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Python from the Very Beginning

Python from the Very Beginning

Author: John Whitington

Publisher: Coherent Press

ISBN: 9780957671157

Category: Computers

Page: 238

View: 925

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In Python from the Very Beginning John Whitington takes a no-prerequisites approach to teaching the basics of a modern general-purpose programming language. Each small, self-contained chapter introduces a new topic, building until the reader can write quite substantial programs. There are plenty of questions and, crucially, worked answers and hints. Python from the Very Beginning will appeal both to new programmers, and to experienced programmers eager to explore functional languages such as Haskell. It is suitable both for formal use within an undergraduate or graduate curriculum, and for the interested amateur.

Beginning Python

Beginning Python

Author: Magnus Lie Hetland

Publisher: Apress

ISBN: 9781430200727

Category: Computers

Page: 615

View: 919

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* Totaling 900 pages and covering all of the topics important to new and intermediate users, Beginning Python is intended to be the most comprehensive book on the Python ever written. * The 15 sample projects in Beginning Python are attractive to novice programmers interested in learning by creating applications of timely interest, such as a P2P file-sharing application, Web-based bulletin-board, and an arcade game similar to the classic Space Invaders. * The author Magnus Lie Hetland, PhD, is author of Apress’ well-received 2002 title, Practical Python, ISBN: 1-59059-006-6. He’s also author of the popular online guide, Instant Python Hacking (http://www.hetland.org), from which both Practical Python and Beginning Python are based.

Python Web Development with Sanic

Python Web Development with Sanic

Author: Adam Hopkins

Publisher: Packt Publishing Ltd

ISBN: 9781801816434

Category: Computers

Page: 504

View: 783

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Build a performant and scalable web application using Sanic, along with maintaining clean code to fit your unique challenges and business requirements Key Features Expand your knowledge of web application architecture for building scalable web apps Learn the core philosophies of performance and scalability from one of the creators of Sanic Create a complete Python web app from scratch and learn to translate the knowledge you gain across various use cases Book Description Today's developers need something more powerful and customizable when it comes to web app development. They require effective tools to build something unique to meet their specific needs, and not simply glue a bunch of things together built by others. This is where Sanic comes into the picture. Built to be unopinionated and scalable, Sanic is a next-generation Python framework and server tuned for high performance. This Sanic guide starts by helping you understand Sanic's purpose, significance, and use cases. You'll learn how to spot different issues when building web applications, and how to choose, create, and adapt the right solution to meet your requirements. As you progress, you'll understand how to use listeners, middleware, and background tasks to customize your application. The book will also take you through real-world examples, so you will walk away with practical knowledge and not just code snippets. By the end of this web development book, you'll have gained the knowledge you need to design, build, and deploy high-performance, scalable, and maintainable web applications with the Sanic framework. What you will learn Understand the difference between WSGI, Async, and ASGI servers Discover how Sanic organizes incoming data, why it does it, and how to make the most of it Implement best practices for building reliable, performant, and secure web apps Explore useful techniques for successfully testing and deploying a Sanic web app Create effective solutions for the modern web, including task management, bot integration, and GraphQL Identify security concerns and understand how to deal with them in your Sanic apps Who this book is for This book is for Python web developers who have basic to intermediate-level knowledge of how web technologies work and are looking to take their applications to the next level using the power of the Sanic framework. Working knowledge of Python web development along with frameworks such as Django and/or Flask will be helpful but is not required. A basic to intermediate-level understanding of Python 3, HTTP, RESTful API patterns, and modern development practices and tools, such as type annotations, pytest, and virtual environments will also be beneficial.

Hands-on Supervised Learning with Python

Hands-on Supervised Learning with Python

Author: Gnana Lakshmi T C

Publisher: BPB Publications

ISBN: 9789389328974

Category: Computers

Page: 384

View: 400

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Hands-On ML problem solving and creating solutions using Python KEY FEATURES ●Introduction to Python Programming ●Python for Machine Learning ●Introduction to Machine Learning ●Introduction to Predictive Modelling, Supervised and Unsupervised Algorithms ●Linear Regression, Logistic Regression and Support Vector Machines DESCRIPTION You will learn about the fundamentals of Machine Learning and Python programming post, which you will be introduced to predictive modelling and the different methodologies in predictive modelling. You will be introduced to Supervised Learning algorithms and Unsupervised Learning algorithms and the difference between them. We will focus on learning supervised machine learning algorithms covering Linear Regression, Logistic Regression, Support Vector Machines, Decision Trees and Artificial Neural Networks. For each of these algorithms, you will work hands-on with open-source datasets and use python programming to program the machine learning algorithms. You will learn about cleaning the data and optimizing the features to get the best results out of your machine learning model. You will learn about the various parameters that determine the accuracy of your model and how you can tune your model based on the reflection of these parameters. WHAT WILL YOU LEARN ●Get a clear vision of what is Machine Learning and get familiar with the foundation principles of Machine learning. ●Understand the Python language-specific libraries available for Machine learning and be able to work with those libraries. ●Explore the different Supervised Learning based algorithms in Machine Learning and know how to implement them when a real-time use case is presented to you. ●Have hands-on with Data Exploration, Data Cleaning, Data Preprocessing and Model implementation. ●Get to know the basics of Deep Learning and some interesting algorithms in this space. ●Choose the right model based on your problem statement and work with EDA techniques to get good accuracy on your model WHO THIS BOOK IS FOR This book is for anyone interested in understanding Machine Learning. Beginners, Machine Learning Engineers and Data Scientists who want to get familiar with Supervised Learning algorithms will find this book helpful. TABLE OF CONTENTS 1. Introduction to Python Programming 2. Python for Machine Learning 3. Introduction to Machine Learning 4. Supervised Learning and Unsupervised Learning 5. Linear Regression: A Hands-on guide 6. Logistic Regression – An Introduction 7. A sneak peek into the working of Support Vector machines(SVM) 8. Decision Trees 9. Random Forests 10. Time Series models in Machine Learning 11. Introduction to Neural Networks 12. Recurrent Neural Networks 13. Convolutional Neural Networks 14. Performance Metrics 15. Introduction to Design Thinking 16. Design Thinking Case Study

Immortal Becomes a Stay-at-home Dad After Return

Immortal Becomes a Stay-at-home Dad After Return

Author: Shui Shan

Publisher: Funstory

ISBN: 9781636457369

Category: Fiction

Page:

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A thousand years ago, Mo Xun was accidentally swallowed by a spatial crack and entered the cultivation world. A thousand years later, he came back to earth, but only seven years had passed on Earth! Furthermore, his wife even gave birth to a girl, who is his daughter! His wife is beautiful, the child is cute. He had wanted to stay at home and live a simple life, but unexpectedly, he was left with a huge amount of debts. Mo Xun sighed and had no choice but to help his wife and daughter create a land of happiness...

Using Asyncio in Python

Using Asyncio in Python

Author: Caleb Hattingh

Publisher: "O'Reilly Media, Inc."

ISBN: 9781492075288

Category: Computers

Page: 166

View: 555

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If you’re among the Python developers put off by asyncio’s complexity, it’s time to take another look. Asyncio is complicated because it aims to solve problems in concurrent network programming for both framework and end-user developers. The features you need to consider are a small subset of the whole asyncio API, but picking out the right features is the tricky part. That’s where this practical book comes in. Veteran Python developer Caleb Hattingh helps you gain a basic understanding of asyncio’s building blocks—enough to get started writing simple event-based programs. You’ll learn why asyncio offers a safer alternative to preemptive multitasking (threading) and how this API provides a simpleway to support thousands of simultaneous socket connections. Get a critical comparison of asyncio and threading for concurrent network programming Take an asyncio walk-through, including a quickstart guidefor hitting the ground looping with event-based programming Learn the difference between asyncio features for end-user developers and those for framework developers Understand asyncio’s new async/await language syntax, including coroutines and task and future APIs Get detailed case studies (with code) of some popular asyncio-compatible third-party libraries

Bioinformatics Programming in Python

Bioinformatics Programming in Python

Author: Ruediger-Marcus Flaig

Publisher: John Wiley & Sons

ISBN: 9783527644902

Category: Medical

Page: 428

View: 239

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This first introductory book designed to train novice programmers is based on a student course taught by the author, and has been optimized for biology students without previous experience in programming. By interspersing theory chapters with numerous small and large programming exercises, the author quickly shows readers how to do their own programming, and throughout uses anecdotes and real-life examples from the biosciences to 'spice up' the text. This practical book thus teaches essential programming skills for life scientists who want -- or need -- to write their own bioinformatics software tools.

Python for Graph and Network Analysis

Python for Graph and Network Analysis

Author: Mohammed Zuhair Al-Taie

Publisher: Springer

ISBN: 9783319530048

Category: Computers

Page: 203

View: 339

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This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and many others at three levels of depth: ego, group, and community. They will be able to analyse militant and revolutionary networks and candidate networks during elections. For instance, they will learn how the Ebola virus spread through communities. Practically, the book is suitable for courses on social network analysis in all disciplines that use social methodology. In the study of social networks, social network analysis makes an interesting interdisciplinary research area, where computer scientists and sociologists bring their competence to a level that will enable them to meet the challenges of this fast-developing field. Computer scientists have the knowledge to parse and process data while sociologists have the experience that is required for efficient data editing and interpretation. Social network analysis has successfully been applied in different fields such as health, cyber security, business, animal social networks, information retrieval, and communications.

Python for Bioinformatics

Python for Bioinformatics

Author: Sebastian Bassi

Publisher: CRC Press

ISBN: 9781351976961

Category: Mathematics

Page: 424

View: 585

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In today's data driven biology, programming knowledge is essential in turning ideas into testable hypothesis. Based on the author’s extensive experience, Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. Requiring no prior knowledge of programming-related concepts, the book focuses on the easy-to-use, yet powerful, Python computer language. This new edition is updated throughout to Python 3 and is designed not just to help scientists master the basics, but to do more in less time and in a reproducible way. New developments added in this edition include NoSQL databases, the Anaconda Python distribution, graphical libraries like Bokeh, and the use of Github for collaborative development.

Core Python Programming

Core Python Programming

Author: Wesley Chun

Publisher: Prentice Hall Professional

ISBN: 9780130260369

Category: Computers

Page: 805

View: 127

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Demonstrates the programming language's strength as a Web development tool, covering syntax, data types, built-ins, the Python standard module library, and real world examples.

Mastering Google App Engine

Mastering Google App Engine

Author: Mohsin Shafique Hijazee

Publisher: Packt Publishing Ltd

ISBN: 9781784394929

Category: Computers

Page: 368

View: 336

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Build robust and highly scalable web applications with Google App Engine About This Book Get an in-depth look at how Google App Engine works under the hood Design and model your application around Google's highly scalable distributed NoSQL datastore to unlock its full potential A comprehensive guide to ensure your mastery of Google App Engine Who This Book Is For If you have been developing web applications in Python or any other dynamic language but have always wondered how to write highly scalable web applications without getting into system administration and other plumbing, then this is the book for you. No experience in writing scalable applications is required. What You Will Learn Scale and develop your applications with Google App Engine's runtime environment Get to grips with request handling mechanism and write request handlers Deep dive into Google's distributed NoSQL and highly scalable datastore and design your application around it Implement powerful search with scalable datastore Perform long-running tasks in the background using task queues Write compartmentalized apps using multi tenancy, memcache, and other Google App Engine runtime services Handle web requests using the CGI, WSGI, and multi-threaded configurations Deploy, tweak, and manage apps in production on Google App Engine In Detail Developing web applications that serve millions of users is no easy task, as it involves a number of configurations and administrative tasks for the underlying software and hardware stack. This whole configuration requires not only expertise, but also a fair amount of time as well. Time that could have been spent on actual application functionality. Google App Engine allows you develop highly scalable web applications or backends for mobile applications without worrying about the system administration plumbing or hardware provisioning issues. Just focus writing on your business logic, the meat of the application, and let Google's powerful infrastructure scale it to thousands of requests per second and millions of users without any effort on your part. This book takes you from explaining how scalable applications work to designing and developing robust scalable web applications of your own, utilizing services available on Google App Engine. Starting with a walkthrough of scalability is and how scalable web applications work, this book introduces you to the environment under which your applications exist on Google App Engine. Next, you will learn about Google's datastore, which is a massively scalable distributed NoSQL solution built on top of BigTable. You will examine the BigTable concepts and operations in detail and reveal how it is used to build Google datastore. Armed with this knowledge, you will then advance towards how to best model your data and query that along with transactions. To augment the powerful distributed dataset, you will deep dive into search functionality offered on Google App Engine. With the search and storage sorted out, you will get a look into performing long running tasks in the background using Google App Engine task queues along with sending and receiving emails. You will also examine the memcache to boost web application performance, image processing for common image manipulation tasks. You will then explore uploading, storing, and serving large files using Blobstore and Cloud storage. Finally, you will be presented with the deployment and monitoring of your applications in production along with a detailed look at dividing applications into different working modules. Style and approach This book is an in-depth guide where you will examine the problems in the context of highly scalable web applications. This book will take you through the libraries, services, and required configuration and finally puts everything together into a small web application that showcases all the capabilities of Google App Engine.

Monty Python Speaks, Revised and Updated Edition

Monty Python Speaks, Revised and Updated Edition

Author: David Morgan

Publisher: HarperCollins

ISBN: 9780062866462

Category: Biography & Autobiography

Page: 432

View: 926

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With a Foreword by John Oliver, host of Last Week Tonight In celebration of the 50th anniversary of its BBC debut, a revised and updated edition of the complete oral history of Monty Python—an insightful, in-depth portrait of the brilliant and hysterically funny show that transformed modern comedy. Broadcast by the BBC between 1969 and 1974, Monty Python’s Flying Circus introduced something completely different: a new brand of surrealistic, stream-of-consciousness comedy that pushed the traditional boundaries of format, style, and content. Blending brilliant satire with slapstick silliness, The Pythons—Graham Chapman, John Cleese, Terry Gilliam, Eric Idle, Terry Jones and Michael Palin—spoke to a generation eager to break free of the conventional. Making their way across the Atlantic and the world, the Pythons’ zany approach to comedy would have a monumental influence on modern popular culture, paving the way for farcical entertainment from Saturday Night Live to The Simpsons to Austin Powers. In Monty Python Speaks, David Morgan has collected interviews with Monty Python’s founding members, actors, producers, and other collaborators to produce a no-holds-barred look at the Pythons’ legendary sketches and films, including Monty Python’s Life of Brian, Monty Python and the Holy Grail (the inspiration for the hit Broadway musical Spamalot), and The Meaning of Life. Featuring four new chapters that focus on the group’s oeuvre since the first edition’s publication twenty years ago, as well as a new foreword and updated resources, Monty Python Speaks offers a fascinating peek behind the scenes of the Pythons’ creative process—including the friendships and feuds—that catapulted a comedy revolution.