Whether you’re a programmer with little to no knowledge of Python, or an experienced data scientist or engineer, this Learning Path will walk you through natural language processing, using both Python and Scala, and show you how to implement a range of popular tools including Spark, scikit-learn, SpaCy, NLTK, and gensim for text mining.
Python from Scratch LiveLessons is a gentler, more entertaining, and more practical starting point to learning the Python programming language. Unlike the typical approach to teaching a programming language that covers each feature section by section, this course is structured more like a cooking class. You can follow along and execute all the code being demonstrated in an interactive notebook as you watch the video, much the same way you would watch a cooking video in your kitchen.
Make projects with Python
The latest in modern Python recipes for the busy modern programmer covering the essential fundamentals of Python Programming
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.
Even though computers can't read, they're very effective at extracting information from natural language text. They can determine the main themes in the text, figure out if the writers of the text have positive or negative feelings about what they've written, decide if two documents are similar, add labels to documents, and more.
Reactive programming is shaping the future of how we model data. With reactive, not only can you concisely wrangle and analyze static data, you can effectively work with data as a real-time infinite feed. Reactive Extensions (Rx) first gained traction in 2009 and has been ported to over a dozen major languages and platforms.