Learn how to make your Python code more efficient by using algorithms to solve a variety of tasks or computational problems. In this video course, you’ll learn algorithm basics and then tackle a series of problems—such as determining the shortest path through a graph and the minimum edit distance between two genomic sequences—using existing algorithms.
Learn how to make your Python code more efficient by using algorithms to solve a variety of tasks or computational problems. In this video course, you’ll learn algorithm basics and then tackle a series of problems—such as determining the shortest path through a graph and the minimum edit distance between two genomic…
Road to creating optimized applications
Don't be limited by the Python you already know. You're ready to move beyond the skills you use everyday to more ambitious programming—and you're in the right place. Part of Python's appeal is how easily it can be used for a wide range of purposes. Get ready to learn some of the amazing features that are unique to Python and see how powerful it can be.
After taking this course, you can start mastering ExpressJS by building RESTful APIs for your single-page applications (powered by AngularJS, ReactJS, BackboneJS or any other front-end framework). With ExpressJS, developers can easily organize their code (middleware pattern), add more functionality (npm modules) and configure the server (configuration over convention).
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.
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.
Build fully-featured mobile applications with Ionic 2 and Angular 2