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Author: Dan Miller
Publisher:
ISBN: 9780648115403
Category :
Languages : en
Pages : 274
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Book Description
Summary Lean MEAN Web App Machine is for anyone interested in learning how to develop MEAN stack web applications. The MEAN stack is a collection of four main software application components (MongoDB, Express, Angular, NodeJS) that are used together to form a complete web application platform.This book provides a real hands-on learn-by-doing approach that will keep you interested. You¿ll enjoy real-world examples delivered in a fun and light-hearted style while discovering (or reinforcing) core skills that every software professional would want in their repertoire. What type of book is this? Lean MEAN Web App Machine is what you might call a tutorial-style guide. The material takes you through a series of activities that help develop knowledge by gradually building up a practical MEAN web app framework. What will you get out of reading it? By reading Lean MEAN Web App Machine you will benefit in the following ways: You will no longer be baffled by MEAN-related blog posts, tech articles, boiler-plates and generators that quickly drop ideas and concepts in front of you but leave you scratching your head as to what to do with them; You will have a solid understanding of the MEAN Stack ecosystem including its foundation components, some of the more advanced parts and supporting tools; You will be able to use the various parts, components, tools and documentation that are part of the MEAN stack environment on your own projects; You will be able to rapidly spin up a brand-new MEAN web app from scratch and be productive with it in minimal time; You will be able to have productive conversations with other technically adept people about some of the nuances of MEAN web applications; How is the book structured? Lean MEAN Web App Machine is structured around the idea of gradually building up a functionally complete environment, framework and code-base for a MEAN stack web application.
Author: Dan Miller
Publisher:
ISBN: 9780648115403
Category :
Languages : en
Pages : 274
Get Book Here
Book Description
Summary Lean MEAN Web App Machine is for anyone interested in learning how to develop MEAN stack web applications. The MEAN stack is a collection of four main software application components (MongoDB, Express, Angular, NodeJS) that are used together to form a complete web application platform.This book provides a real hands-on learn-by-doing approach that will keep you interested. You¿ll enjoy real-world examples delivered in a fun and light-hearted style while discovering (or reinforcing) core skills that every software professional would want in their repertoire. What type of book is this? Lean MEAN Web App Machine is what you might call a tutorial-style guide. The material takes you through a series of activities that help develop knowledge by gradually building up a practical MEAN web app framework. What will you get out of reading it? By reading Lean MEAN Web App Machine you will benefit in the following ways: You will no longer be baffled by MEAN-related blog posts, tech articles, boiler-plates and generators that quickly drop ideas and concepts in front of you but leave you scratching your head as to what to do with them; You will have a solid understanding of the MEAN Stack ecosystem including its foundation components, some of the more advanced parts and supporting tools; You will be able to use the various parts, components, tools and documentation that are part of the MEAN stack environment on your own projects; You will be able to rapidly spin up a brand-new MEAN web app from scratch and be productive with it in minimal time; You will be able to have productive conversations with other technically adept people about some of the nuances of MEAN web applications; How is the book structured? Lean MEAN Web App Machine is structured around the idea of gradually building up a functionally complete environment, framework and code-base for a MEAN stack web application.
Author: Dan Miller
Publisher:
ISBN: 9780648115403
Category :
Languages : en
Pages : 274
Get Book Here
Book Description
Summary Lean MEAN Web App Machine is for anyone interested in learning how to develop MEAN stack web applications. The MEAN stack is a collection of four main software application components (MongoDB, Express, Angular, NodeJS) that are used together to form a complete web application platform.This book provides a real hands-on learn-by-doing approach that will keep you interested. You¿ll enjoy real-world examples delivered in a fun and light-hearted style while discovering (or reinforcing) core skills that every software professional would want in their repertoire. What type of book is this? Lean MEAN Web App Machine is what you might call a tutorial-style guide. The material takes you through a series of activities that help develop knowledge by gradually building up a practical MEAN web app framework. What will you get out of reading it? By reading Lean MEAN Web App Machine you will benefit in the following ways: You will no longer be baffled by MEAN-related blog posts, tech articles, boiler-plates and generators that quickly drop ideas and concepts in front of you but leave you scratching your head as to what to do with them; You will have a solid understanding of the MEAN Stack ecosystem including its foundation components, some of the more advanced parts and supporting tools; You will be able to use the various parts, components, tools and documentation that are part of the MEAN stack environment on your own projects; You will be able to rapidly spin up a brand-new MEAN web app from scratch and be productive with it in minimal time; You will be able to have productive conversations with other technically adept people about some of the nuances of MEAN web applications; How is the book structured? Lean MEAN Web App Machine is structured around the idea of gradually building up a functionally complete environment, framework and code-base for a MEAN stack web application.
Author: Mike van Drongelen
Publisher: Packt Publishing Ltd
ISBN: 178646747X
Category : Computers
Languages : en
Pages : 367
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Book Description
Develop lean iOS and Android apps using industry standard techniques and lean development practices. About This Book Build ready-to-deploy apps with less iterations and shorter development times Adopt the lean startup methodologies to develop iOS and Android apps that shine in the App Store This hands-on guide puts continuous innovation into practice to develop successful mobile apps Who This Book Is For This book is for developers, CTOs, and architects working for a startup or another kind of lean startup environment, such as start-up within a cooperation. It is is ideal for any iOS and Android developer who wants to build successful mobile apps by adopting the lean startup methodology. What You Will Learn Apply the lean startup methodology to real Android and iOS development Define what your hypotheses are by creating an Minimal Viable Product Validate your idea against the Business Model Canvas Gather feedback through statistics and by getting user comments, learn from it, and adapt your app accordingly Develop skills and devise strategies to build versatile and flexible apps that meet changing business requirements Investigate the possibilities when you need to pivot your start-up idea whether in a startup or an established business. Create a successful app and get tips on how to boostconversion and how to optimize the on boardingprocess. In Detail Lean is the ultimate methodology for creating a startup that succeeds. Sounds great from a theoretical point of view, but what does that mean for you as an a technical co-founder or mobile developer? By applying the Lean Start-up methodology to your mobile App development, it will become so much easier to build apps that take Google Play or the App Store by storm. This book shows you how to bring together smarter business processes with technical know-how. It makes no sense to develop a brilliant app for six months or longer only to find out later that nobody is interested in it. Build a Minimum Viable Product (MVP) first. Validate your hypotheses early and often. Discover effective product development strategies that let you put Facebook's famous axiom "move fast and break things" into practice. A great app without visibility and marketing clout is nothing, so use this book to market your app, making use of effective metrics that help you track and iterate all aspects of project performance. Style and approach This book takes a hands-on approach to developing apps through the Lean Start-up Methodology. Following a 50% business and 50% tech approach, this book is filled with practical examples and real-world experiments.
Author: Matthew Russell
Publisher: "O'Reilly Media, Inc."
ISBN: 1449388345
Category : Computers
Languages : en
Pages : 356
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Book Description
Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed. Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools. Get a straightforward synopsis of the social web landscape Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn Learn how to employ easy-to-use Python tools to slice and dice the data you collect Explore social connections in microformats with the XHTML Friends Network Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits "Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python." --Jeff Hammerbacher, Chief Scientist, Cloudera "A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google
Author: Dino Esposito
Publisher: Pearson Education
ISBN: 0735660786
Category : Computers
Languages : en
Pages : 1444
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Book Description
Completely reengineered for ASP.NET 4—this definitive guide deftly illuminates the core architecture and programming features of ASP.NET 4 in a single, pragmatic volume. Web development expert Dino Esposito provides essential, architectural-level guidance, along with the in-depth technical insights designed to take you—and your solutions—to the next level. The book covers Dynamic Data, AJAX, Microsoft Silverlight, ASP.NET MVC, Web forms, LINQ, and security strategies—and features extensive code samples in Microsoft Visual C#(R) 2010.
Author: Neal Goldstein
Publisher: John Wiley & Sons
ISBN: 0470487372
Category : Computers
Languages : en
Pages : 412
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Book Description
Provides information to create applications using Objective-C for the iPhone SDK.
Author: Sebastian Raschka
Publisher: Packt Publishing Ltd
ISBN: 1787126021
Category : Computers
Languages : en
Pages : 623
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Book Description
Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. About This Book Second edition of the bestselling book on Machine Learning A practical approach to key frameworks in data science, machine learning, and deep learning Use the most powerful Python libraries to implement machine learning and deep learning Get to know the best practices to improve and optimize your machine learning systems and algorithms 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 and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data. What You Will Learn Understand the key frameworks in data science, machine learning, and deep learning Harness the power of the latest Python open source libraries in machine learning Explore machine learning techniques using challenging real-world data Master deep neural network implementation using the TensorFlow library Learn the mechanics of classification algorithms to implement the best tool for the job Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Delve deeper into textual and social media data using sentiment analysis In Detail Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili's unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you'll be ready to meet the new data analysis opportunities in today's world. If you've read the first edition of this book, you'll be delighted to find a new balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You'll be able to learn and work with TensorFlow more deeply than ever before, and get essential coverage of the Keras neural network library, along with the most recent updates to scikit-learn. Style and Approach Python Machine Learning Second Edition takes a practical, hands-on coding approach so you can learn about machine learning by coding with Python. This book moves fluently between the theoretical principles of machine learning and the practical details of implementation with Python.
Author: Alex Mackey
Publisher: Apress
ISBN: 1430224568
Category : Computers
Languages : en
Pages : 492
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Book Description
Microsoft has introduced a large number of changes to the way that the .NET Framework operates. Familiar technologies have being altered, best practices replaced, and developer methodologies adjusted. Many developers find it hard to keep up with the pace of change across .NET's ever-widening array of technologies. You may know what's happening in C#, but how about the Azure cloud? How is that going to affect your work? What are the limitations of the pLINQ syntax? What you need is a roadmap. A guide to help you see the innovations that matter and to give you a head start on the opportunities available in the new framework. Introducing .NET 4.0: with Visual Studio 2010 is designed to provide you with just that roadmap. It serves as a no-nonsense primer that will help experienced .NET developers understand the impact of the new framework and its associated technologies. This book will keep you updated on the changes and help you to seize new opportunities confidently and quickly.
Author: Louis Columbus
Publisher: LWC Research
ISBN: 9780672320538
Category : Business & Economics
Languages : en
Pages : 308
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Book Description
This book focuses on the market dynamics in business today that are driving the development of the ASP Model. It defines the core concepts and building blocks of e-business, leading the reader to a comprehensive understanding of the opportunities in this area. Market needs in all sizes and classes of business are driving the adoption of the ASP model by more businesses than was originally forecasted. Now, the largest software and technology companies of the world are actively pursuing the ASP model as a strong business approach. This book will define the key market drivers behind every aspect of the ASP model, including case studies to illustrate each major component. There will also be case studies of the companies that are market and industry leaders that describe their participation in this market. This book will also explore Microsoft's Office Online initiative, Oracle's Business Online stores, and the focus of AT & T's and SoftBank's role in this market. Dell Computer is actively looking into the ASP Model via investments in Interliant and Agillion. This book will delve into the collaborative tools aspect of the ASP model, which is crucial for the long-term success of this marketplace.
Author: Greg Elliott
Publisher: John Wiley & Sons
ISBN: 1394189699
Category :
Languages : en
Pages : 547
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Book Description
