Author: John Au-Yeung

Sometimes, we want to check if a word is an English word with Python.

In this article, we’ll look at how to check if a word is an English word with Python.

How to check if a word is an English word with Python?

To check if a word is an English word with Python, we can use the enchant module.

To install it, we run:

pip install pyenchant

Then we can use it by writing:

import enchant

d = enchant.Dict("en_US")
print(d.check("Hello"))
print(d.suggest("Helo"))

We return the enchant dictionary object with the enchant.Dict class with the locale string as its argument.

Then we call d.check with a string to check if the string is an English word.

And we also called d.suggest with a string to check if there’re any English words close to the string argument.

Therefore, we see:

True
['He lo', 'He-lo', 'Hello', 'Helot', 'Help', 'Halo', 'Hell', 'Held', 'Helm', 'Hero', "He'll"]

from the print output.

Conclusion

To check if a word is an English word with Python, we can use the enchant module.

Sometimes, we want to compare two DataFrames and output their differences side-by-side with Python Pandas.

In this article, we’ll look at how to compare two DataFrames and output their differences side-by-side with Python Pandas.

How to compare two DataFrames and output their differences side-by-side with Python Pandas?

To compare two DataFrames and output their differences side-by-side with Python Pandas, we can use the data frame’s compare method.

For instance, we write:

import pandas as pd

df1 = pd.DataFrame({'a': [1, 2], 'b': [3, 4]})
df2 = pd.DataFrame({'a': [1, 2], 'b': [3, 5]})
changed = df1.compare(df2)
print(changed)

We create 2 data frames df1 and df2.

Then we call df1.compare with df2 to compare the difference between df1 and df2.

Therefore, changed is:

     b      
  self other
1  4.0   5.0

Conclusion

To compare two DataFrames and output their differences side-by-side with Python Pandas, we can use the data frame’s compare method.

Sometimes, we want to retrieve parameters from a URL with Python.

In this article, we’ll look at how to retrieve parameters from a URL with Python.

How to retrieve parameters from a URL with Python?

To retrieve parameters from a URL with Python, we can use the urllib module.

For instance, we write:

from urllib.parse import urlparse
from urllib.parse import parse_qs

url = 'https://www.example.com/some_path?some_key=some_value'
parsed_url = urlparse(url)
captured_value = parse_qs(parsed_url.query)['some_key'][0]

print(captured_value)

We have the url that we want to parse the query string part for.

To do that, we call urlparse with the url.

Then we call parse_qs on the query string part of the URL which is stored in parsed_url.query.

And finally we get the value by the key with parse_qs(parsed_url.query)['some_key'][0] .

Therefore, captured_value is 'some_value'.

Conclusion

To retrieve parameters from a URL with Python, we can use the urllib module.

Sometimes, we want to bind an unbound method with Python.

In this article, we’ll look at how to bind an unbound method with Python.

How to bind an unbound method with Python?

To bind an unbound method with Python, we can use the types.MethodType method.

For instance, we write:

import types


def f(self):
    print(self)


class C:
    pass


meth = types.MethodType(f, C)
meth()

We have the f function that prints the value of self.

Then we set self to C by using types.MethodType(f, C) and assign the returned function to meth.

Therefore, when we call meth, we see:

<class '__main__.C'>

printed.

Conclusion

To bind an unbound method with Python, we can use the types.MethodType method.

Sometimes, we want to filter a dictionary according to an arbitrary condition function with Python

In this article, we’ll look at how to filter a dictionary according to an arbitrary condition function with Python

How to filter a dictionary according to an arbitrary condition function with Python?

To filter a dictionary according to an arbitrary condition function with Python, we can use dictionary comprehension.

For instance, we write:

points = {'a': (3, 4), 'b': (1, 2), 'c': (5, 5), 'd': (3, 3)}
new_points = {k: v for k, v in points.items() if v[0] < 5 and v[1] < 5}
print(new_points)

We define the points dictionary and we want to return a new dictionary with the tuples entries all less than 5.

To do this, we write:

new_points = {k: v for k, v in points.items() if v[0] < 5 and v[1] < 5}

v is the dictionary entry’s value being looped through, which is the tuple.

We assign that to new_points and we get that it’s:

{'a': (3, 4), 'b': (1, 2), 'd': (3, 3)}

Conclusion

To filter a dictionary according to an arbitrary condition function with Python, we can use dictionary comprehension.