Techbbas Tech Log

  Introduction The ' math' module in Python provides access to many mathematical functions and constants. This blog will guide you through some of the essential functions provided by the  ' math'  module with step-by-step explanations and examples. Table of Contents Calculating the Square Root Ceiling and Floor Functions Calculating Factorials Hyperbolic Sine Function Natural Logarithm Base 10 Logarithm Value of Pi Exponentiation Solving Quadratic Equations Importing the Math Module To use the functions in the '  math' module, we first need to import it: Calculating the Square Root To calculate the square root of a number, we use the '  math.sqrt()' function. Practice example Explanation: We take input from the user. Convert the input to a float. Use '  math.sqrt()' to calculate the square root. Print the result. Ceiling and Floor Functions The ceiling of a number is the smallest integer greater than or equal to the number, while the floor is...

Welcome to the Third Blog 👇 Dictionaries in Python: myDict={"name":"abbas","age":24,"gender":"male"} In Python, dictionaries are a powerful data structure that allows you to store and manipulate data in a key-value pair format. They are incredibly versatile and commonly used in various programming tasks.   Adding and Modifying Items To add a new item to a dictionary, we can simply assign a value to a new key. For example, we can add an email to a dictionary like this: ``` myDict["email"]="abbasjkdj@gmail.com" ``` This will add the key "email" with the corresponding value to the dictionary. Similarly, to modify an existing key's value, we can directly reassign a new value, such as changing the age like this: ``` myDict["age"]=29 ``` We can then see the updated dictionary with the modified values. Accessing Items Accessing items in a dictionary is straightforward. By using the key, we can retri...

 Welcome to Techbbas_log! Today, we will delve into the basics of Python lists and dictionaries, two essential data structures in Python programming. This blog will walk you through various operations on these data structures, from creation to manipulation, with clear explanations and code examples. Working with Python Lists Python lists are ordered, mutable collections of items. Lists can contain items of different data types, including integers, strings, and even other lists. Let's explore some fundamental list operations: Creating a List fruits = ["guava", "apple", "mango", "orange", "happy"] print(fruits) Here, we have created a list named fruits and printed its contents. Finding the Length of a List print(len(fruits))     //The len() function returns the number of items in the list. Looping Through a List for fruit in fruits:     print(fruit) Using a for loop, we can iterate through each item in the list and print it. Access...