Contents

Alternative Approach

This section covers some alternatives approaches to work with Python.

Box: Using Dot Notation to Access Keys in a Python Dictionary

!pip install python-box[all]

Do you wish to use dict.key instead of dict['key'] to access the values inside a Python dictionary? If so, try Box.

Box is like a Python dictionary except that it allows you to access keys using dot notation. This makes the code cleaner when you want to access a key inside a nested dictionary like below.

from box import Box

food_box = Box({"food": {"fruit": {"name": "apple", "flavor": "sweet"}}})
print(food_box)

{'food': {'fruit': {'name': 'apple', 'flavor': 'sweet'}}}

print(food_box.food.fruit.name)

apple

Link to Box.

decorator module: Write Shorter Python Decorators without Nested Functions

!pip install decorator

Have you ever wished to write a Python decorator with only one function instead of nested functions like below?

from time import time, sleep


def time_func_complex(func):
    def wrapper(*args, **kwargs):
        start_time = time()
        func(*args, **kwargs)
        end_time = time()
        print(
            f"""It takes {round(end_time - start_time, 3)} seconds to execute the function"""
        )

    return wrapper


@time_func_complex
def test_func_complex():
    sleep(1)


test_func_complex()

It takes 1.001 seconds to execute the function

If so, try decorator. In the code below, time_func_simple produces the exact same results as time_func_complex, but time_func_simple is easier and short to write.

from decorator import decorator


@decorator
def time_func_simple(func, *args, **kwargs):
    start_time = time()
    func(*args, **kwargs)
    end_time = time()
    print(
        f"""It takes {round(end_time - start_time, 3)} seconds to execute the function"""
    )


@time_func_simple
def test_func_simple():
    sleep(1)


test_func_simple()

It takes 1.001 seconds to execute the function

Check out other things the decorator library can do.

pydash.chunk: Split Elements in a List into Groups of n Items

!pip install pydash 

Collecting pydash
  Using cached pydash-5.0.2-py3-none-any.whl (84 kB)
Installing collected packages: pydash
Successfully installed pydash-5.0.2

If you want to split elements in a list into groups of n items, use pydash.chunk.

from pydash import py_

a = [1, 2, 3, 4, 5]
print(py_.chunk(a, 2))  # [[1, 2], [3, 4], [5]]

[[1, 2], [3, 4], [5]]

Link to pydash

Link to my article about pydash

virtualenv-clone: Create a Copy of a Virtual Environment

Sometimes you might want to use the same virtual environment for 2 different directories. If you want to create a copy of a virtual environment, use virtualenv-clone.

The code below shows how to use virtualenv-clone.

$ pip install virtualenv-clone
$ virtualenv-clone old_venv/ new_venv/

$ source new_venv/bin/activate

Link to virtualenv-clone.