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Python Development

  • 1.6 rating
  • (4 Reviews)
  • 79 students enrolled

Python Development

Carve A Bright Future by Enrolling in Python Programming Languages Classes in Nanded.

  • 1.6 rating
  • (4 Reviews)
  • 79 students enrolled
  • ₹9999.00
  • ₹15000.00
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Swapnil Jadhav
Users Enrolled 43

What learn

  • https://drive.google.com/drive/folders/1RashKhZC-qyxKddCoxksewzaeSJRjU5J?usp=sharing

Course Content

1 sections • 10 lectures •
Introduction to Python
-Introduction to Python and its applications -Setting up the Python environment -Writing and running your first Python script -Basic syntax, variables, and data types
mb
Control Structures
-Conditional statements (if, elif, else) -Loops (for, while) -List comprehensions
mb
Functions and Modules
-Defining and calling functions -Function arguments and return values -Importing and using modules
mb
Data Structures
-Creating and manipulating lists and tuples -List methods and tuple operations -Nested lists and list comprehensions
mb
Dictionaries and Sets
-Creating and using dictionaries -Dictionary methods -Working with sets and set operations
mb
Strings and File I/O
-String manipulation and methods -Reading from and writing to files -File handling techniques
mb
Classes and Objects
-Introduction to OOP concepts -Defining classes and creating objects -Instance variables and methods
mb
Inheritance and Polymorphism
-Inheritance in Python -Method overriding and polymorphism -Super() function
mb
Advanced OOP Concepts
-Encapsulation and abstraction -Class and static methods -Special methods and operator overloading
mb
Error Handling and Exceptions
-Understanding exceptions -Try, except, finally blocks -Custom exceptions
mb

Requirements

  • To start coding, ensure you have basic computer skills, including software installation and file management. Installation of interpreter and a text editor or IDE like VS Code. Familiarize yourself with basic programming concepts such as variables, control structures, and functions. Utilize online tutorials, documentation, and practice exercises to build your skills. Joining coding communities can
    + See More     provide support and additional learning resources.
    - See Less

Description

 

Complete  Java Development Syllabus from DWANI

 1.Introduction to Python

  • Python installation and setup
  • Basic syntax, variables, and data types (strings, integers, floats)
  • Input/output handling
  • Comments and documentation

 

  1. Control Flow
  • Conditionals (if, elif, else)
  • Loops (for, while)
  • Break, continue, and pass statements

 

  1. Functions
  • Defining and calling functions
  • Arguments and return values
  • Scope of variables (local vs. global)
  • Lambda functions and higher-order functions

 

  1. Data Structures
  • Lists, tuples, and sets
  • Dictionaries and their operations
  • List comprehensions

 

  1. Object-Oriented Programming (OOP)
  • Classes and objects
  • Methods and attributes
  • Inheritance and polymorphism
  • Encapsulation and abstraction

 

  1. Error Handling
  • Try, except, and finally blocks
  • Handling different types of exceptions
  • Custom exceptions

 

  1. Modules and Packages
  • Importing standard and third-party modules
  • Writing and organizing Python packages
  • Virtual environments and package management (pip)

 

  1. File Handling
  • Reading from and writing to files
  • Working with CSV, JSON, and other file formats
  • File paths and directory management

 

  1. Working with Libraries and APIs
  • Introduction to popular libraries (e.g., NumPy, Pandas)
  • Web scraping using BeautifulSoup or Scrapy
  • Consuming RESTful APIs using requests

 

  1. Database Connectivity
  • Introduction to SQL and databases
  • Connecting Python to databases (e.g., SQLite, MySQL)
  • Performing CRUD operations

 

  1. Testing and Debugging
  • Writing unit tests
  • Using debugging tools
  • Test-driven development (TDD)

 

  1. Web Development (Optional)
  • Introduction to Flask/Django for web development
  • Routing, templates, and views
  • API development with Python (REST APIs)

 

  1. Data Science and Machine Learning (Optional)
  • Data manipulation with Pandas and NumPy
  • Basic data visualization using Matplotlib or Seaborn
  • Introduction to machine learning with Scikit-learn

 

  1. Advanced Topics (Optional)
  • Multithreading and multiprocessing
  • Asynchronous programming (asyncio)
  • Decorators, generators, and context managers

 

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About Instructor

instructor
Swapnil Jadhav
About Instructor

Student Feedback

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