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An array is a homogeneous data structure, which is used to store a set of elements of the same data type. And each element in the array is identified by key or index value. Subarray A subarray is defined as a small part of continuous elements of an array. if we take an array of 5 integer elements like below. [9, 3, 1, 6, 9] Then the subarrays will be − [9, 3] [9, 3, 1] [3, 1, 6, 9] Arrays in Python In Python we don't have a specific data structure to represent arrays. However, ... Read More
In programming array is a data structure, which is used to store collection of homogeneous data elements. And each element in the array is identified by an index value. But Python doesn’t have a specific data type to represent arrays. Instead, we can use the List as an array. Arrays in Python Here, we are representing List as an array. [1, 4, 6, 5, 3] The indexing in python starts from 0, so that the above array elements are accessed using their respective index values 0, 1, 2, 3, 4. Pushing an array into another array means, ... Read More
An array is a data structure consisting of a collection of elements of the same data type, and each element is identified by an index. [2, 4, 0, 5, 8] Arrays in Python Python does not have its own data structure to represent an array. Instead, we can use the list data structure to represent an array. Here, we will use list an array − [10, 4, 11, 76, 99] In the article, we will write a python programs to convert an array to a string and join elements with a specified character. ... Read More
Data storage, analysis, and presentation are frequently done using Excel. The popular programming language Python, on the other hand, is renowned for its ease of use, adaptability, and versatility. For use with Excel spreadsheets and for various task automation, Python offers a number of libraries. We can easily make use of Python for automating Excel spreadsheets. For doing the same, we will be covering various approaches in this article: Approaches Using the openpyxl library Using the pandas library Using the xlwings library Method 1: Using the openpyxl library We can use the Python Openpyxl package for interacting with ... Read More
Pandas is a popular Python library that is used for data analysis and manipulation. Dealing with date and time is a common task while working with data analysis and manipulation in Python Pandas. Getting the day from a given date is a real-life task that might have come across many developers. This task is made easier by a number of functions and methods offered by Pandas. Knowing how to get the day from a date can be very helpful in many cases. In this article, we'll look at several methods for determining the day of the week in Pandas. You ... Read More
Pandas is a popular and powerful Python library commonly used for data analysis and manipulation. It offers a number of data structures, including the Series, DataFrame, and Panel, for working with tabular and time-series data. Pandas DataFrame is a two-dimensional tabular data structure. In this article, we'll go through various methods for determining a column's data type in Pandas. There can be numerous cases where we have to find the data type of a column in Pandas DataFrame. Each column in a Pandas DataFrame can contain a different data type. Before Moving forward, let's make a sample dataframe on which ... Read More
BeautifulSoup is known as one of the most widely used Python packages for web scraping. It is one of the most fantastic tools used for parsing HTML and XML documents, making it simpler and quicker to extract data from websites. Extraction of the tag name for particular HTML and XML components is one of the most frequent tasks in web scraping. Getting the tag name of a given element is one of the most frequent tasks when working with HTML and XML documents. Python’s BeautifulSoup library can be installed using the below command: pip install beautifulsoup4 Approach ... Read More
PySpark is a powerful tool for data processing and analysis. When working with data in a PySpark DataFrame, you may sometimes need to get a specific row from the dataframe. It helps users to manipulate and access data easily in a distributed and parallel manner, making it ideal for big data applications. In this article, We will explore how to get specific rows from the PySpark dataframe using various methods in PySpark. We will cover the approaches in functional programming style using PySpark's DataFrame APIs. Before Moving forward, let's make a sample dataframe from which we have to get the ... Read More
Adding commas manually in specific places within cells may be a pretty good idea when you deal with numerous cells inside your spreadsheet data. After the first word in a list that was randomly produced in Excel, it is highly typical for there to be an absence of commas in the data. This is particularly true in situations in which the data is copied from word editors. but, when you deal with a vast amount of data, you have to discover a better approach to do it or come up with a different way to do it manually.You have the ... Read More
It takes both experience and certification to succeed in an IT security career. With the growing importance of information security, many companies now use security certifications as a prerequisite for employment. Of course, you can bootstrap your way into IT security, as everyone has to begin somewhere (as we wrote about recently). However, if you've decided to pursue a career in information security, there are a plethora of certifications from which to choose. Some certifications can be breezed through. Some people are notoriously challenging. As a group, we understand that there is a spectrum of exam challenges. The amount of ... Read More