01 - Introduction to Numpy - Tutorial Series
@backstreetbrogrammer
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Introduction to Numpy - Tutorial Series
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This is an introductory course on Numpy.
NumPy is the fundamental package for scientific computing in Python.
The NumPy library contains multidimensional array data structures, such as the homogeneous, N-dimensional ndarray, and a large library of functions being performed in compiled code that operate efficiently on these data structures.
Features which make NumPy fast:
NumPy arrays have a fixed size at creation, unlike Python lists (which can grow dynamically).
The elements in a NumPy array are all required to be of the same data type, and thus will be the same size in memory.
NumPy supports a large library of functions being performed in pre-compiled C code that operate efficiently on these data structures.
Vectorization and Broadcasting: absence of any explicit looping, indexing, etc., in the code - these things are taking place just “behind the scenes” in optimized, pre-compiled C code.
Github: https://github.com/backstreetbrogramm...
Introduction to NumPy Playlist: • Introduction to NumPy
Apache Spark for Java Developers Playlist: • Apache Spark for Java Developers
Top Java Coding Interview Problems Playlist: • Top Java Coding Interview Problems
Java Serialization Playlist: • Java Serialization
Dynamic Programming Playlist: • Dynamic Programming
#python #datascience