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Coding

I believe you meant "Python" rather than "phython." Python is a high-level, versatile, and widely-used programming language known for its readability and simplicity. Created by Guido van Rossum and first released in 1991, Python has gained popularity across various domains due to its ease of use and extensive standard library. Here are some key characteristics and aspects of Python.


  1. Join the Course to Know About the Phython

Curriculum

Python courses typically cover the fundamentals of programming using the Python programming language, catering to beginners and experienced programmers alike. Here's an overview of what you might expect from Python courses:


Introduction to Python: Understanding the basic syntax, data types, variables, operators, and control structures (loops, conditionals) in Python.


Data Structures: Learning about Python's data structures such as lists, tuples, dictionaries, and sets, and understanding how to manipulate and work with them efficiently.


Functions and Modules: Exploring how to create functions, define modules, and organize code for reusability, along with understanding scope and namespaces.


File Handling: Learning how to read from and write to files, handle exceptions, and manage file I/O operations using Python.


Object-Oriented Programming (OOP): Understanding OOP principles in Python, including classes, objects, inheritance, polymorphism, and encapsulation.


Libraries and Frameworks: Introduction to various Python libraries and frameworks for specific tasks like NumPy and Pandas for data analysis, Matplotlib and Seaborn for data visualization, Django and Flask for web development, TensorFlow and PyTorch for machine learning, etc.


Python courses typically cover the fundamentals of programming using the Python programming language, catering to beginners and experienced programmers alike. Here's an overview of what you might expect from Python courses:

Introduction to Python: Understanding the basic syntax, data types, variables, operators, and control structures (loops, conditionals) in Python.

Data Structures: Learning about Python's data structures such as lists, tuples, dictionaries, and sets, and understanding how to manipulate and work with them efficiently.

Functions and Modules: Exploring how to create functions, define modules, and organize code for reusability, along with understanding scope and namespaces.

File Handling: Learning how to read from and write to files, handle exceptions, and manage file I/O operations using Python.

Object-Oriented Programming (OOP): Understanding OOP principles in Python, including classes, objects, inheritance, polymorphism, and encapsulation.

Libraries and Frameworks: Introduction to various Python libraries and frameworks for specific tasks like NumPy and Pandas for data analysis, Matplotlib and Seaborn for data visualization, Django and Flask for web development, TensorFlow and PyTorch for machine learning, etc.

Web Scraping and Automation: Exploring how to extract data from websites using tools like BeautifulSoup and how to automate tasks using Python's scripting capabilities.

Database Access: Working with databases using Python and SQL, including connecting to databases, querying data, and performing CRUD (Create, Read, Update, Delete) operations.

Projects and Practical Applications: Engaging in hands-on projects or building applications to apply Python skills in real-world scenarios, reinforcing learning and building a portfolio.

Courses often include interactive coding exercises, quizzes, and assignments to reinforce learning. They may cater to specific interests like data science, web development, machine learning, or automation, enabling learners to specialize based on their career objectives.

20,000

/-

Modern Architecture

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