Python’s time module plays a fundamental part in many applications of computer science. It allows you to perform some major functions efficiently and concisely. You can calculate the performance of your code, suspend the execution of thread in your program, or simply retrieve the current time when an event is triggered. The time module also …
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Python introduces four built-in data types that let you hold a collection of objects or values: list, tuple, dictionary, and set. These are arguably the most versatile data structures that can store heterogeneous collections of Python objects. List and tuples fall into the category of sequence data types. They allow you to store data in …
Many of Python’s popular libraries use NumPy under the hood as a fundamental pillar of their infrastructure. Beyond slicing, dicing, and manipulating arrays, the NumPy library offers various functions that allow you to sort elements in an array. Sorting an array is useful in many applications of computer science. It lets you organize data in …
NumPy library offers a wide range of functions and, arange function is one of the most used methods. The arange function is used to create evenly spaced values and then returns the reference to them. NumPy provides four parameters for the NumPy arange function: Start: The Start parameter takes an integer value which denotes the …
A queue is a data structure that retrieves data items in an order called FIFO (first in first out). In FIFO, the first inserted element will be popped out first from the queue.The Priority Queue is an advanced version of the Queue data structure. The element with the highest priority is placed on the very …
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There are two types of random number generators: pseudo-random number generator and true random number generator.Pseudorandom numbers depend on computer algorithms. The computer uses algorithms to generate random numbers. These random numbers are not truly random because they are predictable like the generated numbers using NumPy random seed. Whereas, truly random numbers are generated by …
In this tutorial, you will learn about reshaping the NumPy arrays. This tutorial focuses on the reshaping technique using the NumPy array reshape function. The shape of an array is defined as the total number of elements in each dimension of the array. Reshaping an array means change either the number of elements in an …
NumPy Array Reshape (Shape Transformation Without Data Change) – Like Geeks Read More »
In this tutorial, you will learn about Python math functions in the math module of Python. Mathematical calculations are always required in any type of project. However, the math module does not work on complex numbers and you need to use the cmath module to perform operations on complex numbers. In Python, some built-in math …
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In this tutorial, you’ll learn various JSON processing techniques such as load JSON objects, write, sort JSON, or parse JSON, etc. JSON stands for JavaScript Object Notation that represents structured data. JSON data is used to exchange information. In Python, we can use JSON by importing the built-in Python module called json. The json module …
If you have ever worked processing a large amount of textual data, you would know the pain of finding and removing irrelevant words or characters from the text. Doing this job manually, even with the help of modern word processors, can be time-consuming and frustrating. Fortunately, programming languages such as Python support powerful text processing …
