Showing 1-15 of 395 results

Lists in Python

January 11, 2021

Usually, while storing the data in a variable we store a single value, for example, x = 5. With the help of Lists in Python, we can store multiple values in a single variable. Lists are a sequence of elements. These elements are also referred …

Loop Control Statements in Python

August 5, 2020

Loops in Python are used to execute a block of code iteratively for a number of times or until the list is exhaustive. But sometimes, in this form of execution, we require some exceptions like skipping an iteration, coming out of the loop when a …

Loops in Python

July 4, 2020

Python statements are executed sequentially in any code, however, sometimes we wish to iterate a particular piece of code repeatedly. To attain this we use, Loops in Python.  The Loops in Python will allow us to execute a group of statements repetitively. Loops are always …

Free 4 week Python workshop on Data Analytics Actuaries by Harsh Jaitak: TAC Initiative

Free 4 week Python workshop on Data Analytics & Actuaries by Harsh Jaitak: TAC Initiative

May 2, 2020

We all know how important have Python has become for Data Analytics and Actuaries, more and more companies are using Python for their Analytical and Actuarial. In this era, learning about applications of Python in actuarial is a must skill. In collaboration with The Actuarial …

Introduction to Python, comments in python, variables in python, string operators in python, keywords in python, operators in python

Introduction to Python

March 8, 2020

Python is an open-source, high-level programming language created by Guido Van Rossum and first released in 1991. Python is rapidly becoming the go-to language due to its ease of writing and code readability.  It is a case sensitive language. The below guide to Python is …

Basic difference and similarity in actuary and data scientist

August 3, 2018

While they both revolve around data, there are certain lines drawn between these two. For instance, actuaries are found primarily in the insurance industry and risk management. On the other hand data scientist can be found in virtually any industry. If we have a comparative lookout of actuarial science and data science, prior is about the study of finance and related fields and activities and latter is about studying different data sets, their relationship and analysis.