![]() ![]() If you’re unsure of which datasets/models you’ll need, you can install the “popular” subset of NLTK data, on the command line type python -m nltk.downloader popular, or in the Python interpreter import nltk nltk. Test installation: Start>Python38, then type import nltkĪfter installing the NLTK package, please do install the necessary datasets/models for specific functions to work. Install Python 3.8: (avoid the 64-bit versions) These instructions assume that you do not already have Python installed on your machine. pip install -U sphinx On Windows, you should open Command Prompt ( Win-r and type cmd) and run the same command. On Linux or MacOS, you should open your terminal and run the following command. This tool is provided with all modern versions of Python. ![]() Step 2: Execute the downloaded python file to install pip: python3 get-pip.py This will install the pip3 onto your system. curl -o get-pip.py Note: curl is a command-line utility that we have used to download the get-pip.py file. Test installation: run python then type import nltkįor older versions of Python it might be necessary to install setuptools (see ) and to install pip ( sudo easy_install pip). Brew and Pip are two of the more popular options for package installers when using the script language Python. The preferred tool for installing packages from PyPI is pip. Step 1: Download the getpip python file to install pip. Install Numpy (optional): run pip install -user -U numpy Install NLTK: run pip install -user -U nltk Please go through this guide to learn how to manage your virtual environment managers before you install NLTK, Īlternatively, you can use the Anaconda distribution installer that comes “batteries included” Mac/Unix ¶ At this point, you have the system Python 2.7 available, potentially. NLTK requires Python versions 3.7, 3.8, 3.9, 3.10 or 3.11.įor Windows users, it is strongly recommended that you go through this guide to install Python 3 successfully Setting up a Python Environment (Mac/Unix/Windows) ¶ Homebrew installs pip pointing to the Homebrewd Python 3 for you. ![]()
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