Description

NumPy, which stands for Numerical Python, is a library consisting of multidimensional array objects and a collection of routines for processing those arrays. Using NumPy, mathematical and logical operations on arrays can be performed. This tutorial explains the basics of NumPy such as its architecture and environment. It also discusses the various array functions, types of indexing, etc. An introduction to Matplotlib is also provided. All this is explained with the help of examples for better understanding.

This tutorial has been prepared for those who want to learn about the basics and various functions of NumPy. It is specifically useful for algorithm developers. After completing this tutorial, you will find yourself at a moderate level of expertise from where you can take yourself to higher levels of expertise.

You should have a basic understanding of computer programming terminologies. A basic understanding of Python and any of the programming languages is a plus.

What you'll learn

Become a UX designer.

You will be able to add UX designer to your CV

Become a UI designer.

Build & test a full website design.

Create your first UX brief & persona.

How to use premade UI kits.

Create quick wireframes.

Downloadable exercise files

Build a UX project from beginning to end.

Learn to design websites & mobile phone apps.

All the techniques used by UX professionals

You will be able to talk correctly with other UX design.

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

NumPy Tutorial
NumPy Introduction
NumPy Environment
NumPy Ndarray Object
NumPy Data Types
NumPy Array Attributes
NumPy Array Creation Routines
NumPy Array From Existing Data
NumPy Indexing & Slicing
NumPy Advanced Indexing
NumPy Broadcasting
NumPy Iterating Over Array
NumPy Array Manipulation
NumPy Binary Operators
NumPy String Functions
NumPy Mathematical Functions
NumPy Arithmetic Operations
NumPy Statistical Functions
NumPy Byte Swapping
NumPy Copies & Views
NumPy Matrix Library
NumPy Linear Algebra
NumPy Matplotlib
NumPy Histogram Using Matplotlib
NumPy Quick Guide
NumPy Useful Resources

Instructor

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W3edify Infotech

President of Sales

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