Welcome to the NumPy Full Course.
NumPy is an open source Python library, that allows you to work with multi_dimensional arrays and matrices, with the mathematical functions operating on these arrays. It stands for Numerical Python and is written in Python and C. It is a Python library for numeric and scientific computing. It consists of multi_dimensional array objects. It is faster with less LOC.
Numpy allows you to perform various operations on Arrays, including
Array Slicing
Array Join
Array Split
Array Reshape
Array Intersection
Array Arithmetic Operations
Array Statistical Operations
Course Lessons
NumPy Introduction
Installing NumPy with pip
Create NumPy arrays
Dimensions in NumPy Arrays
Initialize NumPy Arrays
Datatypes in NumPy
NumPy Array Indexing
NumPy Array Slicing
NumPy Array Shape
Reshape a NumPy array
Iterate NumPy Arrays
Joining NumPy Arrays
Split NumPy Array
Search an Array for a value
Sorting NumPy Arrays
Axes in NumPy arrays
Intersection of NumPy Arrays
Difference between NumPy arrays
Arithmetic Operations on NumPy arrays
Scalar operations on NumPy arrays
Statistical Operations on NumPy arrays
Random module in NumPy
NumPy Logs
NumPy LCM and HCF
70+ live coding examples are covered to make each lesson easier for the students.
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Who this course is for:
Get started with NumPy
Those who want to learn NumPy by doing. This course includes 50+ hands_on exercises
Gain a deep understanding of Python NumPy
Python Libraries Beginners
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SKILLS YOU WILL GAIN
Learn NumPy for Data Science
Gain a deep understanding of Python NumPy
Python Libraries
WHAT YOU WILL LEARN
Acquire essential NumPy skills for numeric and scientific computing
Be able to program in NumPy professionally.