Numpy - the complete guide master the Numpy library of Python Welcome to the most comprehensive course on the NumPy library of Python! This complete guide on Numpy helps you take your Python skills ... Instructor: Anup Shukla Web & Application Developer Project Manager What you'll learn Description Welcome to the most comprehensive course on the NumPy library of Python! This complete guide on Numpy helps you take your Python skills to the next level. At the end of the course, you shall have gained enough expertise in the Numpy library so as to venture into the field of data driven technologies which are hot and trending - data science, data analysis, and machine learning. Numpy, or Numerical Python, works under the hood; is the backbone of many other Python libraries.

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This forms the basis for everything else. The central object in Numpy is the Numpy array, on which you can do various operations. We know that the matrix and arrays play an important role in numerical computation and data analysis. Pandas and other ML or AI tools need tabular or array-like data to work efficiently, so using NumPy in Pandas and ML packages can reduce the time and improve the performance of the data computation. NumPy based arrays are 10 to 100 times (even more than 100 times) faster than the Python Lists, hence if you are planning to work as a Data Analyst or Data Scientist or Big Data Engineer with Python, then you must be familiar with the NumPy as it offers a more convenient way to work with Matrix-like objects like Nd-arrays.

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