This course aims to introduce people that know how to code in Python into the Data Science world. In particular I show tricks and tips useful for STEM/economic students. One of secondary goals is to ...

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 ...

Already using NumPy, Pandas, and Scikit-learn? Here are five more powerful Python data science tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big ...

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases. The code in the book was tested with Python 3.5, though most (but ...

Both data science and machine learning are highly desired skills from employers, and this bundle covers some of the most important learning frameworks for Python data science, like Tensorflow and ...

Who is your target audience? My book is about pandas – you simply can’t do data science in Python without pandas – and it covers data analysis and machine learning. Since data skills have ...

The new Python Data Science pack, sporting 206 installs at the time of this writing, also comes with a data-centric component, so in total it bundles: Those first three tools, Python, Pylance and ...

But data science is a specific field, so while Python is emerging as the most popular language in the world, R still has its place and has advantages for those doing data analysis. Hoping to ...