SUDIPTA DEB
Enterprise Architect | Salesforce | AI | Google Cloud
Holding 23 Salesforce and 2 Google Cloud certifications, I focus on designing scalable, AI-driven solutions that bridge the gap between complex business needs and technical excellence.
"Technical Potpourri"
Where complex technology is made accessible, practical, and engaging.
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Recent Posts
Salesforce Summer 25 Release – New Admin Features
Salesforce Summer 25 Release – New Admin Features
Call Apex Invocable Method From Salesforce Flow – Part 2
Learn how to call Apex methods from Salesforce Flow in this two-part series! This second blog covers a more complex use case: passing multiple input types to Apex and receiving multiple output types back into your Flow.
Call Apex Invocable Method From Salesforce Flow – Part 1
Learn how to call Apex methods from Salesforce Flow in this two-part series! This first blog covers a simple use case: passing a single input type to Apex and receiving single output type back into your Flow. Perfect for beginners!
How To Use Startup Scripts While Creating Virtual Machines in Google Cloud Platform
In Google Cloud Platform (GCP), a startup script is a script that runs automatically when a virtual machine (VM) instance starts up.
A New Year Promise From “technical potpourri”
Happy New Year, everyone! As the confetti settles and we embark on a fresh new year, I’m thrilled to officially announce the growth of something I’ve been passionately working on: Technical Potpourri, a space dedicated to exploring the fascinating world of technology in all its diverse and exciting forms.
4 Important Probability Distributions – Normal, Binomial, Poisson, Bernoulli
A probability distribution specifies the likelihood of all possible outcomes of a random variable. The distribution may be classified as either continuous or discrete based on the values assumed by a random variable. Various forms of probability distributions exist. In this post, I will examine Normal, Binomial, Poisson and Bernoulli distribution and demonstrate how to utilize Python to plot it.
Calculate Z-Score in Python
A Z-score, or standard score, indicates the distance of a data point from the mean. More formally, it quantifies the number of standard deviations a raw score deviates from the population mean.
Detect Outliers Using Z-Score In Python
In a Normal Distribution, it is estimated that 68% of the data points lie between +/- 1 standard deviation, 95% of the data points lie between +/- 2 standard deviation, 99.7% of the data points lie between +/-3 standard deviation.
Now if the Z-Score of a data point is more than 3, it indicates that the data point is quite different from rest of the data points. Such a data points are called Outliers.
Normal Distribution Using Python and SciPy
Scipy Stats Norm is a component of Scipy Stats utilized for manipulating the normal distribution. The normal distribution is a significant statistical distribution extensively utilized across diverse domains, including finance, physics, and engineering.