Python

Throughout this tutorial, we will explore methods for reading, writing, and editing CSV (Comma-Separated Values) files using the Python standard library “csv”. Due to the popularity of CSV files for databasing, these methods will prove crucial to programmers across different fields of work. CSV files are not standardized. Regardless, there are some common structures seen in all sorts of CSV ...

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 libraries that help us do such clean-up ...

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 operators do not require the ...

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 measuring truly physical random parameters ...

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 top of the Priority ...

Programming in Python involves frequently working with sequential or ‘indexed’ data. Indexed data are the ones stored in such structures that allow their access using indices.Such data can be of varying lengths, from a few elements to hundreds of thousands of elements.However, most of the time, we are interested in working only on a small subset of the data. While ...

Numbers are an integral part of programming. Hence, programming languages support various datatypes to represent different kinds of numbers and provide various methods to work with them.Each of these datatypes comes with certain limitations on the range of numbers they can represent; while some can represent a small range of numbers, others support a very large range of numbers. Depending ...

Have you been using for loops to perform repetitive tasks on a list of items in Python?Did you wish there existed a more efficient way to apply functions to every item in a Python list?If you answered yes, you are yet to discover an important and powerful tool in Python – the map() function. In this tutorial, we will uncover the capabilities of a ...

Python’s NumPy package offers various methods that are used to perform operations involving randomness, such as the methods to randomly select one or more numbers from a given list of numbers, or to generate a random number in a given range, or to randomly generate a sample from a given distribution. All these methods are offered under the random module of ...