Blog

July 10, 2019 2 min read

Full Outer Join in DAX in PowerBI

Full Outer Join According to Wikipedia{:target="_blank"} - “Conceptually, a full outer join combines the effect of applying both left and right outer joins. Where rows in the FULL OUTER JOINed tables do not match, the result set will …
July 8, 2019 4 min read

Exception handling in Python

Try and Except Handle Exceptions Exceptions Attributes Handling Multiple Exceptions Else Finally Try and Except Handle Exceptions The following statement will throw an error as string can’t be parsed into integers. hello = "hello …
June 29, 2019 3 min read

Functions in Python - return, scope, args and kwargs

Return in Function Scoping in Function Access global variable in function context Declare a local variable within in a function Declare local variable with same name as in global Using Global Keyword *args and **kwargs in function Return in Function …
June 28, 2019 2 min read

Break, Continue and Pass in Python

Continue vs Break Continue print("The loop will skip the value when value of i is 2 and restart from next value of i - ") for i in range(0,4): if i == 2: continue else: print(i+100) Output: The loop will skip the value when value of i is 2 …
June 10, 2019 1 min read

Connect to azure datalake store using R

The following code snippets are on creating a connection to Azure Data Lake Storage Gen1 using R with Service-to-Service authentication with client secret and client id using REST API. Follow the link, for more details on different ways to connect …
May 30, 2019 4 min read

Months between two dates

Importing Packages and Datasets import pandas as pd import numpy as np start_date = ['2019-06-03', '2019-06-13', '2018-11-05', '2019-05-31', '2019-06-01', '2019-09-01'] end_date = …
May 30, 2019 1 min read

Business Days with Custom Holidays

Importing Packages and Datasets import pandas as pd start_date = ['2019-06-03', '2019-06-13', '2019-10-01', '2019-09-01'] end_date = ['2019-08-31', '2019-06-21', '2019-10-25', …
April 23, 2019 1 min read

Applying functions over pandas dataframe using apply, applymap and map

Importing Packages and Datasets import pandas as pd import numpy as np data = pd.DataFrame(np.random.rand(4, 3)*100, columns=['Physics','Çhemistry','Maths'], index = ['Student 1', 'Student 2','Student …
April 3, 2019 2 min read

Filtering using mask and where in pandas

Filtering a dataframe can be achieved in multiple ways using pandas. There are times when you simply need to update a column based on a condition which is true or vice-versa. In pandas dataframe there are some inbuilt methods to achieve the same …
March 28, 2019 2 min read

String Interpolation in Python

String operations in python, sometimes can be a bit tedious, specially when we need to pass variables within Strings. Although there are multiple ways to achieve the same, but some of the them are String interpolation str.format() Declaring some …