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NumPy contains a broad array of functionality for fast numerical & mathematical operations in Python

The core data-structure within #NumPy is an ndArray (or n-dimensional array)

Behind the scenes - much of the NumPy functionality is written in the programming language C

NumPy functionality is used in other popular #Python packages including #Pandas, #Matplotlib, & #scikitlearn!

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Python Data Science Jobs & Interviews

Question 13 (Intermediate):
In NumPy, what is the difference between np.array([1, 2, 3]) and np.array([[1, 2, 3]])?

A) The first is a 1D array, the second is a 2D row vector
B) The first is faster to compute
C) The second automatically transposes the data
D) They are identical in memory usage

#Python #NumPy #Arrays #DataScience

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Python Data Science Jobs & Interviews

🚀 Comprehensive Guide: How to Prepare for a Data Analyst Python Interview – 350 Most Common Interview Questions

Are you ready: https://hackmd.io/@husseinsheikho/pandas-interview

#DataAnalysis #PythonInterview #DataAnalyst #Pandas #NumPy #Matplotlib #Seaborn #SQL #DataCleaning #Visualization #MachineLearning #Statistics #InterviewPrep

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