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- R Programming Tutorial PDF: Learn Basics (Download Now)by Daniel Johnson$20.20 $9.99 for today 4.6 (125 ratings) Key Highlights of R Programming Tutorial PDF 383+ pages eBook Designed for beginners Beautifully annotated screenshots You will get lifetime download access of this R Programming Tutorial PDF R is a programming language is widely used by data scientists and major corporations like…
- 17 Best R Programming Books (2021 Update)by Daniel JohnsonWe are reader supported and may earn a commission when you buy through links on our site R is a programming language developed by Ross Ihaka and Robert Gentleman in 1993. The language possesses an extensive catalogue of statistical and graphical methods. It includes machine learning algorithms, linear regression, time…
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- R Select(), Filter(), Arrange(), Pipeline with Exampleby Daniel JohnsonIn this tutorial, you will learn select() Filter() Pipeline arrange() The library called dplyr contains valuable verbs to navigate inside the dataset. Through this tutorial, you will use the Travel times dataset. The dataset collects information on the trip leads by a driver between his home and his workplace. There…
- R Aggregate Function: Summarise & Group_by() Exampleby Daniel JohnsonSummary of a variable is important to have an idea about the data. Although, summarizing a variable by group gives better information on the distribution of the data. In this tutorial, you will learn how summarize a dataset by group with the dplyr library. In this tutorial, you will learn…
- Tensorflow Tutorial PDF: Basics Beginners PDF (Download Now)by Daniel Johnson$20.20 $9.99 for today 4.6 (115 ratings) Key Highlights of TensorFlow Tutorial PDF 365+ pages eBook Designed for beginners Beautifully annotated screenshots You will get lifetime download access of this TensorFlow PDF Google’s TensorFlow is an open-source and most popular deep learning library for research and production. This ebook covers…
- 10 BEST TensorFlow Books (2021 Update)by Daniel JohnsonWe are reader supported and may earn a commission when you buy through links on our site TensorFlow is an open-source deep-learning library that is developed and maintained by Google. It offers dataflow programming which performs a range of machine learning tasks. It was built to run on multiple CPUs…
- Correlation in R: Pearson & Spearman Correlation Matrixby Daniel JohnsonBivariate Correlation in R A Bivariate relationship describes a relationship -or correlation- between two variables in R. In this tutorial, we will discuss the concept of correlation and show how it can be used to measure the relationship between any two variables in R. Correlation in R Programming There are…
- Python NumPy Tutorial for Beginners: Learn with Examplesby Daniel Johnson{loadposition top-ads-automation-testing-tools}
## What is NumPy in Python?

**NumPy**is an open source library available in Python, which helps in mathematical, scientific, engineering, and data science programming. It is a very useful library to perform mathematical and statistical operations in Python. It works perfectly for multi-dimensional arrays and matrix multiplication. It is easy to integrate with C/C++ and Fortran.For any scientific project, NumPy is the tool to know. It has been built to work with the N-dimensional array, linear algebra, random number, Fourier transform, etc.

NumPy is a programming language that deals with multi-dimensional arrays and matrices. On top of the arrays and matrices, NumPy supports a large number of mathematical operations. In this part, we will review the essential functions that you need to know for the tutorial on ‘TensorFlow.’

## Why use NumPy?

NumPy is memory efficiency, meaning it can handle the vast amount of data more accessible than any other library. Besides, NumPy is very convenient to work with, especially for matrix multiplication and reshaping. On top of that, NumPy is fast. In fact, TensorFlow and Scikit learn to use NumPy array to compute the matrix multiplication in the back end.

In this Python NumPy Tutorial, we will learn:

- How to Install NumPy
- Python NumPy Array
- numpy.zeros() & numpy.ones() in Python
- numpy.reshape() and numpy.flatten() in Python
- numpy.hstack() and numpy.vstack() in Python
- numpy.asarray() in Python with Example
- np.arange() Function
- numpy.linspace() and numpy.logspace() in Python
- Indexing and Slicing NumPy Arrays
- NumPy Statistical Functions with Example
- Numpy Dot Product Function
- NumPy Matrix Multiplication with np.matmul() Example

## How to Install NumPy

To install NumPy library, please refer our tutorial How to install TensorFlow. NumPy is installed by default with Anaconda.

In remote case, NumPy not installed-

{loadposition sponsored-tool-list-ads}You can install NumPy using Anaconda:

conda install -c anaconda numpy

- In Jupyter Notebook :

import sys !conda install --yes --prefix {sys.prefix} numpy

### Import NumPy and Check Version

The command to import numpy is

import numpy as np

Above code renames the Numpy namespace to np. This permits us to prefix Numpy function, methods, and attributes with ” np ” instead of typing ” numpy.” It is the standard shortcut you will find in the numpy literature

To check your installed version of Numpy use the command

print (np.__version__)

**Output:**1.18.0

## What is Python NumPy Array?

NumPy arrays are a bit like Python lists, but still very much different at the same time. For those of you who are new to the topic, let’s clarify what it exactly is and what it’s good for.

As the name kind of gives away, a NumPy array is a central data structure of the numpy library. The library’s name is actually short for “Numeric Python” or “Numerical Python”.

## Creating a NumPy Array

Simplest way to create an array in Numpy is to use Python List

myPythonList = [1,9,8,3]

To convert python list to a numpy array by using the object np.array.

numpy_array_from_list = np.array(myPythonList)

To display the contents of the list

numpy_array_from_list

**Output:**array([1, 9, 8, 3])

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- Natural Language Processing Tutorial: What is NLP? Examplesby Daniel JohnsonWhat is Natural Language Processing? Natural Language Processing (NLP) is a branch of AI that helps computers to understand, interpret and manipulate human languages like English or Hindi to analyze and derive it’s meaning. NLP helps developers to organize and structure knowledge to perform tasks like translation, summarization, named entity…
- NLTK Tutorial: What is NLTK Library in Python?by Daniel JohnsonWhat is Natural Language Processing (NLP)? Natural Language Processing (NLP) is a process of manipulating or understanding the text or speech by any software or machine. An analogy is that humans interact and understand each other’s views and respond with the appropriate answer. In NLP, this interaction, understanding, and response…
- PyTorch Tutorial: Regression, Image Classification Exampleby Daniel JohnsonPytorch Tutorial Summary In this pytorch tutorial, you will learn all the concepts from scratch. This tutorial covers basic to advanced topics like pytorch definition, advantages and disadvantages of pytorch, comparison, installation, pytorch framework, regression, and image classification. This pytorch tutorial is absolutely free. What is PyTorch? PyTorch is an…
- Keras Tutorial: What is Keras? How to Install in Python [Example]by Daniel JohnsonWhat is Keras? Keras is an Open Source Neural Network library written in Python that runs on top of Theano or Tensorflow. It is designed to be modular, fast and easy to use. It was developed by François Chollet, a Google engineer. Keras doesn’t handle low-level computation. Instead, it uses…
- Artificial Intelligence Tutorial: What is AI? Basics for Beginnersby Daniel JohnsonThis AI tutorial for beginners is designed for learning the basics of Artificial Intelligence. In this Artificial Intelligence for beginners tutorial, you will learn various Artificial Intelligence basics like what is AI, history of AI, types of AI, applications of AI, and more concepts about AI. What is AI? AI…
- Data Science Tutorial for Beginners: What is, Basics & Processby Daniel JohnsonWhat is Data Science? Data Science is the area of study which involves extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes. It helps you to discover hidden patterns from the raw data. The term Data Science has emerged because of the…
- TensorFlow Tutorial for Beginners: Learn Basics with Exampleby Daniel JohnsonTensorFlow Tutorial Summary This TensorFlow tutorial for beginners covers TensorFlow basics to advance topics like linear regression, classifier, create, train and evaluate a neural network like CNN, RNN, auto encoders etc with TensorFlow examples. Refer this Machine Learning TensorFlow tutorial, sequentially, one after the other, for maximum efficacy to learn…
- R Tutorial for Beginners: Learn R Programming Languageby Daniel JohnsonWhy Learn R? R is a programming language is widely used by data scientists and major corporations like Google, Airbnb, Facebook etc. for data analysis. This is a complete course on R for beginners and covers basics to advance topics like machine learning algorithm, linear regression, time series, statistical inference…