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Mastering flat_map in Python with List Comprehension

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Introduction In Python, when working with nested lists or iterables, one common challenge is flattening them into a single list while applying transformations. Many programming languages provide a built-in flatMap function, but Python does not have an explicit flat_map method. However, Python’s powerful list comprehensions offer an elegant way to achieve the same functionality. This article examines implementation behavior using Python’s list comprehensions and other methods. What is flat_map ? Functional programming  flatMap is a combination of map and flatten . It transforms the collection's element and flattens the resulting nested structure into a single sequence. For example, given a list of lists, flat_map applies a function to each sublist and returns a single flattened list. Example in a Functional Programming Language: List(List(1, 2), List(3, 4)).flatMap(x => x.map(_ * 2)) // Output: List(2, 4, 6, 8) Implementing flat_map in Python Using List Comprehension Python’...

How to Write Complex Python Script: Explained Each Step

 Creating a complex Python script is challenging, but I can provide you with a simplified example of a script that simulates a basic bank account system. In a real-world application, this would be much more elaborate, but here's a concise version.


Complex Python Script



Python Complex Script

Here is an example of a Python script that explains each step:


class BankAccount:

    def __init__(self, account_holder, initial_balance=0):

        self.account_holder = account_holder

        self.balance = initial_balance


    def deposit(self, amount):

        if amount > 0:

            self.balance += amount

            print(f"Deposited ${amount}. New balance: ${self.balance}")

        else:

            print("Invalid deposit amount.")


    def withdraw(self, amount):

        if 0 < amount <= self.balance:

            self.balance -= amount

            print(f"Withdrew ${amount}. New balance: ${self.balance}")

        else:

            print("Invalid withdrawal amount or insufficient funds.")


    def get_balance(self):

        print(f"Account balance for {self.account_holder}: ${self.balance}")



# Example usage:

if __name__ == "__main__":

    account1 = BankAccount("Alice", 1000)

    account2 = BankAccount("Bob")


    account1.deposit(500)

    account2.deposit(750)

    account1.withdraw(200)

    account2.withdraw(1000)

    account1.get_balance()

    account2.get_balance()



This script defines a BankAccount class with methods for depositing, withdrawing, and checking the balance. In the example usage section, two bank accounts are created for Alice and Bob, and various transactions are made.


Please note that this is a simplified example for demonstration purposes. In a real banking system, you would need more robust security measures, data persistence, and error handling. Additionally, the code would typically be spread across multiple files for better organization and maintainability.


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