Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Among the many use cases Python covers, data analytics has become perhaps ...

I've written a lot about data analysis with Python recently. I wanted to explain why it's been a language of choice. Here are some of the reasons I find Python so easy to use, yet powerful. Python ...

Since the year 1950, the world has seen the emergence of more than a few programming languages. Be it JAVA, C, C++, Python or C#, every language eas designed to serve a purpose. Over time, people ...

Python has some wonderful libraries for statistical analysis, but they might be overkill for simple tasks. The built-in statistics library might be what you want instead. Here are some things you can ...

Github has grown to more than 40 million developers and its growth is getting a big boost from data science, artificial intelligence and machine learning repositories. In its annual Octoverse report, ...

SciPy, Numba, Cython, Dask, Vaex, and Intel SDC all have new versions that aid big data analytics and machine learning projects. If you want to master, or even just use, data analysis, Python is the ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

With countless applications and a combination of approachability and power, Python is one of the most popular programming ...