Deploy the Claude apps gateway on Google Cloud for centralized identity, policy enforcement, cost attribution, and spend limits across your Claude Code deployments.
Data Science
🚀 Introducing the New and Improved Gemini CLI
Blog post highlighting all the cool but powerful new features that came along with the latest release of Gemini CLI.
Steps to connect Kaggle and Vertex AI
Learn how to connect Kaggle with Vertex AI Workbench using Google Cloud Console. The blog post guides you through enabling the Vertex AI API and setting up the environment using a Jupyter Notebook. Follow along to set up your own connection for data science projects.
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.







