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Python

Python

Python

Course Description

Python Course Syllabus 2025 at Dzire Infotech, Lar & Deoria

Python Course Syllabus 2025 at Dzire Infotech, Lar & Deoria

Unlock the power of Python with Dzire Infotech, the leading computer training institute in Lar and Deoria, Uttar Pradesh! Our Python Programming Course for 2025 is designed for beginners and aspiring programmers, covering basic to advanced topics. Join our job-oriented training to master Python and kickstart your career in data science, web development, or automation. Enroll now at our Lar or Deoria centers!

Python Course Syllabus Overview

This 3-month course is structured into 10 modules, progressing from foundational to advanced Python concepts. Each module includes practical examples, hands-on exercises, and projects to ensure students in Lar and Deoria can easily understand and apply their skills. Classes are offered in flexible batches (morning, evening, weekend) with expert instructors.

Module 1: Introduction to Python (1 Week)

Objective

Understand Python basics and set up the development environment.

Topics

  • What is Python? Its uses in data science, AI, and web development
  • Installing Python and IDLE/PyCharm
  • Variables and Data Types (int, float, string, boolean)
  • Basic Input/Output with print() and input()

Example

# Print a greetingname = input("Enter your name: ")print("Hello, " + name + "!")# Output: Hello, Rahul!

Module 2: Control Structures (2 Weeks)

Objective

Learn to control program flow using conditionals and loops.

Topics

  • Conditionals: if, elif, else
  • Loops: for and while
  • Loop Control: break, continue, pass

Example

# Check age categoryage = int(input("Enter your age: "))if age >= 18:    print("Adult")elif age >= 13:    print("Teenager")else:    print("Child")# Output for age=20: Adult

Module 3: Data Structures (3 Weeks)

Objective

Master Python’s built-in data structures for efficient data handling.

Topics

  • Lists: Creation, indexing, slicing, methods
  • Tuples: Immutability and uses
  • Sets: Unique elements and operations
  • Dictionaries: Key-value pairs and methods
  • List Comprehensions

Example

# List and dictionary operationsfruits = ["apple", "banana"]fruits.append("orange")print(fruits)  # Output: ['apple', 'banana', 'orange']student = {"name": "Rahul", "age": 20}print(student["name"])  # Output: Rahul

Module 4: Functions (2 Weeks)

Objective

Write reusable code using functions.

Topics

  • Defining functions with def
  • Parameters and return statements
  • Default and keyword arguments
  • Lambda functions
  • Scope: Global vs. local variables

Example

# Define a functiondef square(num):    return num * numprint(square(5))  # Output: 25

Module 5: File Handling (1 Week)

Objective

Learn to read from and write to files.

Topics

  • Opening and closing files with open()
  • Reading and writing text files
  • Working with CSV files

Example

# Write and read a filewith open("example.txt", "w") as file:    file.write("Welcome to Python!")with open("example.txt", "r") as file:    print(file.read())  # Output: Welcome to Python!

Module 6: Object-Oriented Programming (OOP) (3 Weeks)

Objective

Implement OOP concepts for modular programming.

Topics

  • Classes and objects
  • Methods and __init__ constructor
  • Inheritance and polymorphism
  • Encapsulation and data hiding

Example

# Define a classclass Student:    def __init__(self, name, age):        self.name = name        self.age = age    def introduce(self):        return f"I am {self.name}, {self.age} years old."s = Student("Rahul", 20)print(s.introduce())  # Output: I am Rahul, 20 years old.

Module 7: Modules and Packages (1 Week)

Objective

Use Python’s modular structure and libraries.

Topics

  • Importing built-in modules (math, random, datetime)
  • Creating custom modules
  • Installing and using external packages (e.g., numpy)

Example

# Use random moduleimport randomprint(random.randint(1, 10))  # Output: Random number between 1 and 10
=@

Module 8: Exception Handling (1 Week)

Objective

Handle errors gracefully in Python programs.

Topics

  • try, except, finally blocks
  • Raising custom exceptions
  • Common exceptions (e.g., ZeroDivisionError)

Example

# Handle division errortry:    result = 10 / 0except ZeroDivisionError:    print("Cannot divide by zero!")# Output: Cannot divide by zero!

Module 9: Advanced Topics (3 Weeks)

Objective

Explore advanced Python concepts for real-world applications.

Topics

  • Regular Expressions (re module)
  • Decorators for function enhancement
  • Generators for memory-efficient iteration
  • Multithreading basics
  • Introduction to APIs (using requests)

Example

# Validate email with regeximport reemail = "example@email.com"if re.match(r"\b\w+@\w+\.\w+\b", email):    print("Valid email")else:    print("Invalid email")# Output: Valid email

Module 10: Capstone Project (2 Weeks)

Objective

Apply learned concepts to build a functional Python application.

Topics

  • Project planning and design
  • Sample projects: To-Do List, Calculator, Simple Web Scraper
  • Presenting and documenting projects

Example

# Simple To-Do Listclass ToDoList:    def __init__(self):        self.tasks = []    def add_task(self, task):        self.tasks.append(task)        print(f"Task '{task}' added.")    def view_tasks(self):        for i, task in enumerate(self.tasks, 1):            print(f"{i}. {task}")todo = ToDoList()todo.add_task("Study Python")todo.view_tasks()# Output:# Task 'Study Python' added.# 1. Study Python

Why Choose Dzire Infotech?

  • Expert Faculty: Learn from industry professionals in Lar and Deoria.
  • Practical Learning: Hands-on labs and real-world projects.
  • Job-Oriented: Prepare for careers in data science, web development, and more.
  • Flexible Schedule: Morning, evening, and weekend batches.
  • Certification: Earn a recognized Python certificate.

Enroll Now!

Join Dzire Infotech’s Python course in Lar or Deoria and become a skilled programmer in 2025! Limited seats available. Contact us today to secure your spot and start your tech journey.

Enroll Now

Contact Us

Dzire Infotech, Lar: Purana Halima School, Chhapra Lar, Uttar Pradesh 274502

Dzire Infotech, Deoria: Near Opp. Govt ITI, Deoria, Uttar Pradesh 274001

Phone: +91- 9026187944

Email: info@dzireinfotech.co.in

Website: dzireinfotech.co.in

Course Syllabus

Python Course Syllabus Overview This 3-month course is structured into 10 modules, progressing from foundational to advanced Python concepts. Each module includes practical examples, hands-on exercises, and projects to ensure students in Lar and Deoria can easily understand and apply their skills. Classes are offered in flexible batches (morning, evening, weekend) with expert instructors. Module 1: Introduction to Python (1 Week) Objective Understand Python basics and set up the development environment. Topics What is Python? Its uses in data science, AI, and web development Installing Python and IDLE/PyCharm Variables and Data Types (int, float, string, boolean) Basic Input/Output with print() and input() Example # Print a greetingname = input("Enter your name: ")print("Hello, " + name + "!")# Output: Hello, Rahul! Module 2: Control Structures (2 Weeks) Objective Learn to control program flow using conditionals and loops. Topics Conditionals: if, elif, else Loops: for and while Loop Control: break, continue, pass Example # Check age categoryage = int(input("Enter your age: "))if age >= 18: print("Adult")elif age >= 13: print("Teenager")else: print("Child")# Output for age=20: Adult Module 3: Data Structures (3 Weeks) Objective Master Python’s built-in data structures for efficient data handling. Topics Lists: Creation, indexing, slicing, methods Tuples: Immutability and uses Sets: Unique elements and operations Dictionaries: Key-value pairs and methods List Comprehensions Example # List and dictionary operationsfruits = ["apple", "banana"]fruits.append("orange")print(fruits) # Output: ['apple', 'banana', 'orange']student = {"name": "Rahul", "age": 20}print(student["name"]) # Output: Rahul Module 4: Functions (2 Weeks) Objective Write reusable code using functions. Topics Defining functions with def Parameters and return statements Default and keyword arguments Lambda functions Scope: Global vs. local variables Example # Define a functiondef square(num): return num * numprint(square(5)) # Output: 25 Module 5: File Handling (1 Week) Objective Learn to read from and write to files. Topics Opening and closing files with open() Reading and writing text files Working with CSV files Example # Write and read a filewith open("example.txt", "w") as file: file.write("Welcome to Python!")with open("example.txt", "r") as file: print(file.read()) # Output: Welcome to Python! Module 6: Object-Oriented Programming (OOP) (3 Weeks) Objective Implement OOP concepts for modular programming. Topics Classes and objects Methods and __init__ constructor Inheritance and polymorphism Encapsulation and data hiding Example # Define a classclass Student: def __init__(self, name, age): self.name = name self.age = age def introduce(self): return f"I am {self.name}, {self.age} years old."s = Student("Rahul", 20)print(s.introduce()) # Output: I am Rahul, 20 years old. Module 7: Modules and Packages (1 Week) Objective Use Python’s modular structure and libraries. Topics Importing built-in modules (math, random, datetime) Creating custom modules Installing and using external packages (e.g., numpy) Example # Use random moduleimport randomprint(random.randint(1, 10)) # Output: Random number between 1 and 10 =@ Module 8: Exception Handling (1 Week) Objective Handle errors gracefully in Python programs. Topics try, except, finally blocks Raising custom exceptions Common exceptions (e.g., ZeroDivisionError) Example # Handle division errortry: result = 10 / 0except ZeroDivisionError: print("Cannot divide by zero!")# Output: Cannot divide by zero! Module 9: Advanced Topics (3 Weeks) Objective Explore advanced Python concepts for real-world applications. Topics Regular Expressions (re module) Decorators for function enhancement Generators for memory-efficient iteration Multithreading basics Introduction to APIs (using requests) Example # Validate email with regeximport reemail = "example@email.com"if re.match(r"\b\w+@\w+\.\w+\b", email): print("Valid email")else: print("Invalid email")# Output: Valid email Module 10: Capstone Project (2 Weeks) Objective Apply learned concepts to build a functional Python application. Topics Project planning and design Sample projects: To-Do List, Calculator, Simple Web Scraper Presenting and documenting projects Example # Simple To-Do Listclass ToDoList: def __init__(self): self.tasks = [] def add_task(self, task): self.tasks.append(task) print(f"Task '{task}' added.") def view_tasks(self): for i, task in enumerate(self.tasks, 1): print(f"{i}. {task}")todo = ToDoList()todo.add_task("Study Python")todo.view_tasks()# Output:# Task 'Study Python' added.# 1. Study Python


Duration: 3 Months
(10 Reviews)

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