A Practical Guide to Continuous Delivery is a 100% practical guide to building Continuous Delivery pipelines that automate rollouts, improve reproducibility, and dramatically reduce risk. Eberhard Wolff introduces a proven Continuous Delivery technology stack and guides you through applying these technologies throughout build, continuous integration, load testing, acceptance testing, and monitoring.
Move Beyond Spreadsheets into Automated Data Workflows
Pandas Data Analysis with Python Fundamentals LiveLessons provides analysts and aspiring data scientists with a practical introduction to Python and pandas, the analytics stack that enables you to move from spreadsheet programs such as Excel into automation of your data analysis workflows. After watching Daniel Y. Chen's instruction, analysts and those new to data science will understand why Python and pandas are so popular with data scientists and should be able to begin to create automated data workflows.
Build Predictive Models and Create Interactive Visual Applications for Your Line of Business Using the Anaconda Platform
Data Science with Python and R LiveLessons introduces data scientists to using Python and R for building on an ecosystem of hundreds of high performance open source tools. Instructor Ian Stokes-Rees demonstrates the fundamentals of data preparation, data analysis, data visualization, machine learning, and interactive data science applications.