Python For Absolute Beginners

Python for Absolute Beginners

Python

Python Made Easy - a Step-by-Step Guide for Beginners Get the Kindle version FREE when purchasing the Paperback! Learning a programming language can seem like a daunting task. You may have looked at coding in the past, and felt it was too complicated and confusing. This comprehensive beginner's guide will take you step by step through learning one of the best programming languages out there. In a matter of no time, you will be writing code like a professional. Python is a powerful high-level programming language that is popular across the world. It is used extensively by large corporations and individual developers alike. One of the biggest selling points of Python is the simplicity of its programs compared to other languages. It is remarkably easy, for even complete beginners, to create fully functional programs in minutes. What This Book Offers Made for Beginners This guide is written specifically for beginners. We take you step-by-step through writing your very first program, explaining each portion of code as we go along. We guide you through setting up Python, choosing an IDE, as well as the various elements of coding in Python. 78 Practical Examples With each concept, we provide one or more example to illustrate the topic in a way that makes it easy to understand. We break examples down into their basic workings, and provide the output for you to compare to your own results. Introduction to Python For newcomers to Python we look at what the language has to offer, its origin and design goals, features and capabilities, as well as specific releases, before stepping into more in-depth topics. Key Topics What is Python? History of Python Features of Python Building Your Environment Your First Python Program Data Types Variables Operators Decision Making in Python Loops Working with Numbers Working with Strings Type Conversion Get Your Copy Today!

Machine Learning & Python for Absolute Beginners

A clear and beginner-focused guide to Python and ML fundamentals. Covers coding basics, OOP, and core machine learning methods in a friendly, structured format. Key Features A two-part structure combining Python basics and machine learning for seamless skill-building Logical progression designed to reduce learning friction and build strong conceptual clarity Hands-on practice with Jupyter notebooks and real datasets to reinforce every key concept taught Book DescriptionStarting with Python syntax and data types, this guide builds toward implementing key machine learning models. Learn about loops, functions, OOP, and data cleaning, then transition into algorithms like regression, KNN, and neural networks. A final section walks you through model optimization and building projects in Python. The book is split into two major sections—foundational Python programming and introductory machine learning. Readers are guided through essential concepts such as data types, variables, control flow, object-oriented programming, and using libraries like pandas for data manipulation. In the machine learning section, topics like model selection, supervised vs unsupervised learning, bias-variance, and common algorithms are demystified with practical coding examples. It’s a structured, clear roadmap to mastering both programming and applied ML from zero knowledge.What you will learn Master Python syntax, variables, and basic data structures Build control flows using conditionals, loops, and functions Implement object-oriented concepts like classes and objects Analyze and clean datasets using pandas and Python tools Train supervised and unsupervised machine learning models Evaluate and optimize models for better prediction accuracy Who this book is for This book is perfect for beginners with little to no coding or data science background. It assumes no prior experience with Python or machine learning. Ideal for aspiring data analysts, tech learners, and students transitioning into AI and programming roles.