Start learning 50% faster. Sign in now
Explanation: Pandas is a powerful library that primarily deals with data manipulation and analysis . It provides data structures like DataFrame (tabular data) and Series (one-dimensional data), making it excellent for tasks such as cleaning, transforming, filtering, and aggregating data. Pandas is built on top of NumPy and offers additional capabilities for handling structured data such as missing values, time series, and categorical data. NumPy , on the other hand, is designed for numerical computing . It is used to perform efficient operations on large datasets stored as arrays or matrices, enabling operations like linear algebra, statistical calculations, and other complex numerical tasks. NumPy arrays are much more efficient for numerical data than native Python lists due to their support for vectorized operations.
A man invested certain sum at simple interest of r% p.a. such that it amounts to 126% of itself in 10 years. Find the interest earned when Rs. 12000 is ...
The question consists of two statements numbered "I and II" given below it. You have to decide whether the data provided in the statements are suffi...
7 10 4 13 ? 16
...The average weight of a group of 18 people is 35 kg. Six people leave the group, and the average weight of the remaining people increases by 3 kg. Find ...
‘X’ and ‘Y’ are capable of finishing a work in 9 days and 12 days respectively. They worked together for 3 days. Find the number of days ‘Y’...
A plastic bucket is sold at a 20% loss, making its selling price Rs. 72 less than when sold at a 12% profit. If the bucket’s marked price is 60% highe...
What is the total number of cars sold by Dealership S in the given five months?
Quantity 1 : A has 44% more money than B. If B spends Rs. 1748, he will have 3/8 times as much money as A. What is the total amount of money (in Rs.) wi...
A cyclist rides at a constant speed of 12 miles per hour for the first half of a journey. For the second half, the cyclist increases the speed to 18 mil...
Ankit can finish 25% of a task in 4 days. Bhuvan is 20% less efficient than Ankit. How many days will it take for both of them to...