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.

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 ...

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 ...

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 ...

It outfits Python with new data types for loading data fast from tabular sources, and for manipulating, aligning, merging, and doing other processing at scale. Pandas is not part of the Python ...

High minus low, or excess returns of value stocks with a high book-to-price ... to customize analysis and manipulate data their way. Looking for more ways to use Python for style analysis?

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 ...

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 ...

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 ...