plotly.py 3.0 releases

Team at plotly excitingly announces the biggest release of plotly pythonic interface, plotly.py 3.0. This new release comes with great support to Jupyter and...

Uber’s kepler.gl, an open source toolbox for GeoSpatial Analysis

Geography Visualization, also called as Geovisualization plays a pivotal role in areas like cartography, geographic information systems, remote sensing and global positioning systems. Uber,...
tools

Python, Tensorflow, Excel and more – Data professionals reveal their top tools

Data professionals are constantly on the lookout for the best tools to simplify their data science tasks - be it data acquisition, machine learning,...
cleaning data

Data cleaning is the worst part of data analysis, say data scientists

The year was 2012. Harvard Business Review had famously declared the role of data scientist as the ‘sexiest job of the 21st century’. Companies...

Why Enterprises love the Elastic Stack

Business insights has always been a hotspot by companies and with data that keep flowing, growing and becoming fat by the day, analytics need...
Library shelves

Top 7 libraries for geospatial analysis

The term geospatial refers to finding information that is located on the earth's surface. This can include, for example, the position of a cellphone...
operator overloading in kotlin

Introducing Dask: The library that makes scalable analytics in Python easier

Python’s rise as the preferred language of choice in Data Science is unprecedented, but not really unexpected. Apart from being a general-purpose language which...
pandas

pandas 0.23 released

From its previous major release v0.22, the contributors of pandas release the next major version 0.23.0 with numerous new features, enhancements, lists of API...
data science terms

30 common data science terms explained

Let’s begin at the beginning. What do terms like statistical population, statistical comparison, statistical inference mean? What good is munging, coding, booting, regularization etc....
The core components of the data mining architecture?

What does the structure of a data mining architecture look like?

Any good data mining project is built on a robust data mining architecture. Without it, your project might well be time-consuming, overly complicated or...

Must Read in Data

Polyglot persistence: what is it and why does it matter?

Polyglot persistence is a way of storing data. It's an approach that acknowledges that often there is no one size fits all solution to...

Interviews

Interviews