{"id":309,"date":"2021-07-18T00:00:00","date_gmt":"2021-07-18T00:00:00","guid":{"rendered":"https:\/\/tac.debuzzify.com\/?p=309"},"modified":"2023-06-27T06:30:06","modified_gmt":"2023-06-27T06:30:06","slug":"how-to-speed-up-python-data-pipelines-up-to-91x","status":"publish","type":"post","link":"https:\/\/www.the-analytics.club\/how-to-speed-up-python-data-pipelines-up-to-91x\/","title":{"rendered":"How to Speed up Python Data Pipelines up to 91X?"},"content":{"rendered":"\n
The frustrating thing about being a data scientist is waiting for big-data pipelines to finish.<\/p>\n\n\n\n
Although Python is the romantic language of data scientists, it isn’t the fastest. This scripting language is interpreted at the time of execution, making it slow and parallel executions hard. Sadly, not every data scientist is an expert<\/a> in C++.<\/p>\n\n\n\n What if there is a way to run Python codes with\u00a0parallel execution and at the speed of compiled codes? That’s the problem Tuplex is solving.<\/p>\n\n\n\n\n