Welcome to algrothims of python

About Algorithms of Python

Python is a versatile and popular programming language known for its simplicity and readability. It offers a wide range of built-in algorithms and data structures that make it a powerful tool for solving a variety of problems efficiently. Here, we'll discuss some essential algorithms and data structures in Python.

examples of algorithms:

1. Sorting Algorithms: Python provides built-in functions like sorted() and list.sort() to perform sorting. These functions use the Timsort algorithm, which is a hybrid sorting algorithm derived from merge sort and insertion sort. It has excellent average-case performance and is widely used in practice.
2. Searching Algorithms: Python provides a variety of searching algorithms, such as linear search, binary search (for sorted lists), and hash tables (using dictionaries). These algorithms enable efficient data retrieval based on the problem requirements.
3. Graph Algorithms: Python's extensive standard library includes modules like networkx for graph algorithms. You can perform tasks like finding the shortest path, calculating centrality measures, and performing graph traversals with ease.
4. Dynamic Programming: Python is commonly used for solving dynamic programming problems. It allows you to efficiently solve problems with overlapping subproblems by caching results. Memoization can be implemented using dictionaries or decorators like functools.lru_cache.
5. Data Structures: Python offers versatile data structures like lists, tuples, sets, dictionaries, and queues. Each has its own unique characteristics that make them suitable for various applications. For example, lists are dynamic arrays, while dictionaries are key-value stores.

Applications of Algorithms in python:

• Data Analysis and Data Science: Python's libraries such as NumPy, pandas, and SciPy provide powerful tools for data analysis, manipulation, and visualization. Algorithms for statistical analysis, data cleaning, and machine learning are widely used in this field.
• Web Development: Algorithms play a crucial role in web development, from optimizing database queries to implementing search algorithms for content retrieval. Web frameworks like Django and Flask make it easier to integrate algorithms into web applications.
• Artificial Intelligence and Machine Learning: Python is the primary language for AI and machine learning. Libraries like TensorFlow, PyTorch, and Scikit-Learn offer a wide range of algorithms for tasks like image recognition, natural language processing, and predictive modeling.
• Computer Vision: Computer vision applications, such as object detection, facial recognition, and image segmentation, often rely on algorithms implemented in Python using libraries like OpenCV
• Optimization and Operations Research: Algorithms for optimization problems, such as linear programming, integer programming, and constraint satisfaction, are essential in fields like logistics, supply chain management, and resource allocation.
• Game Development: Python is used for game development, and algorithms are used for game mechanics, physics simulations, pathfinding, and AI opponents in video games.

Classical Papers

• Paper 1 : fundamental algorithms for scientific computing in Python

Videos

• Video 1: Algorithms of python

    
class BankAccount:
    def __init__(self, account_number, owner_name, balance=0):
        self.account_number = account_number
        self.owner_name = owner_name
        self.balance = balance

    def deposit(self, amount):
        if amount > 0:
            self.balance += amount
            print(f"Deposited ${amount}. New balance: ${self.balance}")
        else:
            print("Invalid deposit amount. Please enter a positive value.")

    def withdraw(self, amount):
        if 0 < amount <= self.balance:
            self.balance -= amount
            print(f"Withdrew ${amount}. New balance: ${self.balance}")
        else:
            print("Insufficient funds or invalid withdrawal amount.")

    def check_balance(self):
        print(f"Account Holder: {self.owner_name}")
        print(f"Account Number: {self.account_number}")
        print(f"Balance: ${self.balance}")

# Example usage:
if __name__ == "__main__":
    # Create two bank accounts
    account1 = BankAccount("12345", "Alice", 1000)
    account2 = BankAccount("67890", "Bob", 500)

    # Perform transactions
    account1.check_balance()
    account1.deposit(500)
    account1.withdraw(200)
    account1.check_balance()

    account2.check_balance()
    account2.deposit(1000)
    account2.withdraw(800)
    account2.check_balance()


    
  

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