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 ...

If you’ve ever found yourself staring at a messy spreadsheet of survey data, wondering how to make sense of it all, you’re not alone. From split headers to inconsistent blanks, the challenges of ...

Python is a popular general-purpose language, but it's increasingly favored for statistics, data analysis, and data science. If you have a basic knowledge of statistics, how can you apply that to ...

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 visualization ...

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 ...

Python, Julia, and Rust are three leading languages for data science, but each has different strengths. Here's what you need to know. The most powerful and flexible data science tool is a programming ...

What do you get when you combine the No. 1 code editor with the No. 1 programming language for data science? You get more than 60 million installs of the Python ...

Python for Everybody: Coursera Python 3 Programming: Coursera Applied Data Science with Python: Coursera Data Science Fundamentals with Python and SQL: Coursera Introduction to Programming with Python ...

Need help choosing the best Python ORM for your projects? Here's what you need to know about SQLAlchemy, PonyORM, Django ORM, Peewee, SQLObject, and Tortoise ORM. When you want to work with a ...