Author: admin
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NumPy Array Shape
Shape of an Array The shape of an array is the number of elements in each dimension. Get the Shape of an Array NumPy arrays have an attribute called shape that returns a tuple with each index having the number of corresponding elements. ExampleGet your own Python Server Print the shape of a 2-D array: The example…
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NumPy Array Copy vs View
The Difference Between Copy and View The main difference between a copy and a view of an array is that the copy is a new array, and the view is just a view of the original array. The copy owns the data and any changes made to the copy will not affect original array, and any changes…
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NumPy Data Types
Data Types in Python By default Python have these data types: Data Types in NumPy NumPy has some extra data types, and refer to data types with one character, like i for integers, u for unsigned integers etc. Below is a list of all data types in NumPy and the characters used to represent them. Checking the Data Type…
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NumPy Array Slicing
Slicing arrays Slicing in python means taking elements from one given index to another given index. We pass slice instead of index like this: [start:end]. We can also define the step, like this: [start:end:step]. If we don’t pass start its considered 0 If we don’t pass end its considered length of array in that dimension If we…
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NumPy Array Indexing
Access Array Elements Array indexing is the same as accessing an array element. You can access an array element by referring to its index number. The indexes in NumPy arrays start with 0, meaning that the first element has index 0, and the second has index 1 etc. ExampleGet your own Python Server Get the…
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NumPy Creating Arrays
Create a NumPy ndarray Object NumPy is used to work with arrays. The array object in NumPy is called ndarray. We can create a NumPy ndarray object by using the array() function. ExampleGet your own Python Server Try it Yourself » type(): This built-in Python function tells us the type of the object passed to it. Like in above code it…
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NumPy Getting Started
Installation of NumPy If you have Python and PIP already installed on a system, then installation of NumPy is very easy. Install it using this command: If this command fails, then use a python distribution that already has NumPy installed like, Anaconda, Spyder etc. Import NumPy Once NumPy is installed, import it in your applications by adding the import keyword: Now…
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NumPy Introduction
What is NumPy? NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices. NumPy was created in 2005 by Travis Oliphant. It is an open source project and you can use it freely. NumPy stands for Numerical Python. Why Use…
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Deployment
Spark application, using spark-submit, is a shell command used to deploy the Spark application on a cluster. It uses all respective cluster managers through a uniform interface. Therefore, you do not have to configure your application for each one. Example Let us take the same example of word count, we used before, using shell commands.…
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Core Programming
Spark Core is the base of the whole project. It provides distributed task dispatching, scheduling, and basic I/O functionalities. Spark uses a specialized fundamental data structure known as RDD (Resilient Distributed Datasets) that is a logical collection of data partitioned across machines. RDDs can be created in two ways; one is by referencing datasets in…