Background: I'm a statistician data scientist ... Dive Into Python 3. Its style of offering plenty of examples, going from simple to complex, makes for a very readable book. And it's free.

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 ...

Python is simple and has a sizable developer community that can assist you with data analysis using the tool. Because Python has so many innovative libraries available for data analysis and ...

However, in recent years the open source community has developed increasingly-sophisticated data manipulation, statistical analysis, and machine learning libraries for Python. We are now at the point ...

I hope that it’ll be useful to those who already have a background in software or Python, but who are looking for an easy-to-scan reference to use in data analysis projects. Python is easy to ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks. Learning to code, whether with Python, JavaScript ...

You can acquire valuable skills in "Python Data Analysis with NumPy & Pandas", "Data Mining with Python: Real-Life Data Science Exercises", and "Image Processing & Analysis with OpenCV and ...

The data is clean, consistent, and ready for analysis. While Excel offers several functions and tricks to analyze sales trends, Python takes the entire experience to the next level. Whenever I ...

The Python ecosystem is loaded with libraries, tools, and applications that make the work of scientific computing and data analysis fast and convenient. But for the developers behind the Julia ...

DARPA (the U.S. Defense Advanced Research Projects Agency) has awarded $3 million to software provider Continuum Analytics to help fund the development of Python’s data processing and ...