In this chapter, you’ll learn how to set up PySpark on your local machine, configure it for modern tools like Jupyter and VS Code, and optionally connect it to Hadoop. By the end of this tutorial, you’ll be ready to…
What is PySpark? PySpark is the Python API for Apache Spark, a powerful open-source distributed computing engine designed for large-scale data processing and analytics. It allows Python developers to interact with Spark’s core functionality—working with distributed datasets, running transformations, and…
Introduction Machine learning systems can be broadly categorized into three main types based on how they learn from data: Supervised Learning, Unsupervised Learning, and Reinforcement Learning. Each of these categories has distinct principles, use cases, methodologies, and algorithms. Understanding these…
Overview Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that empowers computers to learn from data and make decisions or predictions without being explicitly programmed. This foundational chapter aims to build a deep and structured understanding of ML,…
Machine Learning (ML) is a subfield of artificial intelligence that enables computers to learn from data and make predictions or decisions without being explicitly programmed. It is at the heart of many modern technologies such as recommendation systems, autonomous vehicles,…
Data Science is the art and science of extracting insights from data. It blends techniques from statistics, mathematics, computer science, and domain knowledge to understand and interpret complex data. Python has emerged as the most popular programming language for data…
Web development is one of the most popular and dynamic fields in software engineering, and Python has cemented its place as a top choice for building scalable, maintainable, and powerful web applications. From creating basic websites to full-fledged RESTful APIs…
Working with dates and time is a common task in most applications — whether it’s logging events, scheduling tasks, analyzing historical data, or interacting with user input. Python offers a powerful suite of modules and classes that make handling time…
In the modern programming world, APIs (Application Programming Interfaces) play a central role in enabling communication between applications and services. Python, with its clean syntax and powerful libraries, offers robust tools for both consuming external APIs and creating your own.…
Databases are essential for storing, retrieving, and managing structured data in nearly every software application. Python, with its simplicity and flexibility, offers a wide range of libraries and tools for interacting with various types of databases, from lightweight options like…