Bounter is a Python library, written in C, for extremely fast probabilistic counting of item frequencies in massive datasets, using only a small fixed memory footprint. However, unlike dict or Counter, Bounter can process huge collections where the items would not even fit in RAM.
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By Category: Uncategorized The major challenge which a data scientists face today is to visualize or understand the data and spot the complexity within the given data set and which results in spending lot of time in plotting graphs, finding correlations and feature engineering.
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We should all be automating our image compression. In 2017, image optimization should be automated. It’s easy to forget, best practices change, and content that doesn’t go through a build pipeline can easily slip. To automate: Use imagemin or libvips for your build process. Many alternatives exist.
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You have come to the right place!
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Building a web push should be straight forward. But while implementing it, I found the resources lacks and there is no straight forward guide to follow and implement it in your existing stack or form scratch. Which make sense as its still in early days.
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I’ve been itching to write this article since I authored Python vs Copy on Write last year. To recap, I found myself awake at 4 AM trying to performance tune the cache on a long running ETL written in Python.
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Recent years have produced many promising data sets and algorithms for machine learning. New techniques like deep learning require significant computational power, often beyond what you may have on your desk.
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