What are the advantages and prerequisites of using Gensim

This recipe explains what are the advantages of using Gensim library and discusses the prerequisites needed for using Gensim

Recipe Objective: What are the advantages and prerequisites of using Gensim?

Gensim is open-source, platform-independent, and superfast. It provides -

  Data streaming – There is no requirement for the entire training corpus to be stored in RAM at any given time. Gensim uses data streaming to process massive, web-scale corpora.
  Performance – C, BLAS, and memory-mapping are used to construct highly optimized standard vector space algorithms implementations.
  Ready-to-use models and corpora – Through the Gensim-data initiative, the Gensim community also provides pre-trained models for specific areas such as legal or health.

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Prerequisites

Gensim supports Linux, Windows, and Mac OS X and should run on any other platform that supports Python 3.6+ and NumPy. Gensim depends on the following software:

  Python (3.6, 3.7, or 3.8)
  NumPy (for number crunching)
  smart_open (for transparently opening files on a remote storage or compressed files)

First things first, we must have python installed on our computers. Next, we need NumPy, a Python module for scientific computing. It can also be used to store generic data in a multi-dimensional container. For number crunching, Gensim relies on the NumPy package. smart_open can stream data from and to S3, HDFS, WebHDFS, HTTP, HTTPS, SFTP, and local filesystems. For seamlessly opening files on remote storage and compressed files, Gensim relies on the Python package smart open.

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