The 22 best Python Books of all time for beginner programmers

Have you always wanted to learn computer programming but are afraid it'll be too difficult for you? Or, perhaps, you know other programming languages but are interested in learning the Python language fast? If so, keep reading.... Are you ready to dip your toes into the exciting world of Python coding? This book is for you.

You no longer have to waste your time and money learning Python from lengthy books, expensive online courses, or complicated Python tutorials. What this book offers: Carefully chosen Python examples: Examples are carefully chosen to illustrate all concepts.

In addition, the output for all examples is provided immediately, so you do not have to wait till you have access to your computer to test the examples. Careful selection of topics: Topics are carefully selected to give you a broad exposure to Python, while not overwhelming you with information overload.

These topics include object-oriented programming concepts, error handling techniques, file handling techniques, and more. Learn Python programming language fast: Concepts are presented in a "to-the-point" style to cater to the busy individual.

With this book, you can learn Python in just one day and start coding immediately. What you'll learn: What is Python? What software you need to code and run Python programs? What are variables? What are the common data types in Python? What are lists and tuples? How to format strings How to accept user inputs and display outputs How to define your own functions and modules How to work with external files How to write your own class How to handle errors in Python If you are already convinced, I invite you to listen to this audiobook.

I promise you that the more and more you go into each of the topics presented, the more you will discover all the potential that programming has in a practical way and that you are capable of doing much more than you imagined. Click the "Buy Now" button and download the book now

Do you want to learn the basics of Python and its machine? If yes, then this is the right book for you! Python is among the top programming languages that universities and industries prefer to teach and use, respectively. The charm of Python is hidden in the fact that it has extensive applications in a wide range of fields.

Most people hate Python because of its use in building artificial intelligence models. This fast-paced, thorough introduction to programming with Python will have you writing programs, solving problems, and making things that work in no time.

Python is very easy to read and learn. You can easily read source codes for different programs that are created by other programmers.

But, it needs, like all the other programming languages, dedicated practice. You will have to get to the Python editor and practice all codes.

In this book you'll learn basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic. You'll also learn how to make your programs interactive and test your code safely before adding it to a project.

At the end you'll put your new knowledge into practice. This book covers the following topics: Evolution of Python Introduction to Python Variables and constants in Python How to install Python Designing and using Functions A modular approach to program organization Using methods Reading and writing files in Python And much more If you've been thinking about digging into programming, Python Crash Course will get you writing real programs fast.This book will teach you how to develop basic programming structures, including loops.

Then you will move on to expressions, variables, and operators. You will also explore unique data structures, such as tuples.

You will also learn how to create various python programs using loops and control statements. Why wait any longer? Click the BUY NOW button!

”Tiny Python Projects is a gentle and amusing introduction to Python that will firm up key programming concepts while also making you giggle.”—Amanda Debler, Schaeffler Key Features Learn new programming concepts through 21-bitesize programs Build an insult generator, a Tic-Tac-Toe AI, a talk-like-a-pirate program, and more Discover testing techniques that will make you a better programmer Code-along with free accompanying videos on YouTube Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book The 21 fun-but-powerful activities in Tiny Python Projects teach Python fundamentals through puzzles and games.

You’ll be engaged and entertained with every exercise, as you learn about text manipulation, basic algorithms, and lists and dictionaries, and other foundational programming skills. Gain confidence and experience while you create each satisfying project.

Instead of going quickly through a wide range of concepts, this book concentrates on the most useful skills, like text manipulation, data structures, collections, and program logic with projects that include a password creator, a word rhymer, and a Shakespearean insult generator. Author Ken Youens-Clark also teaches you good programming practice, including writing tests for your code as you go.

What You Will Learn Write command-line Python programs Manipulate Python data structures Use and control randomness Write and run tests for programs and functions Download testing suites for each project This Book Is Written For For readers familiar with the basics of Python programming. About The Author Ken Youens-Clark is a Senior Scientific Programmer at the University of Arizona.

He has an MS in Biosystems Engineering and has been programming for over 20 years. Table of Contents 1 How to write and test a Python program 2 The crow’s nest: Working with strings 3 Going on a picnic: Working with lists 4 Jump the Five: Working with dictionaries 5 Howler: Working with files and STDOUT 6 Words count: Reading files and STDIN, iterating lists, formatting strings 7 Gashlycrumb: Looking items up in a dictionary 8 Apples and Bananas: Find and replace 9 Dial-a-Curse: Generating random insults from lists of words 10 Telephone: Randomly mutating strings 11 Bottles of Beer Song: Writing and testing functions 12 Ransom: Randomly capitalizing text 13 Twelve Days of Christmas: Algorithm design 14 Rhymer: Using regular expressions to create rhyming words 15 The Kentucky Friar: More regular expressions 16 The Scrambler: Randomly reordering the middles of words 17 Mad Libs: Using regular expressions 18 Gematria: Numeric encoding of text using ASCII values 19 Workout of the Day: Parsing CSV files, creating text table output 20 Password strength: Generating a secure and memorable password 21 Tic-Tac-Toe: Exploring state 22 Tic-Tac-Toe redux: An interactive version with type hints

Think like a programmer with this fun beginner’s guide to Python for ages 10 to 14 Kids can learn to code with the power of Python! Python Programming for Beginners is the perfect way to introduce aspiring coders to this simple and powerful coding language. This book teaches kids all about Python and programming fundamentals―and is packed full of fun and creative activities that make learning a blast! In Python Programming for Beginners, kids will start off with the basics, learning all about fundamental coding concepts and how they can put these concepts together in Python to build their own games and programs.

Each chapter focuses on a different coding concept―like variables, data types, and loops―and features three awesome coding activities to try. These activities get more difficult as they go, so young coders can see just how much their skills are growing.

By the end of Python Programming for Beginners, they’ll create their own fully functional sci-fi game and crack the code to a secret message! Python Programming for Beginners features: No coding experience needed! ―Designed just for kids, this Python programming book is filled with step-by-step directions, simple explanations, and detailed code breakdowns. Build a coding toolbox ―Kids will build their programming skills, learn how to troubleshoot bugs with a handy bug-hunting guide, and practice their Python programming knowledge with cool activities.

Why Python programming? ―Python is an awesome starting language for kids! It’s a powerful programming language that can be used for lots of projects but features simple syntax so beginners can focus on learning programming logic. Set kids up for a lifetime of programming success with Python Programming for Beginners.

Learning to program is one of the best investments that you can make for your research and your career. Python for biologists is a complete programming course for beginners that will give you the skills you need to tackle common biological and bioinformatics problems.

Why learn programming? Maybe you see colleagues writing programs to save time and deal with large datasets. Maybe your supervisor has told you that you need to learn programming for your next project.

Maybe you've been looking at job ads and noticed just how many of them are asking for programming skills. Table of contents In chapter one, you'll learn why Python is a good choice for biologists and beginners alike.

You'll also learn how to install Python for your operating system and how to set up your programming environment, complete with links to all the free software you'll need. In chapter two, you'll learn how to manipulate text (including DNA and protein sequences) and how to fix errors in your programs.

Exercises: calculating AT content, splicing introns. In chapter three, you'll learn how to read and write data to and from files.

You'll also learn how to deal with file paths and the FASTA file format.Exercises: splitting genomic DNA, writing a FASTA file. In chapter four, you'll learn how to process many pieces of data in a single program and more advanced tools for sequence manipulation.

Exercises: trimming adapter sequences, concatenating exons. In chapter five, you'll learn how to make Python even more useful by creating your own functions, including the best ways to test those functions in order to speed up development.

Exercises: Analyzing the amino acid composition of protein sequences. In chapter six, you'll learn how to write programs that can make smart decisions about how to handle data and how to make your programs follow complex rules.

Exercises: filtering genes based on multiple criteria. In chapter seven, you'll learn an incredibly powerful tool for working with patterns in text - regular expressions - and how to use it to search in DNA and protein sequences.

Exercises: filtering accession names and calculating restriction fragment sizes. In chapter eight, you'll learn how to store huge amounts of data in a way that can still allows it to be retrived very efficiently.

This allows simplification of much of the code from previous chapters. Exercises: translating DNA sequences to protein.

In chapter nine, you'll learn how to make your Python programs work in harmony with existing tools, and how to polish up your programs so that they're ready for other people to use. Exercises: counting k-mers, binning DNA sequences by length.

About the author Dr. Martin Jones has been teaching biologists to write software for over five years and has taught everyone from postgraduates to PIs

Did you know that according to Harvard Business Review the data scientist is the sexiest job of the 21st century? And for a reason! If “sexy” means having rare qualities that are much in demand, data scientists are already there. They are expensive to hire and, given the very competitive market for their services, difficult to retain.

There simply aren’t a lot of people with their combination of scientific background and computational and analytical skills. Data science is all about transforming data into business value using math and algorithms.

And needless to say, Python is the must-know programming language of the 21st century. If you are interested in coding and data science, then you must know Python to succeed in these industries! Data Science for Beginners is the perfect place to start learning everything you need to succeed.

Contained within these four essential books are the methods, concepts, and important practical examples to help build your foundation for excelling at the discipline that is shaping the modern word. This bundle is perfect for programmers, software engineers, project managers, and those who just want to keep up with technology.

With this audiobook, you will: Learn Python from scratch including the basic operations, how to install it, data structures and functions, and conditional loops Build upon the fundamentals with advanced techniques like object-oriented programming (OOP), inheritance, and polymorphism Discover the importance of data science and how to use it in real-world situations Learn the five steps of data analysis so you can comprehend and analyze data sitting right in front of you Increase your income by learning a new, valuable skill that only a select handful of people take the time to learn Discover how companies can improve their business through practical examples and explanations And much more! This bundle is essential for anyone who wants to study data science and learn how the world is moving to an open-source platform. Whether you are a software engineer or a project manager, jump to the next level by developing a data-driven approach and learning how to define a data-driven vision of your business! Order the bundle and start your new career path today! PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

Learn the fundamentals of clean, effective Python coding and build the practical skills to tackle your own software development or data science projects Key Features Build key Python skills with engaging development tasks and challenging activities Implement useful algorithms and write programs to solve real-world problems Apply Python in realistic data science projects and create simple machine learning models Book Description Have you always wanted to learn Python, but never quite known how to start? More applications than we realize are being developed using Python because it is easy to learn, read, and write. You can now start learning the language quickly and effectively with the help of this interactive tutorial.

The Python Workshop starts by showing you how to correctly apply Python syntax to write simple programs, and how to use appropriate Python structures to store and retrieve data. You'll see how to handle files, deal with errors, and use classes and methods to write concise, reusable, and efficient code.

As you advance, you'll understand how to use the standard library, debug code to troubleshoot problems, and write unit tests to validate application behavior. You'll gain insights into using the pandas and NumPy libraries for analyzing data, and the graphical libraries of Matplotlib and Seaborn to create impactful data visualizations.

By focusing on entry-level data science, you'll build your practical Python skills in a way that mirrors real-world development. Finally, you'll discover the key steps in building and using simple machine learning algorithms.

By the end of this Python book, you'll have the knowledge, skills and confidence to creatively tackle your own ambitious projects with Python. What you will learn Write clean and well-commented code that is easy to maintain Automate essential day-to-day tasks with Python scripts Debug logical errors and handle exceptions in your programs Explore data science fundamentals and create engaging visualizations Get started with predictive machine learning Keep your development process bug-free with automated testing Who this book is for This book is designed for anyone who is new to the Python programming language.

Whether you're an aspiring software engineer or data scientist, or are just curious about learning how to code with Python, this book is for you. No prior programming experience is required

Do you feel that informatics is indispensable in today’s increasingly digital world? Do you want to introduce yourself to the world of programming but don’t know where to get started? If the answer to these questions is yes, then keep listening.… With the tech industry becoming one of the most trending fields in the job market, learning how to program can be one of the most important and meaningful skills. This book is meant to introduce people who have no programming experience to the world of computer science and machine learning.

This book includes: Python Machine Learning: A Beginner’s Guide to Python Programming for Machine Learning and Deep Learning Here’s a sneak peek of what you’ll learn with this book: The fundamentals of Python for machine learning Data analysis in Python Comparing deep learning and machine learning The role of machine learning in the Internet of Things (IoT) Looking to the future with machine learning And much more…. SQL for Beginners: A Step by Step Guide to Learn SQL Programming for Query Performance Tuning on SQL Database Throughout these pages, you will learn: How to build databases and tables with the data you create Proven strategies to define all the SQL data types that fit the data you are working with How to sort through the data efficiently to find what you need The exact steps to clean your data and make it easier to analyze How to modify and delete tables and databases And much more….

Linux for Beginners: An Introduction to the Linux Operating System We will cover the following topics: What makes Linux different? How to install Linux The Linux console Command line interface Network administration And much more…. This book won’t make you an expert programmer, but it will give you an exciting first look at programming and a foundation of basic concepts with which you can start your journey learning computer programming and machine learning

For introductory-level Python programming and/or data-science courses. A groundbreaking, flexible approach to computer science and data science The Deitels’ Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud offers a unique approach to teaching introductory Python programming, appropriate for both computer-science and data-science audiences.

Providing the most current coverage of topics and applications, the book is paired with extensive traditional supplements as well as Jupyter Notebooks supplements. Real-world datasets and artificial-intelligence technologies allow students to work on projects making a difference in business, industry, government and academia.

Hundreds of examples, exercises, projects (EEPs), and implementation case studies give students an engaging, challenging and entertaining introduction to Python programming and hands-on data science. The book's modular architecture enables instructors to conveniently adapt the text to a wide range of computer-science and data-science courses offered to audiences drawn from many majors.

Computer-science instructors can integrate as much or as little data-science and artificial-intelligence topics as they'd like, and data-science instructors can integrate as much or as little Python as they'd like. The book aligns with the latest ACM/IEEE CS-and-related computing curriculum initiatives and with the Data Science Undergraduate Curriculum Proposal sponsored by the National Science Foundation.

★★★ Want to Learn Python in No Time?! Check Out This Python Programming Crash Course for Beginners! ★★★ Would you like to: Learn Python in no time? Automate tasks with Python? Be able to make machines work as efficiently as possible? Monetize your programming ideas? But you: Have no prior knowledge about Python? Think that programming is complicated? If you can answer any question above with "yes," then you are in the right place. With this unique guide in your hands, you will go from beginner to pro in no time! It doesn't matter if you have never coded before; these guides will thoroughly explain to you everything about Python and data science.

All guides are written in a step-by-step and easy to digest manner so you will understand them without any trouble. Most of the other books you can find on the market focus purely on basic theory and simple commands, but not this one.

Here's what this beginner's guide can offer you: A beginner's crash course on how to get everything up and to run. Est tools that are available for programming with Python.

Quick and easy way to learn how to make amazing and useful programs. Unique coding methods to go from beginner to pro in no time.

Practical workbook to put your knowledge to test and bring your ideas to life. Practical programming exercises that will help you apply programming concepts to real-life situations.

Debugging activities that will teach you to notice errors in Python code quickly. Fun projects that will test your knowledge and motivate you to practice even more.

If you want to conquer the Python programming language in no time, all you have to do is take these guides in your hands and follow the step-by-step instructions. So what are you waiting for? Scroll up, click on "Buy Now with 1-Click" , and Get Your Copy Now!

Looking to learn Python? Python has gone to be one of the most popular programming languages in the world, and you will be one of the few people left out if you don’t add this knowledge to your arsenal. If you’re looking to learn Python, now is an excellent time to do so.

But where do you begin? You can start right here, right now, with this book. It makes learning Python simple, fast, and easy, taking away the confusion from learning a new language.  When learning a new language, it's easy to be overwhelmed and not know where to start or what to focus on.

You can spend a long time pursuing tutorials online only to find out you don't really understand any of the concepts they covered. That won't be a problem here! This book follows a step by step guide, walking you through everything you need to know about Python in an easy to follow fashion.

It will teach you all the basics of Python, and even some of the more advanced Python concepts, taking you from beginner to intermediate Python programmer. This book will give you: A solid foundation in Python programming.

Intermediate and advanced topics once you’ve mastered the basics. Simple explanations of code, broken down into easy to follow steps.

Python programming exercises and solutions. Two projects at the end of the book designed to help you bring all the concepts you’ve learned together.

Source code files you can refer to and run on your computer. The exercises in this book are designed to help you practice using the skills you’ve learned in the various sections.

The final two projects will let you practice putting everything you’ve learned together and teaching you how to manipulate text, work with images, and create a simple Graphical User Interface (GUI). This book will help you master the following topics: Working with Python in both the command line and an Integrated Development Environment (IDE) Variables and operators Python data types Python data structures Handling inputs and outputs Getting user inputs Conditional/control flow statements Error handling Functions, parameters, and scope Built-in function Creating modules Object-oriented programming Reading and writing files Recursion Image handling And many more! As you read through the book, you’ll gain information about all these topics, broken down into easy to understand ideas with relevant, illustrative examples.

So, if you’ve been looking to learn Python, you’ve come to the right place. You'll be able to start your Python journey without confusion or worry, with a dependable guide to lead you

Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning.

Key Features Third edition of the bestselling, widely acclaimed Python machine learning book Clear and intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover TensorFlow 2, Generative Adversarial Network models, reinforcement learning, and best practices Book Description Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.

Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, Raschka and Mirjalili teach the principles behind machine learning, allowing you to build models and applications for yourself.

Updated for TensorFlow 2.0, this new third edition introduces readers to its new Keras API features, as well as the latest additions to scikit-learn. It's also expanded to cover cutting-edge reinforcement learning techniques based on deep learning, as well as an introduction to GANs.

Finally, this book also explores a subfield of natural language processing (NLP) called sentiment analysis, helping you learn how to use machine learning algorithms to classify documents. This book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.

What you will learn Master the frameworks, models, and techniques that enable machines to 'learn' from data Use scikit-learn for machine learning and TensorFlow for deep learning Apply machine learning to image classification, sentiment analysis, intelligent web applications, and more Build and train neural networks, GANs, and other models Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who This Book Is For If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential resource.

Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for anyone who wants to teach computers how to learn from data. Table of Contents Giving Computers the Ability to Learn from Data Training Simple ML Algorithms for Classification ML Classifiers Using scikit-learn Building Good Training Datasets - Data Preprocessing Compressing Data via Dimensionality Reduction Best Practices for Model Evaluation and Hyperparameter Tuning Combining Different Models for Ensemble Learning Applying ML to Sentiment Analysis Embedding a ML Model into a Web Application Predicting Continuous Target Variables with Regression Analysis Working with Unlabeled Data - Clustering Analysis Implementing Multilayer Artificial Neural Networks Parallelizing Neural Network Training with TensorFlow TensorFlow Mechanics Classifying Images with Deep Convolutional Neural Networks Modeling Sequential Data Using Recurrent Neural Networks GANs for Synthesizing New Data RL for Decision Making in Complex Environments

Completely updated for Django 3.1. Django for Beginners is a project-based introduction to Django, the popular Python-based web framework.

Suitable for total beginners who have never built a website before as well as professional programmers looking for a fast-paced guide to modern web development and Django fundamentals. In the book you’ll learn how to: Build 5 websites from scratch, including a Blog and Newspaper website Deploy online using security best practices Customize the look and feel of your sites Write tests and run them for all your code Integrate user authentication, email, and custom user models Add permissions and authorizations to make your app more secure Identify common mistakes and errors so you can build your own websites If you’re curious about Python-based web development, Django for Beginners is a best-practices guide to writing and deploying your own websites quickly.

Reviews "When readers interested in web development ask me what to read next after Python Crash Course, I refer them to Will's books: Django for Beginners, Django for APIs, and Django for Professionals. I highly recommend you check out his work." —ERIC MATTHES, author of Python Crash Course "If you’re looking for a guide into the world of Django, then the three-step of Django for Beginners, Django for APIs, and Django for Professionals is ideal: get up and running, get into APIs, which are a cornerstone of modern app development, and then add the bits you need to your fledging app into production, from databases and static files, to user accounts and security.

It’s a long road. Will’s books are an awesome companion." —CARLTON GIBSON, Django Fellow and Django REST Framework core contributor "Will's books are a fantastic resource for web development with Django and Python

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions.

With all the data available today, machine learning applications are limited only by your imagination. You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library.

Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book

Your one-stop resource on all things Python 3 Thanks to its flexibility, Python has grown to become one of the most popular programming languages in the world. Developers use Python 3 in app development, web development, data science, machine learning, and even in coding education classes.

There's almost no type of project that Python can't make better. From creating apps to building complex websites to sorting big data, Python provides a way to get the work done.

Python All-in-One For Dummies offers a starting point for those new to coding by explaining the basics of Python and demonstrating how it's used in a variety of applications. Covers the basics of the language Explains its syntax through application in high-profile industries Shows how Python can be applied to projects in enterprise Delves into major undertakings including artificial intelligence, physical computing, machine learning, robotics and data analysis This book is perfect for anyone new to coding as well as experienced coders interested in adding Python to their toolbox.

If you are new to programming with Python and are looking for a solid introduction, this is the book for you. Developed by computer science instructors, books in the "for the absolute beginner" series teach the principles of programming through simple game creation.

You will acquire the skills that you need for practical Python programming applications and will learn how these skills can be put to use in real-world scenarios. Throughout the chapters, you will find code samples that illustrate concepts presented.

At the end of each chapter, you will find a complete game that demonstrates the key ideas in the chapter, a summary of the chapter, and a set of challenges that tests your newfound knowledge. By the time you finish this book, you�ll be well versed in Python and be able to apply the basic programming principles you�ve learned to the next programming language you tackle.

You Will Learn Python 3! Zed Shaw has perfected the world’s best system for learning Python 3. Follow it and you will succeed—just like the millions of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else.

In Learn Python 3 the Hard Way, you’ll learn Python by working through 52 brilliantly crafted exercises. Read them.

Type their code precisely. (No copying and pasting!) Fix your mistakes.

Watch the programs run. As you do, you’ll learn how a computer works; what good programs look like; and how to read, write, and think about code.

Zed then teaches you even more in 5+ hours of video where he shows you how to break, fix, and debug your code—live, as he’s doing the exercises. Install a complete Python environment Organize and write code Fix and break code Basic mathematics Variables Strings and text Interact with users Work with files Looping and logic Data structures using lists and dictionaries Program design Object-oriented programming Inheritance and composition Modules, classes, and objects Python packaging Automated testing Basic game development Basic web development It’ll be hard at first.

But soon, you’ll just get it—and that will feel great! This course will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful, popular programming languages.

You’ll be a Python programmer. This Book Is Perfect For Total beginners with zero programming experience Junior developers who know one or two languages Returning professionals who haven’t written code in years Seasoned professionals looking for a fast, simple, crash course in Python 3

Featured by Tableau as the first of "7 Books About Machine Learning for Beginners." Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile? Well, hold on there... Before you embark on your epic journey, there are some high-level theory and statistical principles to weave through first.

But rather than spend $30-$50 USD on a dense long textbook, you may want to read this book first. As a clear and concise alternative to a textbook, this book provides a practical and high-level introduction to machine learning.

Machine Learning for Absolute Beginners Second Edition has been written and designed for absolute beginners . This means plain-English explanations and no coding experience required.

Where core algorithms are introduced, clear explanations and visual examples are added to make it easy and engaging to follow along at home. New Updated Edition This major new edition features many topics not covered in the First Edition, including Cross Validation, Ensemble Modeling, Grid Search, Feature Engineering, and One-hot Encoding.

Please note that this book is not a sequel to the First Edition but rather a restructured and revamped version of the First Edition. Readers of the First Edition should not feel compelled to purchase this Second Edition.

Disclaimer: If you have passed the 'beginner' stage in your study of machine learning and are ready to tackle coding and deep learning, you would be well served with a long-format textbook. If, however, you are yet to reach that Lion King moment - as a fully grown Simba looking over the Pride Lands of Africa - then this is the book to gently hoist you up and offer you a clear lay of the land.

In This Step-By-Step Guide You Will Learn: • How to download free datasets • What tools and machine learning libraries you need • Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data • Preparing data for analysis, including k -fold Validation • Regression analysis to create trend lines • Clustering, including k -means clustering, to find new relationships • The basics of Neural Networks • Bias/Variance to improve your machine learning model • Decision Trees to decode classification • How to build your first Machine Learning Model to predict house values using Python Frequently Asked Questions Q: Do I need programming experience to complete this e-book? A: This e-book is designed for absolute beginners, so no programming experience is required. However, two of the later chapters introduce Python to demonstrate an actual machine learning model, so you will see programming language used in this book.

Q: I have already purchased the First Edition of Machine Learning for Absolute Beginners, should I purchase this Second Edition? A: As many of the topics from the First Edition are covered in the Second Edition, you may be better served reading a more advanced title on machine learning. Q: Does this book include everything I need to become a machine learning expert? A: Unfortunately, no.

This book is designed for readers taking their first steps in machine learning and further learning will be required beyond this book to master machine learning. Please feel welcome to join this introductory course by buying a copy, or sending a free sample to your chosen device.

Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python.

It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today.

You’ll also learn some advanced language features that recently have become more common in Python code. Explore Python’s major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Python’s general syntax model Use functions to avoid code redundancy and package code for reuse Organize statements, functions, and other tools into larger components with modules Dive into classes: Python’s object-oriented programming tool for structuring code Write large programs with Python’s exception-handling model and development tools Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing

The second edition of this best-selling Python book (100,000+ copies sold in print alone) uses Python 3 to teach even the technically uninclined how to write programs that do in minutes what would take hours to do by hand. There is no prior programming experience required and the book is loved by liberal arts majors and geeks alike.

If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In this fully revised second edition of the best-selling classic Automate the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand--no prior programming experience required.

You'll learn the basics of Python and explore Python's rich library of modules for performing specific tasks, like scraping data off websites, reading PDF and Word documents, and automating clicking and typing tasks. The second edition of this international fan favorite includes a brand-new chapter on input validation, as well as tutorials on automating Gmail and Google Sheets, plus tips on automatically updating CSV files.

You'll learn how to create programs that effortlessly perform useful feats of automation to: • Search for text in a file or across multiple files • Create, update, move, and rename files and folders • Search the Web and download online content • Update and format data in Excel spreadsheets of any size • Split, merge, watermark, and encrypt PDFs • Send email responses and text notifications • Fill out online forms Step-by-step instructions walk you through each program, and updated practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks. Don't spend your time doing work a well-trained monkey could do.

Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in Automate the Boring Stuff with Python, 2nd Edition.

Second edition of the best-selling Python book in the world. A fast-paced, no-nonsense guide to programming in Python.

Updated and thoroughly revised to reflect the latest in Python code and practices. Python Crash Course is the world's best-selling guide to the Python programming language.

This fast-paced, thorough introduction to programming with Python will have you writing programs, solving problems, and making things that work in no time. In the first half of the book, you'll learn basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic.

You'll also learn how to make your programs interactive and test your code safely before adding it to a project. In the second half, you'll put your new knowledge into practice with three substantial projects: a Space Invaders-inspired arcade game, a set of data visualizations with Python's handy libraries, and a simple web app you can deploy online.

As you work through the book, you'll learn how to: • Use powerful Python libraries and tools, including Pygame, Matplotlib, Plotly, and Django • Make 2D games that respond to keypresses and mouse clicks, and that increase in difficulty • Use data to generate interactive visualizations • Create and customize web apps and deploy them safely online • Deal with mistakes and errors so you can solve your own programming problems If you've been thinking about digging into programming, Python Crash Course will get you writing real programs fast. Why wait any longer? Start your engines and code!