Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course.

Introduction -- Programming with numbers and strings -- Decsions -- Loops -- Functions -- Lists -- Files and exceptions -- Sets and dictionaries -- Objects and classes -- Inheritance -- Recursion -- Sorting and searching.

A hands-on guide that will help you to write clean and efficient code in Python KEY FEATURES ● Get familiar with the core and advanced Python concepts. ● Work with the most used Data Science libraries in Python. ● Take the first step towards your coding goals with “Python for Everyone“. DESCRIPTION Python is one of the most popular programming languages in the world, with a vast community of developers and users. In order to start using Python effectively, it is important to have a strong understanding of its core concepts. This comprehensive guide provides you with a solid foundation in the fundamental concepts of Python programming. It covers a range of important topics, including working with strings, flow control statements, exception handling, and regular expressions. You will also learn about the essential functions and data structures, and explore the use of pre-built packages to extend Python's capabilities. Numpy and data visualization with packages like Matplotlib are also discussed in depth, along with the popular data analysis and manipulation package, Pandas. This book is an essential resource for anyone looking to master Python and use its power to tackle real-world projects. With a strong grasp of these core concepts, you will be well-equipped to write efficient and effective Python code. WHAT YOU WILL LEARN ● Learn how to write Python code in different IDEs like VSCode and Jupyter Notebook. ● Learn how to work with packages and modules in python. ● Get familiar with Python data science libraries. ● Understand how to use Regular expressions in Python. ● Learn how to write Python comments that are clean, concise, and useful. WHO THIS BOOK IS FOR This book is designed to cater to a diverse audience, including students pursuing diplomas, undergraduate, and postgraduate degrees in any branch of Engineering and Science. It is also suitable for programming and software professionals looking to enhance their skills in Python. TABLE OF CONTENTS 1. Basic Python Introduction 2. Concept of Strings in Python 3. Concept of Flow Control Statements in Python 4. Concept of Exception Handling in Python 5. Concept of Regular Expressions in Python 6. Concept of Functions in Python 7. Concept of Data Structures in Python 8. Concept of Packages in Python 9. Numpy Introduction 10. Data Visualization Introduction 11. Pandas Introduction

The Complete Beginner’s Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you’re an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning. Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you’ll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field’s most sophisticated and exciting techniques. Whether you’re a student, analyst, scientist, or hobbyist, this guide’s insights will be applicable to every learning system you ever build or use. Understand machine learning algorithms, models, and core machine learning concepts Classify examples with classifiers, and quantify examples with regressors Realistically assess performance of machine learning systems Use feature engineering to smooth rough data into useful forms Chain multiple components into one system and tune its performance Apply machine learning techniques to images and text Connect the core concepts to neural networks and graphical models Leverage the Python scikit-learn library and other powerful tools Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

As you know, there are so many Python language books in the market. Then, you may think why do I need this book? You will definitely experience that itﾒs NOT just another Python book. The objective of this book is to spread quality knowledge of Python in a simple and easily understandable language with practical examples. It can be used by a wide range of readers, right from budding programmers to practicing professionals. More specifically, students/teachers of diploma/degree engineering, BCS, BCA, BSC, MSC, MCS, MCA etc will be benefited. Prior programming experience is not required to read this book. It can be used as textbook as well as reference book. This book explains fundamental concepts of Python programming in a systematic and lucid manner. Program related questions & general questions given as FAQﾒs will make reader easy to grasp the concepts. Beginner who will start journey of learning Python via this book will definitely acquire sound knowledge of Python. Happy Python programming Journey!

Yes, Python developers are in high demand. Python software engineers are also among the highest-paid software developers today, earning an average income of $150,000 a year. The Python language is easy to learn, yet POWERFUL. YouTube, Dropbox, Google, Instagram, Spotify, Reddit, Netflix, Pinterest - they are all developed using Python. And most recently, ChatGPT is also written in Python. Learning Python opens up the possibilities of a whole new career in Machine Learning and Data Science. IMPORTANT NOTE: This free book contains ONLY the first 8 chapters (Chapters 1 to 8) of my video-based online Python course at Udemy. It contains the actual transcripts (written version of the audio) of these 8 chapters of the online course. The remaining chapters are available at: https://www.udemy.com/course/python-programming-tutorial-a-z/?referralCode=923195F66CF0BA283A50 Free previews of some of the videos are available at the above udemy course link. The video-based online Python course at Udemy is consistently highly rated at 4.8 / 5 stars with an enrollment of 30,897 students and has 7,749 reviews as of 25th April 2024. This course is curated by Udemy into the Udemy For Business platform where the top Udemy courses are specially selected for listing. My website is at: https://tutorialpython.net There are no prerequisites for this course. This is a foundation course in Python that does not assume any knowledge of programming. This course does not claim to teach everything, just as no other courses can ever teach you everything you need to know about Python. The main purpose of this course is to ensure students master the essential concepts of the Python language so that they will begin to LOVE the language. This course wants you to be inspired to learn Python. Come on and join me in my Python For Everybody lessons ... Cheers everyone!

Perfect for a beginning programming course, Python for Everyone, High School Edition is a comprehensive introduction to Python and computer programming, which focuses on the principles of programming, software engineering, and effective learning. It is designed for first course in programming. Nobody supports your desire to teach students good programming skills like Cay Horstmann and Rance Necaise. Active in both the classroom and the software industry, Horstmann and Necaise know that meticulous coding'not shortcuts'is the base upon which great programmers are made. Using an innovative visual design that leads students step-by-step through intricacies of Python programming, Python For Everyone, High School Edition instills confidence in beginning programmers and confidence leads to success.