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The pandas library in Python is essential for data manipulation and analysis, offering powerful functions to handle data structures like DataFrames and Series. It allows users to perform operations such as filtering, reshaping, merging, and aggregating data, making it indispensable for data analysts. With pandas, data can be cleaned, organized, and prepared efficiently, allowing for transformations necessary for deeper analysis. Its versatile functionalities support complex data workflows, making it one of the most widely used libraries in data science and analytics. The other options are incorrect because: • Option 1 (NumPy) is primarily for numerical operations and lacks high-level data manipulation tools. • Option 3 (Matplotlib) is for data visualization, not data manipulation. • Option 4 (Seaborn) extends Matplotlib’s capabilities but focuses on visualization. • Option 5 (scikit-learn) is used for machine learning, not data manipulation.
What will be the remainder when 742 is divided by 48?
Which of the following pairs of non-zero values of p and q make 6-digit number 674pq0 divisible by both 3 and 11?
A number n when divided by 6, leaves a remainder of 3. What will be the remainder when (n² +5n+8) is divided by 6?
Which of the following numbers is divisible by 11?
If the 6-digit number 1344AB is divisible by 3, 7, and 11, then what is the value of A + B?
What are the last two digits of 56283 x 141283 × 125254?
A number gives a remainder of 27 when divided by 36. What will be the remainder when the same number is divided by 12?
Find the largest 4-digit number that is exactly divisible by 27 and 45.
A six-digit number 23p7q6 is divisible by 24. Then the greatest possible value for (p + q) is:
If the polynomial (2x3 + ax2 + 3x-5) and (x3 + ax² - 2x + a) leave the same remainder when divided by (x - 2), find ...