Dmitry Nikolaev EtsuNDmA

## django_jupyter.md

      
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                EtsuNDmA
                / django_jupyter.md
            
            
              Last active
              April 29, 2024 04:42
            
              
                Two ways to integrate Django with Jupyter (JupyterLab)
              
          
    ⚠️ This gist was the first time written in 2018. It was tested with django==2.2.x. It's likely to be relevant for the newer versions of django and jupyter, but I did't check that.
2023-03-15: checked it for python == 3.11, django == 4.1.7, jupyterlab = 3.6.1, django-extensions == 3.2.1, jupyter-server <= 2.0.0
Django_jupyter

Using Django project in Jupyter or JupyterLab
Method 1 (using shell_plus)


## django_jupyter_settings.py
# Using Jupyter with Django
# Requires django_extensions
# For all settings see jupyter --help-all
BASE_DIR = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

try:
    import jupyterlab
    notebook_default_url = '/lab'  # Using JupyterLab
except ImportError:
    notebook_default_url = '/tree'  # Using Jupyter

## frechet.py
# Euclidean distance.
def euc_dist(pt1,pt2):
    return math.sqrt((pt2[0]-pt1[0])*(pt2[0]-pt1[0])+(pt2[1]-pt1[1])*(pt2[1]-pt1[1]))

def _c(ca,i,j,P,Q):
    if ca[i,j] > -1:
        return ca[i,j]
    elif i == 0 and j == 0:
        ca[i,j] = euc_dist(P[0],Q[0])
    elif i > 0 and j == 0:

## fork_sync.md

      
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                EtsuNDmA
                / fork_sync.md
            
            
              Last active
              December 8, 2023 12:56
            
              
                Синхронизация форка репозитория с исходным репозиторием
              
          
    Привет, дорогой друг!
Если ты здесь, то видимо ты обучаешься на курсе Data Mining in Action. Должно быть ты уже заметили, что материалы курса выкладываются в этом репозитории. Сейчас я расскажу тебе один из способов, как всегда иметь под рукой его свежую версию.
Если какие-то шаги уже выполнены, просто пропусти их.


Чтобы получить себе копию репозитория курса, нужно сделать fork исходного репозитория


Теперь клонируем репозиторий к себе на компьютер, выполнив в консоли команду:


## gist:ba352596ab58ea84b3a8534f5cce043c
# From http://garmoncheg.blogspot.com/2012/06/pretty-git-log.html
git config --global alias.lg "log --color --graph --pretty=format:'%Cred%h%Creset -%C(yellow)%d%Creset %s %Cgreen(%cr) %C(bold blue)<%an>%Creset' --abbrev-commit --"

## interval_intersections.py
import numpy as np
from itertools import chain

intervals_a=[(0, 3), (5, 8), (11, 12), (14, 15)]
intervals_b=[(1, 2), (4, 6), (7, 9), (10, 13), (14, 15)]

def intersect_intervals(intervals_a, intervals_b):
     # Create events like
     # [[<point_a_0>, <open_a>, <miss_b>], [<point_a_1>, <close_a>, <miss_b>], ...]
     # and [[<point_b_0>, <miss_a>, <open_b>], [<point_b_1>, <miss_a>, <close_b>], ...]
	# Using Jupyter with Django
	# Requires django_extensions
	# For all settings see jupyter --help-all
	BASE_DIR = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

	try:
	import jupyterlab
	notebook_default_url = '/lab' # Using JupyterLab
	except ImportError:
	notebook_default_url = '/tree' # Using Jupyter
	# Euclidean distance.
	def euc_dist(pt1,pt2):
	return math.sqrt((pt2[0]-pt1[0])(pt2[0]-pt1[0])+(pt2[1]-pt1[1])(pt2[1]-pt1[1]))

	def _c(ca,i,j,P,Q):
	if ca[i,j] > -1:
	return ca[i,j]
	elif i == 0 and j == 0:
	ca[i,j] = euc_dist(P[0],Q[0])
	elif i > 0 and j == 0:
	# From http://garmoncheg.blogspot.com/2012/06/pretty-git-log.html
	git config --global alias.lg "log --color --graph --pretty=format:'%Cred%h%Creset -%C(yellow)%d%Creset %s %Cgreen(%cr) %C(bold blue)<%an>%Creset' --abbrev-commit --"
	import numpy as np
	from itertools import chain

	intervals_a=[(0, 3), (5, 8), (11, 12), (14, 15)]
	intervals_b=[(1, 2), (4, 6), (7, 9), (10, 13), (14, 15)]

	def intersect_intervals(intervals_a, intervals_b):
	# Create events like
	# [[<point_a_0>, <open_a>, <miss_b>], [<point_a_1>, <close_a>, <miss_b>], ...]
	# and [[<point_b_0>, <miss_a>, <open_b>], [<point_b_1>, <miss_a>, <close_b>], ...]