data analysis Tag

data on screen

How to Learn Spark

Have you ever come across a data-processing task? Or, do you ever wonder how terabytes of data are processed and stored in distributed storage systems? Such tasks require a powerful, intelligent management solution to help reduce costs and increase efficiency. Spark is one such open-source distributed computing solution — it helps quickly store and process Big Data.In this guide, we’re

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How to Learn Julia

Julia, which started development in 2009, is today a popular programming language. Julia is used by millions of data science and statistical computing developers around the world. The programming language is dynamic because it is designed with efficiency in mind.How do you learn Julia? That is the question we are going to address in this article. First, we will discuss

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Data Analyst vs. Data Scientist: Two Data Careers Compared

Whenever you send an email, post a Tweet, run a search on Google, or buy something online, data is generated. In fact, data was generated as soon as you landed on this page, which tracks visitors.But, the data collected on the internet by itself is not very meaningful. In its raw form – which means before it has been analyzed

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Learn Python for Data Science: A Guide

According to a study by KDnuggets, Python was used by 65.6% of data scientists as of May 2018. The study found that Python was the most popular programming language, followed by R.There are many reasons why Python has become so popular in data science.First, Python has an easy-to-use syntax, which means that acquiring the language is not as difficult as

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Top 25 Python Interview Questions

Python is an in-demand programming language in the field of data science.In Stack Overflow’s 2019 Developer Survey, which studied the habits and preferences of over 90,000 developers, Python was found to be the fourth most-popular programming language favored by survey recipients. That’s not all: Python was the second “most loved” programming language in the study.While Python has a wide variety

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