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High-Performance computation in Python | NumPy

In this article, I will present the concept of data vectorization using a NumPy library. We will benchmark several approaches to compute Euclidean Distance efficiently. NumPy is a Python library for manipulating multidimensional arrays in a very efficient way. It is also a base for scientific libraries (like pandas or SciPy) that are commonly used …

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Text Summarization in Python

Summarization is useful whenever you need to condense a big number of documents into smaller texts. Anyone who browsed scientific papers knows the value of abstracts – unfortunately, in general documents don’t share this structure. This article is an overview of some text summarization methods in Python.  

Serverless, takeaways from the AWS re:Invent 2018

Recently, in Semantive we have started to use serverless principles in our projects quite extensively and re:Invent proved to be a perfect place to learn something new and see how others deal with problems related to this technology. Serverless, along with Deep Learning was one of the most prominent topics highlighted during sessions and keynotes. …

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Part 2. Asynchronous actions within AWS Step Functions without servers

In the previous post of this series, the high-level idea of running asynchronous processes using Activity Task for synchronization has been described. Also several other solutions to this problem have been compared. In this post the details of the implementation are discussed.

Part 1. Asynchronous actions within AWS Step Functions without servers

Running another asynchronous process from within the Step Functions is a non-trivial task. Traditional approaches have many shortcomings which may make them unfeasible in production environment. The Activity Task can be used to solve this issue and avoid most of common problems. It is achieved by using pattern similar to Correlation Identifier. In first part …

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