- tags
- Programming languages, Coding
Code tips
Categories to one-hot
This is a handy technique but can be very resource intensive for large arrays.
import numpy as np
a = np.random.randrange(5, size=10)
one_hot_a = np.eye(5)[a]
Side-output for jupyter notebooks
Insert the following block in a notebook cell and execute as code (From Twitter). This will put the output of each cell on the side of the code.
%%html
<style>
#notebook-container {width: 100%; background-color: #EEE}
.code_cell {flex-direction: row !important;}
.code_cell .output_wrapper {width: 50%;background-color: #FFF}
.code_cell .input {width: 50%;background-color: #FFF}
</style>
Convert the code cell to markdown to cancel.
Dataclasses
Dataclass can be used to automatically generate special methods like __init__() and __repr__() for a python class.
from dataclasses import dataclass
@dataclass
class InventoryItem:
"""Class for keeping track of an item in inventory."""
name: str
unit_price: float
quantity_on_hand: int = 0
def total_cost(self) -> float:
return self.unit_price * self.quantity_on_hand
Pathlib
Pathlib is an extremely useful library for manipulating paths. It is less cumbersome than using os.path.join() repeatedly.
from pathlib import Path
p = Path('/')
print("List subdir:", [x for x in p.iterdir() if x.is_dir()])
q = p / 'init.d' / 'reboot'
print(q)
print(q.resolve())
print(q.exists())
print(q.is_dir())
with q.open() as f: f.readline()