Download or read book Programmer Notebook written by Coding Programming Notebooks and published by . This book was released on 2019-12-30 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: " This is a great personalized unique Notebook for Coders & Programmers & Web Developers that can be used for writing poetry, jotting down your brilliant ideas, positive thoughts, recording your accomplishments, and more. Use it as a diary or gratitude journal, a travel journal or as A college Notebook. The simple lined pages allow you to use it however you wish. Notebook journals also is a perfect gift any time of year including birthday, Christmas, friendship gifts, a journal for mothers, a journal for a Coder to inspire someone you love today! Paper journals never need to be charged and no batteries are required! You only need your thoughts and dreams and something to write with. Perfect journal notebook sized at 6x9 High-quality paper is perfect for ink, gel pens, pencils or colored pencils 110 pages - one full year Mate cover for silky finish what will feel amazing in your hands! Perfect for gift giving! "

Download or read book Everything You Need to Ace Computer Science and Coding in One Big Fat Notebook written by Workman Publishing and published by Workman Publishing Company. This book was released on 2020-04-28 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the editors of Brain Quest, America’s #1 educational bestseller! This Big Fat Notebook makes it all “sink in” with key concepts, mnemonic devices, definitions, diagrams, and doodles to help you understand computer science. Including: Computing systems Binary code Algorithms Computational thinking Loops, events, and procedures Programming in Scratch and Python Boolean Expressions Web development Cybersecurity HTML CSS …and more! The Big Fat Notebook series is built on a simple and irresistible conceit—borrowing the notes from the smartest kid in class. Each book in the series meets Common Core State Standards, Next Generation Science Standards, and state history standards, and are vetted by National and State Teacher of the Year Award–winning teachers. They make learning fun and are the perfect next step for every kid who grew up on Brain Quest.

Download or read book Windows Programming Programmer s Notebook written by Mario Giannini and published by Prentice Hall. This book was released on 2001 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covers basic and advanced controls, Internet and database development Features reusable custom C++ classes to handle real-world tasks Up-to-date coverage of Windows 2000 and Windows CE capabilities Show-and-tell presentation for quick learning See the code and put it to work--fast, easy, and hands on. This quick, visual tutorial uses annotated "snapshots" of real code on every other page to teach you programming theory while providing specific solutions you can use in your own projects. Development solutions cover every current Windows platform, including Windows 95, 98, 2000, NT, or CE. Practical, comprehensive coverage includes: Event-driven programming with the AppWizard and MFC application framework Menus, dialog boxes, and Windows Printing and GDI functions Database programs using MFC classes Internet programs with CGI, sockets, SMTP, ISAPI filters, and ActiveX Reusable custom C++ classes for common programming tasks No matter what flavor of Windows you use, "Windows Programming Programmer's Notebook" will put you "in the picture" and get you up and programming right away.

Download or read book Coding and Programming with Pencil Paper A Notebook to Plan and Design Your Code written by Brightview Notebooks and published by Independently Published. This book was released on 2018-10-06 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you looking for a coding journal for school, home, work or college? This practical coding and programming Notebook is perfect for the coder and game designer. It has a range of different paper styles to help you plan, create storyboards, develop algorithms, flowcharts, structure charts, write code with numbered lined paper, pseudocode, scribble your thoughts, ideas, designs, coding ideas, note taking, html pages, stories, journaling or doodling. The notebook is 8.5 x 11 ( 21.59 x 27.94 cm) with a glossy cover. The Coding and Programming Notebook has 260 pages of the following types of paper: College-ruled lined paper (20 pages) College ruled lined paper with numbered lines - for writing code (20 pages) Half college ruled / half graph paper (5x5) (20 pages) Half college ruled/ half blank (20 pages) Graph paper (5x5) (20 pages) Sketch paper (20 pages) Storyboard for 9-step algorithm (20 pages) Storyboard for 18-step algorithm (20 pages) Dot grid paper (20 pages) Two-column lined paper (20 pages) Hexagonal paper (.5 inch) (20 pages) Graph paper programming (4x4) grids with separate worksheet (20 pages) An ideal gift for a game designer, computer geek, teacher, web developer, coder, inventor

Download or read book Python Data Science Handbook written by Jake VanderPlas and published by "O'Reilly Media, Inc.". This book was released on 2016-11-21 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Download or read book Coding Notebook written by Cute Coding Notebooks and published by . This book was released on 2020-01-07 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Looking for a cool and funny Coding journal for school, home, work or college? Then this is the one for you. Also, this notebook makes a great gift for your programmers friends, family members or co-workers! Details: 110 pages Premium matte cover design High quality interior stock Perfectly sized at 6x9 inches For more beautifully designed coding notebooks, click the name of the author, under the title. Uses: Coding Reminder for Projects Daily goals Creative Writing Journals TO-DO list Christmas Presents Birthday Presents Friendship Gifts Thank You Gifts

Download or read book Deep Learning with Python written by Francois Chollet and published by Simon and Schuster. This book was released on 2017-11-30 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupyter notebooks on an EC2 GPU instance

Download or read book Everything You Need to Ace Computer Science and Coding in One Big Fat Notebook UK Edition written by Grant Smith and published by Workman. This book was released on 2020-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The newest addition to the wildly successful Big Fat Notebook series, with 3.99 million copies in print: a lively, information-packed, and fully illustrated guide to Computer Science and Coding for upper middle-grade readers.

Download or read book R Markdown written by Yihui Xie and published by CRC Press. This book was released on 2018-07-27 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. In this book, you will learn Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ioslides/Slidy/Beamer/PowerPoint presentations Extensions and applications: Dashboards, Tufte handouts, xaringan/reveal.js presentations, websites, books, journal articles, and interactive tutorials Advanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents. Yihui Xie is a software engineer at RStudio. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, shiny, xaringan, and animation. He has published three other books, Dynamic Documents with R and knitr, bookdown: Authoring Books and Technical Documents with R Markdown, and blogdown: Creating Websites with R Markdown. J.J. Allaire is the founder of RStudio and the creator of the RStudio IDE. He is an author of several packages in the R Markdown ecosystem including rmarkdown, flexdashboard, learnr, and radix. Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R. He wrote the lubridate R package and works for RStudio as an advocate who trains engineers to do data science with R and the Tidyverse.

Download or read book Line Numbered Paper for Coding written by BrightView Notebooks and published by . This book was released on 2018-11-02 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Line Numbered Paper for Coding A notebook to help design your code 200 pages (100 sheets) of 5x5 graph paper Page Colour: White Cover Finish: Matte Softcover paperback If you are writing your code manually using a pen and paper, this paper is just what you're looking for. College-ruled lined paper with each line numbered. Perfect for the student coder, projects for the Hour of Code, teachers or the hobby coder. Coding starts with design whether it's a flowchart, algorithm, pseudocode, layout diagram, storyboard.... or just doodling.

Download or read book Hands On Machine Learning with Scikit Learn Keras and TensorFlow written by Aurélien Géron and published by "O'Reilly Media, Inc.". This book was released on 2019-09-05 with total page 851 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets

Download or read book Coding All in One For Dummies written by Nikhil Abraham and published by John Wiley & Sons. This book was released on 2017-04-18 with total page 797 pages. Available in PDF, EPUB and Kindle. Book excerpt: See all the things coding can accomplish The demand for people with coding know-how exceeds the number of people who understand the languages that power technology. Coding All-in-One For Dummies gives you an ideal place to start when you're ready to add this valuable asset to your professional repertoire. Whether you need to learn how coding works to build a web page or an application or see how coding drives the data revolution, this resource introduces the languages and processes you'll need to know. Peek inside to quickly learn the basics of simple web languages, then move on to start thinking like a professional coder and using languages that power big applications. Take a look inside for the steps to get started with updating a website, creating the next great mobile app, or exploring the world of data science. Whether you're looking for a complete beginner's guide or a trusted resource for when you encounter problems with coding, there's something for you! Create code for the web Get the tools to create a mobile app Discover languages that power data science See the future of coding with machine learning tools With the demand for skilled coders at an all-time high, Coding All-in-One For Dummies is here to propel coding newbies to the ranks of professional programmers.

Download or read book Coding All in One For Dummies written by Chris Minnick and published by John Wiley & Sons. This book was released on 2022-06-27 with total page 919 pages. Available in PDF, EPUB and Kindle. Book excerpt: The go-to guide for learning coding from the ground-up Adding some coding know-how to your skills can help launch a new career or bolster an old one. Coding All-in-One For Dummies offers an ideal starting place for learning the languages that make technology go. This edition gets you started with a helpful explanation of how coding works and how it’s applied in the real-world before setting you on a path toward writing code for web building, mobile application development, and data analysis. Add coding to your skillset for your existing career, or begin the exciting transition into life as a professional developer—Dummies makes it easy. Learn coding basics and how to apply them Analyze data and automate routine tasks on the job Get the foundation you need to launch a career as a coder Add HTML, JavaScript, and Python know-how to your resume This book serves up insight on the basics of coding, designed to be easy to follow, even if you’ve never written a line of code in your life. You can do this.

Download or read book Bayesian Methods for Hackers written by Cameron Davidson-Pilon and published by Addison-Wesley Professional. This book was released on 2015-09-30 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice–freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You’ll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you’ve mastered these techniques, you’ll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes • Learning the Bayesian “state of mind” and its practical implications • Understanding how computers perform Bayesian inference • Using the PyMC Python library to program Bayesian analyses • Building and debugging models with PyMC • Testing your model’s “goodness of fit” • Opening the “black box” of the Markov Chain Monte Carlo algorithm to see how and why it works • Leveraging the power of the “Law of Large Numbers” • Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning • Using loss functions to measure an estimate’s weaknesses based on your goals and desired outcomes • Selecting appropriate priors and understanding how their influence changes with dataset size • Overcoming the “exploration versus exploitation” dilemma: deciding when “pretty good” is good enough • Using Bayesian inference to improve A/B testing • Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.

Download or read book Ultimate Go Notebook written by William Kennedy and published by . This book was released on 2021-07-08 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Keep Calm and Code in JavaScript written by Peter Smith and published by . This book was released on 2019-03-11 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: This notebook is wonderful as a gift, present, or personal notebook for a web developer, machine coder, or computer geek. It is designed for creative people who love programming Perfect for personal use, or for your whole office. Get yours today! You can use it as a place to keep your daily notes, journal, drawings and much more! Coding Notebook includes: Cover Finish: Matte Dimensions: 6" x 9" (15.24 x 22.86 cm) Interior: White Paper, Lined Pages: 110 This notebook's pages are ready and waiting to be filled!

Download or read book 100 Day of Code Journal written by Holly Boothroyd and published by . This book was released on 2021-11-23 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take the 100 Days of Code challenge! For 100 days, for just an hour a day invest in yourself by taking the time to improve your tech skills and ultimately make progress toward your goals. Use this book to: Goal plan for the next 100 days Brainstorm skills you want to grow and projects you want to build Track your daily progress and key milestones Record resources you found helpful Boost your motivation Remind yourself to celebrate the wins Find online learning platforms for tech skills Keep yourself accountable to your goals Thousands of people around the world have completed this challenge - now it's your turn! P.S. It makes a great gift for friends + family who are looking to build their tech skills!