Operators
🔹 Logical Operators
🔹 Assignment Operators
🔹 Membership Operators
🔹 Identity Operators
🔹 Bitwise Operators

Module 4: Flow Control Statements

In Python, flow control statements are used to manage the flow of execution in a program. They enable you to make decisions, create loops, and determine the order in which statements are executed. Here are the main flow control statements in Python.

🔹 Conditional Statements
🔹 Looping Statements
🔹 Control Statements
🔹 Exception Handling
🔹 Pass Statement

Module 5: List

In Python, a list is a versatile and widely used data type that represents an ordered, mutable collection of elements. Lists can contain elements of different data types, and you can easily modify, add, or remove elements from a list. Lists are created using square brackets [ ]. Here’s an overview of working with lists

🔹 Creating a List
🔹 Accessing Elements
🔹 Slicing
🔹 Modifying Elements
🔹 Adding Elements
🔹 Removing Elements
🔹 Sorting: Bubble Sort
🔹 Searching: Binary Search

Once these modules have been completed, our trainees will be able to do the mini project: STUDENT MANAGEMENT SYSTEM on their own.

Module 6: Tuple

In Python, a tuple is another sequence data type that is similar to a list. However, unlike lists, tuples are immutable, meaning their elements cannot be changed or modified after the tuple is created. Tuples are created using parentheses ( ) and can contain elements of different data types. Here’s an overview of working with tuples:

🔹 Creating a Tuple
🔹 Accessing Elements
🔹 Slicing
🔹 Tuple Packing and Unpacking
🔹 Immutable Nature

Once these modules have been completed, our trainees will be able to do the mini project: FIND HIGHEST SCORER, COORDINATE DISTANCE CALCULATOR, CAFE MENU ORDER APP on their own.

Module 7: Set

In Python, a set is an unordered and mutable collection of unique elements. Sets are used to store multiple items in a single variable and are defined by enclosing the elements in curly braces { }. Here’s an overview of working with sets

🔹 Set Operations
🔹 Creating a Set
🔹 Accessing Elements
🔹 Adding Elements
🔹 Removing Elements
🔹 Other Set Operations

Once these modules have been completed, our trainees will be able to do the mini project: Duplicate Finder, Unique Words from a book, and Students Attendance Tracker on their own.

Dictionary

In Python, a dictionary is an unordered and mutable collection of key-value pairs. Dictionaries are defined using curly braces { } and consist of keys and their associated values separated by colons. Each key in a dictionary must be unique. Here’s an overview of working with dictionaries

🔹 Creating a Dictionary
🔹 Accessing Values
🔹 Modifying Values
🔹 Adding New Key-Value Pairs
🔹 Removing Key-Value Pairs
🔹 Dictionary Operations
🔹 Nested Dictionaries

Once these modules have been completed, our trainees will be able to do the mini project: SIMPLE PHONE BOOK, STUDENT MARKS RECORD, and GROCERY PRICE CALCULATOR on their own.

Module 8: Functions

Function Definition

🔹 Function Call
🔹 Return Statement
🔹 Types of Parameters – Default Parameters, Variable Length Arguments
🔹 Variable-Length Argument Lists
🔹 Lambda Functions
🔹 Recursion

Module 9: Package

In Python, a package is a way of organizing related modules into a single directory hierarchy. It provides a mechanism for organizing large codebases and avoids naming conflicts between modules. A package is essentially a directory that contains a special file called init.py, which can be empty or contain Python code. This file is executed when the package is imported.

🔹 Creating a Package
🔹 Importing Modules from a Package
🔹 Importing the Whole Package
🔹 Subpackages

Module 10: Python: OOPs Introduction

In Python Object-Oriented Programming (OOP) is a programming paradigm that uses objectscollections of data and methods that operate on that data-to design and organize code. Python is an object-oriented programming language that supports the core principles of OOP. Here’s an introduction to OOP concepts in Python

🔹 Class
🔹 Object
🔹 Attributes and Methods
🔹 Encapsulation
🔹 Inheritance
🔹 Polymorphism
🔹 Abstraction

Module 11: Types of Methods:

In object-oriented programming (OOP), methods are functions that are associated with objects. They define the behavior of the objects and how they interact with each other. In Python, there are several types of methods, each serving a different purpose. Here are the main types of methods in Python

🔹 Instance Methods
🔹 Class Methods
🔹 Static Methods
🔹 Special Methods (Magic Methods or Dunder Methods)

Module 12: Exception Handling

Exception handling in Python allows you to handle runtime errors gracefully, preventing your program from crashing and providing a way to recover from unexpected situations. Python uses a try-except block to catch and handle exceptions. Here’s an overview of exception handling in Python.

🔹 Try-Except Block
🔹 Handling Specific Exceptions
🔹 Else and Finally Blocks
🔹 Raising Exceptions
🔹 Custom Exceptions

Module 13: File Handling

File handling in Python allows you to work with files on your computer. You can read from and write to files using various methods and modes. Here’s a basic overview of file handling in Python:

🔹 Opening a File
🔹 Reading from a File
🔹 Writing from a File
🔹 Appending to a File
🔹 Using with Statements
🔹 File Modes
🔹 Exception Handling for File Operations
🔹 Working with Paths

Once these modules have been completed, our trainees will be able to do the mini project: Simple Notepad, Student Record System, and TO DO using File on their own.

Module 14: Regular Expression

Regular expressions (regex or regexp) are sequences of characters that define a search pattern. They are used for pattern matching within strings, making them a powerful tool for text processing and manipulation. Here’s a brief overview of common regular expression concepts and usage in Python

🔹 Basics of Regular Expressions
🔹 Using Regular Expressions in Python

Once these modules have been completed, our trainees will be able to do the mini project: Email Validator, Mobile Number Extractor, Password Validator, Date Extractor, Username Extractor from Email, and HTML Tag Remover using a file on their own.

Module 15: Multithreading

Multithreading in Python allows you to execute multiple threads (smaller units of a process) concurrently, improving the performance of certain types of programs. However, due to the Global Interpreter Lock (GIL) in CPython, the benefits of multithreading for CPU-bound tasks are limited. Multithreading is more effective for I/O-bound tasks where threads can wait for I/O operations to complete.