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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.

Write clean, modular code with the next generation JavaScript framework

This course teaches you how to create a stand-alone MySQL database and how to add, change, delete, and query data within that database. You'll develop a basic understanding of relational databases and gain hands-on experience with the typical software tools application developers, business analysts, and database report writers use to create and work with MySQL databases.

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.

More than nine hours of video instruction on configuration and troubleshooting tasks to prepare you for the Cisco CCNA Cyber Ops SECFND 210-250 certification exam.

If you're building relational, time series, IoT, or real-time architectures using Hadoop, you should be familiar with Apache Kudu. Kudu enables fast analytics on fast data by completing Hadoop’s storage layers, providing a new option to achieve fast scans and fast random access from a single API. This Learning Path introduces you to Apache Kudu, exploring what it is, when to use it, and how to use it in conjunction with popular Hadoop ecosystem tools. You’ll apply this knowledge by building and running a real-time analytical application using Kudu, Impala, Kafka, and Spark.

Use the advanced features of Julia to work with complex data

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