Module tf.about.install


If you have already Python on your machine

Make sure you have at least Python 3.7.0

Recommended: install JupyterLab: fire up a terminal (= command prompt) and say

pip install jupyterlab

To get text-fabric, you can either fire up a terminal and say:

pip install 'text-fabric[all]'

or fire up a Jupyter Notebook (jupyter lab)

and in a cell say

!pip install 'text-fabric[all]'

If you are in a notebook on an iPad, you can not install the full text-fabric. The iPad cannot install the libraries needed for the Text-Fabric browser. To install a reduced text-fabric, say

!pip install text-fabric

Now restart this notebook by clicking the circular arrow in the toolbar:


If you do not have Python

The fastest way to set up everything you need to use Text-Fabric is by installing the JupyterLab Desktop application.

This installs both JupyterLab and Python in one go, as a desktop application running under Macos, Linux or Windows.

The Jupyter Desktop App can be downloaded from jupyterlab-desktop, choose the one that fits your system.

After downloading, go to your downloads folder and install the application in the way you are used to, but notice the following:

on macos: right-click the .pkg file, answer the dialogbox with OK.

on all platforms: install for the current user, not for all users, otherwise you run into problems later on.

macos: click "Change install location" and set it to "Install for me only"

linux: after installation, run the following command from a terminal where username should be changed to your username on the system:

sudo chown -R username:username /opt/JupyterLab

windows: no extra instructions. Two installers will be launched, let them work with the same default location for installation.

Work with Text-Fabric

In a notebook, put this incantation in a cell and run it:

from import use

And in a next cell, load the data of some corpus, e.g. annotation/banks.

A = use("annotation/banks")

The first time you do this you will see that the data is being downloaded and prepared for its first use. If you do this a second time, the data is already on your computer in preprocessed form, and Text-Fabric will see that data and load it quickly.

From here you can use a tutorial.

More extensive tutorials are available for other corpora, see tf.about.corpora.

Text-Fabric browser

You can also work with Text-Fabric outside any programming context, just in the browser.

In a terminal, say

text-fabric annotation/banks

Or, in a notebook cell, say

!text-fabric annotation/banks

Wait a few seconds and you see a new window in your browser with an interface to submit queries to the corpus.

Note for Linux users

  • On Ubuntu the text-fabric script ends up in your ~/.local/bin directory, but this is not on your PATH.
  • You need to execute your .profile file first by:
source ~/.profile

You need to do this every time when you open a new terminal and want to run Text-Fabric. If you get tired of this, you can add this to your .bashrc file:

export PATH

Note on [all]

Text-Fabric has some special capabilities:

  • browser: the Text-Fabric browser, which runs a local webserver which lets you have a browse and search experience in a local web environment;
  • github and gitlab: repository backends from which Text-Fabric can load corpus data on-demand.
  • pandas: for exporting a dataset to Pandas.

You can install Text-Fabric with a selection of capabilities:

  • pip install 'text-fabric' without additional capabilities
  • pip install 'text-fabric[all]' with all additional capabilities
  • pip install 'text-fabric[github]' with a github backend
  • pip install 'text-fabric[gitlab]' with a gitlab backend
  • pip install 'text-fabric[browser]' with the text-fabric browser enabled
  • pip install 'text-fabric[pandas]' with pandas export enabled
  • pip install 'text-fabric[github,browser]' with the selected extras
  • pip install 'text-fabric[github,gitlab]' with the selected extras

Even if Text-Fabric is not installed with certain capabilities, it will have those capabilities if the required modules are installed. To see which modules are required for which extras, consult setup.cfg.

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.. include:: ../docs/about/