X4DS

Python & Julia port of codes in the following excellent R books (including exercises):

• An Introduction to Statistical Learning (ISLR)
• Statistical Rethinking (SRT)

Tidyverse port also will be included.

Code Styles

basics

• use enumerate() rather than range(len())

xs = range(3)

# good
for ind, x in enumerate(xs):
  print(f'{ind}: {x}')

# bad
for i in range(len(xs)):
  print(f'{i}: {xs[i]}')

matplotlib

• use Axes object rather than Figure object

# good
_, axes = plt.subplots(1, 2, constrained_layout=True)
axes[0].plot(x1, y1)
axes[1].hist(x2, y2)

# bad
plt.subplot(121)
plt.plot(x1, y1)
plt.subplot(122)
plt.hist(x2, y2)

• use set() method rather than set_*() method

# good
ax.set(xlabel='x', ylabel='y')

# bad
ax.set_xlabel('x')
ax.set_ylabel('y')

References

• https://github.com/a-martyn/ISL-python
• https://github.com/tndoan/ISLR.jl

GitHub

https://github.com/gitony0101/X4DS