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NGINX MasterClass: NGINX Server & Custom Load Balancer

  Introduction When it comes to modern web servers and application delivery, NGINX is king . Powering over 30% of all websites worldwide, it’s not just a web server — it’s a reverse proxy, load balancer, and security gateway rolled into one. In this MasterClass, we’ll cover everything you need to know about NGINX : from installation and configuration to setting up custom load balancing solutions. What is NGINX? NGINX (pronounced “Engine-X”) is an open-source web server created by Igor Sysoev in 2004. It was designed to solve the C10k problem — handling 10,000+ concurrent connections efficiently. NGINX vs Apache: Apache: process/thread-based, flexible modules NGINX: event-driven, lightweight, faster under high load Why Choose NGINX? 🚀 High Performance – Handles thousands of concurrent requests 🔄 Reverse Proxy – Directs traffic smartly 🔒 Security – Built-in features to mitigate attacks ⚡ Scalability – Powers giants like Netflix, Dropbox, and WordP...
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Ultimate YAML Course : YAML JSON JSONPath Zero - Master

  Introduction If you’ve ever worked with cloud computing, DevOps, or modern application development, chances are you’ve already come across YAML . From Kubernetes to Docker Compose, YAML has quietly become the backbone of configuration files. But understanding YAML is just the beginning — mastering JSON and JSONPath will take your skills to the next level. This article is your complete roadmap to becoming a YAML, JSON, and JSONPath master from zero to pro . Understanding the Basics of YAML YAML stands for “ YAML Ain’t Markup Language. ” It’s a human-friendly data serialization format designed for configuration and data exchange. Unlike XML or JSON, YAML focuses on simplicity and readability. Think of YAML as the “plain English” of data formats — clean, structured, and easy to scan. Why Learn YAML? YAML is everywhere in modern tech. Here’s where you’ll encounter it: DevOps : Kubernetes manifests, Docker Compose files Automation : Ansible playbooks, CI/CD pipelines ...

Indian Stock Market Trading | Investing: Technical Analysis

  Introduction The Indian stock market is one of the fastest-growing financial markets in the world, with millions of new investors joining every year. But how do traders and investors decide when to buy or sell a stock ? This is where technical analysis comes into play. Unlike fundamental analysis, which studies company financials, technical analysis focuses on price charts, trends, and market psychology to predict future movements. Understanding Technical Analysis Definition: Technical analysis is the study of historical price and volume data to forecast future price movements. Key Assumptions: The market discounts everything. Prices move in trends. History tends to repeat itself. Indian Stock Market Overview 2025 NSE (National Stock Exchange) and BSE (Bombay Stock Exchange) are the two main exchanges. Popular indices: Nifty 50 , Sensex , and Bank Nifty dominate trading activity. With digital platforms like Zerodha and Groww, retail participation h...

The Complete Terraform with Ansible Bootcamp 2025

  Introduction Infrastructure in the cloud world is no longer about racking servers or manually setting up environments. In 2025, everything revolves around Infrastructure as Code (IaC) . Among the most powerful tools in this space are Terraform and Ansible . When combined, they give engineers, developers, and DevOps professionals a complete toolkit for provisioning and managing infrastructure seamlessly. So, why is this combination so important today? Let’s dive in. Understanding the Basics What is Terraform? Terraform is an open-source tool created by HashiCorp. It allows you to define and provision infrastructure using a declarative configuration language called HCL (HashiCorp Configuration Language) . Simply put, you write code to tell Terraform what you want, and Terraform figures out how to make it happen. What is Ansible? Ansible, developed by Red Hat, is an automation and configuration management tool . It uses YAML-based playbooks to automate tasks like installi...

Python for Absolute Beginners – Python Bootcamp 2025

  Are you ready to start your coding journey from scratch? 🚀 Whether you’re a student, a professional looking for a career change, or just curious about technology, Python is the perfect first programming language to learn. In this guide, we’ll explore everything you need to know about learning Python in 2025 through bootcamps, deep dives, and hands-on projects . From Python for absolute beginners to a 100 Days of Python challenge and even a Python 3 Deep Dive , we’ll cover the best ways to master coding step by step. Why Python? Beginner-Friendly: Clean and readable syntax, ideal for newcomers. In-Demand: Python powers AI, machine learning, data science, automation, and web development. Future-Proof: Constantly updated (Python 3.12 & beyond) with strong community support. Learning Paths for Beginners in 2025 🔹 1. Python Bootcamp for Beginners A complete hands-on course covering basics: variables, loops, functions, and projects like a calculator or to-...

Python Programming Complete Beginners Course Bootcamp 2025

 In today’s digital-first world, Python has become the backbone of modern technology. From powering web applications and automating tasks to driving Artificial Intelligence (AI), Data Science, and Machine Learning projects, Python is everywhere. If you’re a complete beginner and eager to step into the tech world, the Python Programming Complete Beginners Course Bootcamp 2025 is your perfect launchpad. Whether you want to build a career in software development, become a data analyst, explore artificial intelligence, or simply improve your problem-solving skills, this bootcamp will equip you with everything you need—step by step. Why Learn Python in 2025? Python isn’t just another programming language—it’s the most beginner-friendly language in today’s tech ecosystem. Here’s why Python is the perfect choice for new learners: Easy to Learn & Read – Its syntax is close to natural English. Versatile – Supports web development, AI, data science, game development, autom...

Python NumPy, Pandas, Matplotlib, and Seaborn for Data Analysis, Data Science, and ML (Pre-Machine Learning Analysis)

  Introduction Before diving into machine learning (ML), every data scientist must master data analysis and visualization . Think of it as preparing the soil before planting seeds—without clean, structured, and understood data, even the most powerful ML models will fail. In this guide, we’ll explore how NumPy, Pandas, Matplotlib, and Seaborn work together to make pre-machine learning analysis smooth, effective, and insightful. Why Pre-Machine Learning Analysis is Important Machine learning isn’t just about algorithms. Models only perform well if the data is accurate, structured, and meaningful . Pre-ML analysis helps to: Clean messy datasets Identify missing values Detect outliers Visualize patterns and relationships Transform raw data into model-ready formats The Python Data Analysis Ecosystem 1. NumPy: The Foundation of Numerical Computing NumPy is like the backbone of data science. It provides: ndarray (N-dimensional arrays) : Faster than Python lis...