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A Comparative Analysis of Top Data Visualization Tools

A Comparative Analysis of Top Data Visualization Tools

Nowadays, there is a huge list of powerful visualization tools to help you illustrate your ideas, visualize your data, make it talk, share your significant analytics with customers and the global community. In this article, we will compare the most commonly used platforms and analyze their main features to help you choose one or several platforms that will provide indispensable aid for your work communication.

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Top 15 Scala Libraries for Data Science in 2018

Top 15 Scala Libraries for Data Science in 2018

In our previous articles, we have discussed the top Python libraries for data science. This time we will focus on Scala, which has recently become another prominent language for data scientists.

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Top 15 Python Libraries for Data Science in 2017

Top 15 Python Libraries for Data Science in 2017

As Python has gained a lot of traction in the recent years in Data Science industry, we wanted to outline some of its most useful libraries for data scientists and engineers, based on our experience.

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21 essential command line interface tools for Data Scientists

21 essential command line interface tools for Data Scientists

In this article, we are going to look at the most convenient tools for quick analysis of data stored in text files (logs, reports, etc.).

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6 Top Big Data and Data Science Trends 2017

6 Top Big Data and Data Science Trends 2017

Recently we stepped in the 2017 year, and it’s time to draw the conclusion about 2016. Our world is depending more and more on the data and information, businesses using data science and machine learning to handle an enormous amount of data. Such things as deep learning and artificial intelligence applications really took off, and we expect those and other important developments to continue. So, let’s have a look at top big data and data science trends for the year 2017.

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