Explore Python frameworks like pandas, Jupyter notebooks, and Matplotlib to build data pipelines and data visualizationKey FeaturesLearn to set up data analysis pipelines with pandas and Jupyter notebooksEffective techniques for data selection, manipulation, and visualizationIntroduction to Matplotlib for interactive data visualization using charts and plotsBook DescriptionThe pandas is a Python library that lets you manipulate, transform, and analyze data.
Reusing well-written, well-debugged, and well-tested code improves productivity, code quality, and software configurability and relieves pressure on software developers.
Sams Teach Yourself XML in 21 Days, written by expert author Steve Holzner, offers hundreds of real-world examples demonstrating the uses of XML and the newest tools developers need to make the most of it.
Virtualizing and Tuning Large-Scale Java Platforms Technical best practices and real-world tips for optimizing enterprise Java applications on VMware vSphere(R) Enterprises no longer ask, "e;Can Java be virtualized"e;?
Includes Coverage of Oracle and Microsoft SQL Implementations In just 24 lessons of one hour or less, Sams Teach Yourself SQL in 24 Hours, Sixth Edition, helps you use SQL to build effective databases, efficiently retrieve data, and manage everything from performance to security.
Learn to use one of the most powerful text processing and manipulation tools available Regular expression experts have long been armed with an incredibly powerful tool, one that can be used to perform all sorts of sophisticated text processing and manipulation in just about every language and on every platform.