NumPy Tutorial - FULL COURSE

Content
- Introduction + Installing numpy
- The N-dimensional array (ndarray)
- Array indexing
- Negative indexing and ndim() method
- Array Slicing
- Data Types
- NumPy Astype method
- NumPy Array Copy vs View
- NumPy Array Reshaping
- How to Manipulate Arrays | NumPy Reshape Function (Part 1)
- How to Manipulate Arrays | NumPy Reshape Function (Part 2)
- NumPy Matrix transpose() - Transpose of an Array in Python
- Flatten a Matrix in Python using NumPy
- NumPy Sorting Arrays | How to sort a Numpy Array in Python
- Iterating Numpy Arrays
- Iterate Down To Scalar in Numpy
- Numpy nditer | Loop Through Numpy array
- NumPy | searchsorted method with Examples
- NumPy | Filtering Data in Python with Boolean Indexes
- NumPy Direct Filtering
- How to Filter a NumPy Array (Examples)
- Numpy Mean, Median, Mode, Standard Deviation in Python
- ARRAYS OF ONES & ONES and IDENTITY MATRICES
- Introduction to Random Numbers in NumPy
- How to Use Python NumPy Random Function (EXAMPLES)
- Numpy Tutorial for beginners - Numpy Permutation() |

The fundamental library needed for scientific computing with Python is called NumPy. NumPy is Open Source library that contains a powerful N-dimensional array object and advanced array slicing methods (to select array elements), convenient array reshaping methods. I will explain what is numpy. why do we use numpy, NumPy is suited to what applications. at last i am going to show How to install numpy on windows using pip install and how to add numpy to your pycharm IDE. A NumPy array is an N-dimensional homogeneous collection of “items” of the same “kind”. The kind can be any arbitrary structure and is specified using the data-type.

1 - Introduction + Installing numpy
2 - Python List Vs Numpy Array
3 - Basic properties and Methods in NumPy Array
4 - Creating specific arrays, Reshape and more

[surendirans]

It was very useful and can you upload other python libraries that are used for data analytics