--- title: How will you efficiently load data from a text file? description: How will you efficiently load data from a text file? --- [Skip to content](https://help.datasciencedojo.com/migration/how-will-you-efficiently-load-data-from-a-text-file#main-content) English Show submenu for translations [Customer portal](https://help.datasciencedojo.com/tickets-view?hsLang=en) ![DSD main logo.png\]](https://help.datasciencedojo.com/hs-fs/hubfs/DSD%20main%20logo.png?height=40&name=DSD%20main%20logo.png) - [Default HubSpot Blog](https://help.datasciencedojo.com/blog) Open main navigation Close main navigation - [Default HubSpot Blog](https://help.datasciencedojo.com/blog) - English Show submenu for translations - [Customer portal](https://help.datasciencedojo.com/tickets-view) - Go to datasciencedojo.com Go to datasciencedojo.com How can we help? - There are no suggestions because the search field is empty. 1. [Help Center](https://help.datasciencedojo.com/migration?hsLang=en) 2. [Python Programming](https://help.datasciencedojo.com/migration/python-programming?hsLang=en) # How will you efficiently load data from a text file? We can use the method numpy.loadtxt() which can automatically read the file’s header and footer lines and the comments if any.   This method is highly efficient and even if this method feels less efficient, then the data should be represented in a more efficient format such as CSV etc. Various alternatives can be considered depending on the version of NumPy used.   Following are the file formats that are supported:   Text files: These files are generally very slow, huge but portable and are human-readable. Raw binary: This file does not have any metadata and is not portable. But they are fast. Pickle: These are borderline slow and portable but depends on the NumPy versions. HDF5: This is known as the High-Powered Kitchen Sink format which supports both PyTables and h5py format. .npy: This is NumPy's native binary data format which is extremely simple, efficient and portable. - [Data Science Bootcamp](https://help.datasciencedojo.com/migration/data-science-bootcamp?hsLang=en#main-content) - [Certificate](https://help.datasciencedojo.com/migration/data-science-bootcamp?hsLang=en#certificate) - [Logistics](https://help.datasciencedojo.com/migration/data-science-bootcamp?hsLang=en#logistics) - [Curriculum](https://help.datasciencedojo.com/migration/data-science-bootcamp?hsLang=en#curriculum) - [Target Audience](https://help.datasciencedojo.com/migration/data-science-bootcamp?hsLang=en#target-audience) - [Talk to an Advisor](https://help.datasciencedojo.com/migration/data-science-bootcamp?hsLang=en#talk-to-an-advisor) - [Prerequisites](https://help.datasciencedojo.com/migration/data-science-bootcamp?hsLang=en#prerequisites) - [Pricing](https://help.datasciencedojo.com/migration/data-science-bootcamp?hsLang=en#pricing) - 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