In Python, the = (assignment) operation does not pass by reference. Instead, it binds a new name to the same object. This behavior is more accurately described as creating a reference to the object. …

1. range() range() is a built-in Python function used to create a sequence of integers from a starting value (inclusive) to an ending value (exclusive). range([start], stop, [step]) #Generating a simple sequence of numbers: for i in range(5): print(i) # Output: 0 1 2 3 4 #Specifying start, stop, and step values: for…

This article provides a comprehensive Python string manipulation cheatsheet, covering essential functions like substring checks, capitalization, replacing text, splitting strings, and checking character types. It offers clear examples and explanations, making it a valuable resource for anyone working with strings in Python. — word = 'Rahul' sentence = 'My name is Rahul Sharma' if word in sentence: print("The word is in the sentence.") else: print("The word is not in the sentence.") # Converting into lower and upper print(f"The uppercase 'word' is {word.upper()}") print(f"The lowercase 'word' is {word.lower()}") #output = The word is in the sentence…

apply() and map() are more efficient than for loops when dealing with DataFrames in Pandas for several reasons: Vectorized Operations: apply() and map() operations are implemented as vectorized operations. This means that they are optimized and performed efficiently at the C level in Pandas, which is significantly faster than interpreting…

The map()transform values in a Series or DataFrame based on a mapping or function. With it, we can apply custom transformations to our data. Syntax: Series.map(arg, na_action=None) arg: This parameter can take one of the following: A dictionary: It maps current values to new values. 2. A Series: It uses…

apply() works on both DataFrames and Series, allowing custom functions for transformation. map() is specifically for Series objects and is useful for value replacement or mapping. applymap() is applied to all elements in a DataFrame and is handy for element-wise operations. apply() apply() is a Pandas DataFrame and Series method that…

From basic random number generation to advanced techniques like Gaussian distribution, discover how Python random library adds controlled randomness to Python projects. — The random library in Python provides functions and classes for generating random numbers and data. random(): Generating a random floating-point number between 0 and 1. random_num = random.random() randint() : Generating a random integer within a specified range.

The break, continue, and pass keywords are used to control the flow of a program, especially within loops and conditional statements. break: break is used to exit a loop prematurely when a certain condition is met. It is commonly used in for and while loops to terminate the loop before it…

df1.append(df2) - Add rows in df1 to the end of df2 (columns should be identical) Use the append() method to stack one DataFrame (df1) on top of another DataFrame (df2). The DataFrames should have identical column names. Returns a new DataFrame with the combined rows. Example: import pandas as pd data1 = {'A'…

1. df[df[col] > 0.5] - Rows where 'col' is greater than 0.5 Use boolean indexing to filter rows where a specific column (‘col’) meets a certain condition (greater than 0.5). 2. df[(df[col] > 0.5) & (df[col] < 0.7)] - Rows where 0.5 < 'col' < 0.7 Use logical operators (&…

append(x)Adds element x to the end of the list. extend(iterable)Extends the list by appending elements from the iterable. insert(index, x)Inserts element x at the specified index in the list. remove(x) Removes the first occurrence of element x from the list. pop([index])Removes and returns the element at the specified index. …

1. Lambda Functions: lambda arguments: expression - Create an anonymous inline function. square = lambda x: x ** 2 result = square(5) # Result is 25 2. Filter Function: filter(function, iterable) - Filter elements from an iterable based on a function. numbers = [1, 2, 3, 4, 5, 6] even_numbers =…

.join() and .split() are two string methods in Python that are used for joining and splitting strings, respectively. .join() Method: The .join() method is used to concatenate elements from an iterable (e.g., a list, tuple, or string) into a single string, using the calling string as the separator. Syntax: "separator".join(iterable) Example: #…

While both are used for object comparison, ‘==’ compares the values of two objects, while ‘is’ checks if they are the same object in memory. — ‘==’ and ‘is’ are not equivalent. Both operators are used to compare objects, true. But whereas “==” is used to compare the values of two objects, “is” is used to check if the two ojects are the same object in memory. “==” returns True if the two objects have the…