My Journey with React – I

Hi Everyone,

Long time eh ?

I am planning to learn REACT and this is my first day. I am excited ! I need to learn the Front End side of things now, and what is a better framework than REACT ! Facebook and Instagram are good enough motivators for me and I will do my best to nail it.

I will keep updating my blogs with some cool stuff that I will be doing in the following days. Stay hooked.

  • SB

Install Wagtail – Linux Dependencies

I was trying to install wagtail which gets annoying if you are using something ike a Vagrant Box or Linux machine. Follow the following steps :

  1. Install pip
  2. Install  libjpeg-dev
  3. Install  zlib1g-dev
  4. Install  python-dev (if not 2 and 3  and 2 and 3 are in 4, still try just 2 and 3)
  5. Install pillow
  6. 6. Install wagtail

If you do not want to follow all the steps every time you set up an environment, make a vagrant box with these preinstalled and share it.

Matching DateTime objects in test cases with Django Rest Framework

If your model has a date_created or modified etc. kind of object(s) probably you will face a datetime object mismatch issue while asserting equality of your dictionary object with the rendered response dictionary. So, I have created a small function which will help you resolve it.


DATETIMEHELPER = lambda x : str(x.isoformat().split('.')[0])+'Z'


Now, you can call your data object as :

data = {...,"date_created":DATETIMEHELPER(self.model_name.date_created),...}
self.AssertEqual(json.dumps(response.content), data)

Implementation of Graph DS using Python and BFS,DFS covered with iteration

This post will be mostly code. Please use proper indenting cuz Python otherwise will make your life hell. If you’re using Sublime go to, set Convert Indentation to tabs.

Gist : I have used the collections.defaultdict dict DT for implementing a dict of sets.
Vertices have been stored as adjacency list kind of elements as a dictionary. The code is raw and may have errors ( though no compilation error as of the post’s writing). Please comment for additional details. This is purely for testing purposes.


graph            A Graph.


from collections import defaultdict

#The Graph will be a dictionary of sets
class Graph():

def __init__(self, connections, directed = False):
self.graph = defaultdict(set)
self.directed = directed
self.add_connections (connections)

def add_connections(self, connections):
for node1,node2 in connections:

def add_connection(self, node1, node2):
if not self.directed:

def remove(self, node):
#removes all references to the node
#Use iteritems for dict items like k,v in dictname.iteritems():
for n,cons in self.graph.iteritems():
#Removing from a set involves setname.remove(element)
except KeyError:
#Removing from a dictionary involves rem dict_element_name
del self.graph[node]
except KeyError:

def isconnected(self, node1, node2):
if node1 in self.graph[node2] or node2 in self.graph[node1]:
return True
return False

def dfs(self,start):
#If start node does not exist, return None (search is futile)
if start not in self.graph:
return None
#Start with an empty set
visited = set()

#To return unse ( which is not a set
unset = []
#Initially fill stack with start vertex
stack = [start]

#While stack is not empty keep repeating this algorithms
while stack:
#Take the first element of stack (pop means last inserted , aggressive)
vertex = stack.pop()
#If vertex has not been visited yet, add it to visited and look for all the element in graph[vertex]
if vertex not in visited:
stack.extend(self.graph[vertex] - visited)
return unset

def bfs(self, start):
if start not in self.graph:
return None
visited = set()
queue = [start]
unset = []
while queue:
vertex = queue.pop(0)
if vertex not in visited:
queue.extend(self.graph[vertex] - visited)
return unset

#Should work but not tested
def findpath(self,v1, v2):
m = bfs(v1)
if v2 in m:
return m[:m.index(v2)+1]
return None