Introduction The realm of Data Science continues to expand with the advent of cutting-edge technologies and methodologies. The year 2023 has seen remarkable growth and evolution in data-driven practices, paving...
Introduction Artificial Intelligence (AI) continues to evolve, opening new realms of possibilities across various sectors. 2023 has witnessed some groundbreaking advancements in AI, shaping a future where machines not only...
Introduction Networking in Google Cloud Platform (GCP) is designed to be robust and scalable to cater to the diverse needs of modern applications. This article delves into various GCP networking components and services that are crucial for securely managing and...
Introduction Terraform, an open-source Infrastructure as Code (IaC) software by HashiCorp, empowers developers to manage and provision their infrastructure efficiently using a high-level configuration language known as HashiCorp Configuration Language (HCL). When paired with Google Cloud Platform (GCP), Terraform becomes...
Introduction Google Cloud’s BigQuery is a fully-managed, serverless data warehouse that enables super-fast SQL queries across large datasets. With its ability to execute SQL queries over vast amounts of data in seconds, BigQuery stands out as a potent tool for...
This little tutorial shows how to use MongoDB with python. from pymongo import MongoClient import pprint import pandas as pd #Connect to mongodb client = MongoClient('mongodb://localhost:27017/', readPreference='primaryPreferred') #Connect to spark db db = client['Connect_to_Spark_db'] mentions_events = db['mentions_events'] pprint.pprint(mentions_events.find_one()) Test request...