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The programming landscape of natural language processing has changed dramatically in the past few years. Machine learning approaches now require mature tools like Python’s scikit-learn to apply models to text at scale. Get started with Apache Flink, the open source framework that enables you to process streaming data – such as user interactions, sensor data, and machine logs – as it arrives. Streaming data is a big deal in big data these days, and for good reason. Businesses crave ever more timely data, and streaming is a good way to achieve lower latency.
Organizations – big and small – have started to realize just how crucial system and application reliability is to their business. Designing an API is complicated to begin with, but evolving your API design over time makes the process even more difficult. Ruby developers use the Ruby language as the yardstick for expressivity, flexibility, and elegance – and a large part of this is due to blocks, lambdas, and procs. Rails is a great tool for building web applications, but it’s not the best at everything. Embrace the features built into your database. Learn how to use front-end frameworks.
Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. Functional programming is on the rise because it lets you write simpler, cleaner code, and its emphasis on immutability makes it ideal for maximizing the benefits of multiple cores and distributed solutions. Cloud computing represents the greatest shift in computing in more than a decade. But the promise of the cloud is unrealized.
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