A RetroSearch Logo

Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Search Query:

Showing content from http://reference.wolfram.com/language/WolframClientForPython/ below:

Wolfram Client Library for Python — Wolfram Client Library for Python 1.4.1 documentation

Install the library:

$ pip install wolframclient

Set up your Wolfram Language session:

>>> from wolframclient.evaluation import WolframLanguageSession
>>> from wolframclient.language import wl, wlexpr
>>> session = WolframLanguageSession()

Evaluate any Wolfram Language code from Python:

>>> session.evaluate(wlexpr('Range[5]'))
[1, 2, 3, 4, 5]

Immediately call all 6000+ built-in Wolfram Language functions in Python:

>>> session.evaluate(wl.MinMax([1, -3, 0, 9, 5]))
[-3, 9]

Build up Wolfram Language code directly in Python:

>>> func_squared = wlexpr('#^2 &')
>>> session.evaluate(wl.Map(func_squared, wl.Range(5)))
[1, 4, 9, 16, 25]

Direct support for PIL, Pandas and NumPy libraries:

Create a Pandas DataFrame:

>>> import pandas
>>> df = pandas.DataFrame({'A': [1, 2], 'B': [11, 12]}, index=['id1', 'id2'])
>>> df
       A   B
id1    1  11
id2    2  12

Apply Wolfram Language function directly to the DataFrame:

>>> session.evaluate(wl.Total(df))
{'A': 3, 'B': 23}

Define native Python functions:

>>> str_reverse = session.function(wl.StringReverse)
>>> str_reverse('abc')
'cba'

Represent Wolfram Language expressions as Python objects:

Use object representation:

>>> wl.Quantity(12, "Hours")
Quantity[12, 'Hours']

Use string representation:

>>> wlexpr('f[x_] := x^2')
(f[x_] := x^2)

Within your Python environment, the Wolfram Client Library for Python lets you:

Access the power of Wolfram algorithms:

Get immediate access to the world's largest integrated algorithmbase:

>>> limit = wlexpr('Limit[x Log[x^2], x -> 0]')
>>> session.evaluate(limit)
0

Access the Wolfram Knowledgebase:

Get the closest ocean:

>>> ocean = wlexpr('GeoNearest[Entity["Ocean"], Here]')
>>> session.evaluate(ocean)
[Entity['Ocean', 'AtlanticOcean']]

Use Wolfram's natural language understanding in Python:

Query

Wolfram|Alpha

directly in Python:

>>> session.evaluate(wl.WolframAlpha("number of moons of Saturn", "Result"))
62

Terminate the session and release all resources:


RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4