( Python Training: https://www.edureka.co/python )
This Edureka Python Numpy tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) explains what exactly is Numpy and how it is better than Lists. It also explains various Numpy operations with examples.
Check out our Python Training Playlist: https://goo.gl/Na1p9G
This tutorial helps you to learn the following topics:
1. What is Numpy?
2. Numpy v/s Lists
3. Numpy Operations
4. Numpy Special Functions
( Python Training: https://www.edureka.co/python )
This Edureka Python Numpy tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) explains what exactly is Numpy and how it is better than Lists. It also explains various Numpy operations with examples.
Check out our Python Training Playlist: https://goo.gl/Na1p9G
This tutorial helps you to learn the following topics:
1. What is Numpy?
2. Numpy v/s Lists
3. Numpy Operations
4. Numpy Special Functions
White wonder, Work developed by Eva TschoppMansi Shah
White Wonder by Eva Tschopp
A tale about our culture around the use of fertilizers and pesticides visiting small farms around Ahmedabad in Matar and Shilaj.
White wonder, Work developed by Eva TschoppMansi Shah
White Wonder by Eva Tschopp
A tale about our culture around the use of fertilizers and pesticides visiting small farms around Ahmedabad in Matar and Shilaj.
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The results underscore the pivotal role of cohesive branding, social media influence, and website usability in shaping positive brand perceptions, influencing consumer decisions, and ultimately bolstering sales and profitability. This paper provides actionable insights and strategic recommendations for businesses seeking to leverage branding, social media, and website design as potent tools to enhance their market position and financial success.
Technoblade The Legacy of a Minecraft Legend.Techno Merch
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In this slides I explain how I have used storytelling techniques to elevate websites and brands and create memorable user experiences. You can discover practical tips as I showcase the elements of good storytelling and its applied to some examples of diverse brands/projects..
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This presentation was made to help designers who work in publishing houses or format books for printing ensure quality.
Quality control is vital to every industry. This is why every department in a company need create a method they use in ensuring quality. This, perhaps, will not only improve the quality of products and bring errors to the barest minimum, but take it to a near perfect finish.
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Connect Conference 2022: Passive House - Economic and Environmental Solution...TE Studio
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Can AI do good? at 'offtheCanvas' India HCI preludeAlan Dix
Invited talk at 'offtheCanvas' IndiaHCI prelude, 29th June 2024.
https://www.alandix.com/academic/talks/offtheCanvas-IndiaHCI2024/
The world is being changed fundamentally by AI and we are constantly faced with newspaper headlines about its harmful effects. However, there is also the potential to both ameliorate theses harms and use the new abilities of AI to transform society for the good. Can you make the difference?
Can AI do good? at 'offtheCanvas' India HCI prelude
Numpy
1. Table of contents
Highlights
Introduction
Here’s how we’ll learn NumPy:
What is the NumPy library in Python?
Python Lists vs NumPy Arrays – What’s the Difference?
Creating a NumPy Array
The Shape and Reshaping of NumPy Arrays
Expanding and Squeezing a NumPy array
Indexing and Slicing of NumPy array
Stacking and Concatenating NumPy arrays
Broadcasting in NumPy arrays – A class apart!
NumPy Ufuncs – The secret of its success!
Maths with NumPy arrays
Sorting in NumPy arrays
NumPy arrays and Images
End Notes
INTRODUCTION
NumPy is one of the most fundamental libraries in Python and perhaps the
most useful of them all. NumPy handles large datasets effectively and
efficiently.
NumPy stands for Numerical Python and is one of the most useful scientific
libraries in Python programming. It provides support for large
multidimensional array objects and various tools to work with them. NumPy
arrays are called ndarray or N-dimensional arrays and they store
elements of the same type and size
Numpy installation
pip install numpy
import numpy as np