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Welcome to the 8th edition of our Top Python Libraries list! We are excited to present this year's picks for the most innovative developments in the Python ecosystem. From this edition, we are expanding our list to include not only libraries per-se, but also tools that are built to belong in the Python ecosystem — some of which are not written in Python as you’ll see. The rules for selection are t
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What is wrong with you, Python?!Python is by far the most used language in machine learning, and Google has a ton of machine learning libraries and tools written in it. So, why Swift? What's wrong with Python? To put it bluntly, Python is slow. Also, Python is not great for parallelism. To get around these facts, most machine learning projects run their compute-intensive algorithms via libraries w
We hope you enjoy it as much as we did creating it, so here we go! 1. HTTPXAs a die-hard Python fan who usually interacts with APIs, you are probably familiar with the requests library. However, requests will do no good for you if you are using the async paradigm, which is increasingly common in high performance modern applications. To solve this, the awesome Tom Christie and collaborators bring u
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Again, we try to avoid most established choices such as Django, Flask, etc. that are kind of standard nowadays. Also, some of these libraries date prior to 2016, but either they had an explosion in popularity this year or we think they are great enough to deserve the spot. Here we go! 1. ZappaSince the release of AWS Lambda (and others that have followed), all the rage has been about serverless ar
Deep Learning has been the core topic in the Machine Learning community the last couple of years and 2016 was not the exception. In this article, we will go through the advancements we think have contributed the most (or have the potential) to move the field forward and how organizations and the community are making sure that these powerful technologies are going to be used in a way that is benefi
Everyone and their grandma seems to be writing top 10 lists, so we couldn't be less and compiled our own. Here is a list of the best 10 Python libraries you should know about that we have used in 2015, in no particular order. We try to avoid most established choices such as Django, Flask, Django Rest Framework, etc. and go for libraries that might not be as well known. Fasten your seatbelt, here w
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