Tag: Anaconda

Feed: Planet Python. Author: . Worthy ReadbotImagine in your company slack team there's this person (we'll call him Jeff). Everything that Jeff says is patently Jeff. Maybe you've even coined a term amongst your group: a Jeffism. What if you could program a Slack bot that randomly generates messages that were undeniably Jeff? core pythonLearn how to use Python’s ternary operator to create powerful “one-liners” and enhance logical constructions of your arguments. Byterun is a Python interpreter implemented in Python. Through my work on Byterun, I was surprised and delighted to discover that the fundamental structure of the Python interpreter ... Read More

Feed: Google Cloud Platform Blog Author: GCP Team Posted by Miles Ward, Global Head of Solutions In part one of this post, we looked at how to avoid lock-in with your cloud provider by selecting open-source software (OSS) that can run on a variety of clouds. Sounds good in theory, but I can hear engineers and operators out there saying, “OK, really, how do I do it?” Moving from closed to open isn’t just about knowing the names of the various OSS piece-parts and then POOF! — you're magically relieved of having to make tech choices for the next hundred ... Read More

Feed: Planet MySQL Author: Vicki Boykis I never thought I’d write “Microsoft” and “exciting” in the same sentence. I started my data career using Excel, which is a great tool for prototyping and sharing data quickly, and has been used by many people as a gateway to learning programming through VBA, but has none of the features someone serious about working with data could get behind: version control, testing, code review,cross-platform compatibility, or more than 1 million rows. Oh, also it crashes all the time. and has so many irritating bugs that it is sometimes almost unusable. Then there all ... Read More

Feed: Featured Blog Posts - Data Science Central Author: Emmanuelle Rieuf Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyze data using statistical and network-theoretical methods; and see actual examples of data analysis at work. This one-stop solution covers the essential data science you need in Python.Data science is one of the fastest-growing disciplines in terms of academic research, student enrollment, and employment. Python, ... Read More