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Author: Script It
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Are you ready to dive into the world of Python programming? Look no further! "The Python Blueprint: A Hands-on Approach to Conquer Python Programming from Scratch" is your comprehensive guide designed specifically for beginners. This book seamlessly intertwines basic Python programming concepts with practical exercises and real-world projects, providing you with a profound understanding of Python and its vast capabilities. Inside "The Python Blueprint", you'll discover a range of fundamental and advanced Python topics, including data types, variables, operators, data structures, object-oriented programming (OOP), exception handling, file operations, and more. But we don't stop at the basics. We delve into topics such as regular expressions, functional programming, web scraping, API interactions, databases, and cloud computing. We've carefully designed this Python guide to be easy to understand, with clear explanations, step-by-step examples, and hands-on projects that bring theories to life. From understanding algorithms and data structures to unraveling the mysteries of machine learning with libraries like NumPy, Pandas, and Scikit-Learn, this book is an all-in-one learning resource for Python programming. Whether you're an aspiring data scientist, a coding enthusiast looking to add a new language to your arsenal, or a complete beginner wanting to kickstart your programming journey, this Python book is crafted just for you. It's not just a book; it's a blueprint that will provide you with the skills and confidence you need to navigate the Python landscape and solve real-world problems efficiently. "Python Blueprint" is more than a book; it's a journey into the heart of Python programming, a journey we invite you to join. It's time to conquer Python programming. Start your journey today!
Author: Daniel Furtado
Publisher: Packt Publishing Ltd
ISBN: 178646490X
Category : Computers
Languages : en
Pages : 449
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Book Description
Python is a very powerful, high-level, object-oriented programming language. It has swiftly developed over the years to become the language of choice for software developers due to its simplicity. This book takes you through varied and real-life projects. The examples start with the basics and gradually increase in complexity, helping boost ...
Author: Jens Albrecht
Publisher: "O'Reilly Media, Inc."
ISBN: 1492074039
Category : Computers
Languages : en
Pages : 504
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Book Description
Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it's not always clear which NLP tools or libraries would work for a business's needs, or which techniques you should use and in what order. This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-world case studies and detailed code examples in Python to help you get started quickly. Extract data from APIs and web pages Prepare textual data for statistical analysis and machine learning Use machine learning for classification, topic modeling, and summarization Explain AI models and classification results Explore and visualize semantic similarities with word embeddings Identify customer sentiment in product reviews Create a knowledge graph based on named entities and their relations
Author: Cyberpunk Architects
Publisher: Createspace Independent Publishing Platform
ISBN: 9781545443477
Category :
Languages : en
Pages : 240
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Book Description
Ever wonder how easy it is to hack into someone's bank account info while surfing the net at your local Starbucks? Take Your Hacking To The Next Level We have taken our 3 Bestselling books on Hacking and Python Programming and created the ULTIMATE Blueprint for you! The Cyberpunk Architects, believe that we have the ability to teach computer programming and the like to anybody by providing them with the blueprint, the basics in order to build the strongest foundation on. We know how tricky it is to learn and become a master of any area of computer programming especially Hacking. Our team is comprised of professionals who have been in the industry of information technology for decades and our experience made us able to create information products such as this step-by-step guide. We give you the blueprint and show you what to do, and more important, HOW TO DO IT! HACKING How to setup your new hacking environment How to use the Linux Terminal and master it's functions How to be completely Anonymous online like the Pro's How to setup NMAP Which tools the REAL hackers use to crack passwords How you can use multiple tools to gather information with Wireless Hacking How TOR and the DarkNet actually work How to keep yourself SAFE from bring hacked BONUS: The FREE Guide To Computer Programming ADVANCE HACKING Learn about The Most Dangerous Cyber Security Threats in 2017 How to Hack someone or something and not get caught... How mask your IP online like the Pro's Which tools are the best to use when hacking high security systems PYTHON Getting to know the Python program Basic commands you need to know Working with loops Handling exceptions in your code Conditional statements And more... Buy This Book NOW To Learn How To Become Python and Hacking Expert, today!! Pick up your copy today by clicking the BUY NOW button at the top of this page!
Author: Joel Perras
Publisher: Packt Publishing Ltd
ISBN: 1784397342
Category : Computers
Languages : en
Pages : 198
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Book Description
Dive into the world of the Flask microframework to develop an array of web applications About This Book Structure, compose, and build powerful Flask HTML-based applications and JSON/XML-based APIs using advanced application design patterns Integrate third-party Flask extensions for tasks such as social authentication, sending emails, and interacting with databases and cache layers Build a series of Flask applications of increasing complexity Who This Book Is For If you are a Python web developer who has developed basic Flask applications and now wants to build a series of more complex web applications, then this is the book for you. What You Will Learn Use the virtualenv Python package to effectively isolate your development environments Convert a simple one-file Flask application into a more full-fledged multi-package application Integrate Flask-Login for simple user authentication, Flask-WTF for forms, and Flask-SQLAlchemy for database interactions Explore URL routing and dispatching in a blueprint structured application Create your own signals and consume them within your application Learn to leverage Werkzeug, the WSGI library that powers much of Flask Implement custom exceptions for handling non-20x response codes Write your own CLI tools for administrative and development tasks of your Flask application using Flask-Script/Click Build your Flask extensions to encapsulate reusable behaviors across your applications Integrate your application with open source JavaScript-based graphing libraries to create simple data visualizations In Detail Flask is a small but powerful web development framework for Python. Though Flask is termed a micro-framework, it is no way lacking in functionality; there are many extensions available to Flask which helps it to function at the same level as other large frameworks such as Django and Ruby on Rails. This book will demonstrate how to develop a series of web application projects with the Python web micro-framework, and leverage extensions and external Python libraries and APIs to extend the development of a variety of larger and more complex web applications. The book will start by explaining Python's Virtualenv library and how to create and switch between multiple virtual environments. You'll first build an SQL database-backed application, which will use Flask-WTF, Flask-SQLAlchemy, Jinja templates, and other methods. Next you'll move on to a timeline application, built using concepts including pytest-Flask, the Blinker package, data modelling for user timelines, exception handling, and creating and organizing CLI tools. Moving on, you'll discover how to implement a photo timeline application where you'll explore topics such as writing and running celery tasks, API error handling and testing, and Werkzeug middlewares. Finally, the book walks you through creating an application which fetches data from GitHub and stores it locally. You will also learn how to install and configure Flask-Click extension. Style and approach This book covers how to effectively use the Flask micro-framework to develop a series of web applications. Each chapter focusses on the development of an application increasing in complexity with easy steps to follow.
Author: Script It
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
Are you ready to dive into the world of Python programming? Look no further! "The Python Blueprint: A Hands-on Approach to Conquer Python Programming from Scratch" is your comprehensive guide designed specifically for beginners. This book seamlessly intertwines basic Python programming concepts with practical exercises and real-world projects, providing you with a profound understanding of Python and its vast capabilities. Inside "The Python Blueprint", you'll discover a range of fundamental and advanced Python topics, including data types, variables, operators, data structures, object-oriented programming (OOP), exception handling, file operations, and more. But we don't stop at the basics. We delve into topics such as regular expressions, functional programming, web scraping, API interactions, databases, and cloud computing. We've carefully designed this Python guide to be easy to understand, with clear explanations, step-by-step examples, and hands-on projects that bring theories to life. From understanding algorithms and data structures to unraveling the mysteries of machine learning with libraries like NumPy, Pandas, and Scikit-Learn, this book is an all-in-one learning resource for Python programming. Whether you're an aspiring data scientist, a coding enthusiast looking to add a new language to your arsenal, or a complete beginner wanting to kickstart your programming journey, this Python book is crafted just for you. It's not just a book; it's a blueprint that will provide you with the skills and confidence you need to navigate the Python landscape and solve real-world problems efficiently. "Python Blueprint" is more than a book; it's a journey into the heart of Python programming, a journey we invite you to join. It's time to conquer Python programming. Start your journey today!
Author: Hariom Tatsat
Publisher: "O'Reilly Media, Inc."
ISBN: 1492073008
Category : Computers
Languages : en
Pages : 432
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Book Description
Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You’ll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You’ll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations
Author: Dr. Menua Gevorgyan
Publisher: Packt Publishing Ltd
ISBN: 1789617634
Category : Computers
Languages : en
Pages : 356
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Book Description
Get to grips with traditional computer vision algorithms and deep learning approaches, and build real-world applications with OpenCV and other machine learning frameworks Key FeaturesUnderstand how to capture high-quality image data, detect and track objects, and process the actions of animals or humansImplement your learning in different areas of computer visionExplore advanced concepts in OpenCV such as machine learning, artificial neural network, and augmented realityBook Description OpenCV is a native cross-platform C++ library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. This book will get you hands-on with a wide range of intermediate to advanced projects using the latest version of the framework and language, OpenCV 4 and Python 3.8, instead of only covering the core concepts of OpenCV in theoretical lessons. This updated second edition will guide you through working on independent hands-on projects that focus on essential OpenCV concepts such as image processing, object detection, image manipulation, object tracking, and 3D scene reconstruction, in addition to statistical learning and neural networks. You’ll begin with concepts such as image filters, Kinect depth sensor, and feature matching. As you advance, you’ll not only get hands-on with reconstructing and visualizing a scene in 3D but also learn to track visually salient objects. The book will help you further build on your skills by demonstrating how to recognize traffic signs and emotions on faces. Later, you’ll understand how to align images, and detect and track objects using neural networks. By the end of this OpenCV Python book, you’ll have gained hands-on experience and become proficient at developing advanced computer vision apps according to specific business needs. What you will learnGenerate real-time visual effects using filters and image manipulation techniques such as dodging and burningRecognize hand gestures in real-time and perform hand-shape analysis based on the output of a Microsoft Kinect sensorLearn feature extraction and feature matching to track arbitrary objects of interestReconstruct a 3D real-world scene using 2D camera motion and camera reprojection techniquesDetect faces using a cascade classifier and identify emotions in human faces using multilayer perceptronsClassify, localize, and detect objects with deep neural networksWho this book is for This book is for intermediate-level OpenCV users who are looking to enhance their skills by developing advanced applications. Familiarity with OpenCV concepts and Python libraries, and basic knowledge of the Python programming language are assumed.
Author: Miguel Grinberg
Publisher: "O'Reilly Media, Inc."
ISBN: 1491991690
Category :
Languages : en
Pages : 301
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Book Description
Take full creative control of your web applications with Flask, the Python-based microframework. With the second edition of this hands-on book, youâ??ll learn Flask from the ground up by developing a complete, real-world application created by author Miguel Grinberg. This refreshed edition accounts for important technology changes that have occurred in the past three years. Explore the frameworkâ??s core functionality, and learn how to extend applications with advanced web techniques such as database migrations and an application programming interface. The first part of each chapter provides you with reference and background for the topic in question, while the second part guides you through a hands-on implementation. If you have Python experience, youâ??re ready to take advantage of the creative freedom Flask provides. Three sections include: A thorough introduction to Flask: explore web application development basics with Flask and an application structure appropriate for medium and large applications Building Flasky: learn how to build an open source blogging application step-by-step by reusing templates, paginating item lists, and working with rich text Going the last mile: dive into unit testing strategies, performance analysis techniques, and deployment options for your Flask application
Author: Michael Beyeler
Publisher: Packt Publishing Ltd
ISBN: 1785289861
Category : Computers
Languages : en
Pages : 231
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Book Description
Design and develop advanced computer vision projects using OpenCV with Python About This Book Program advanced computer vision applications in Python using different features of the OpenCV library Practical end-to-end project covering an important computer vision problem All projects in the book include a step-by-step guide to create computer vision applications Who This Book Is For This book is for intermediate users of OpenCV who aim to master their skills by developing advanced practical applications. Readers are expected to be familiar with OpenCV's concepts and Python libraries. Basic knowledge of Python programming is expected and assumed. What You Will Learn Generate real-time visual effects using different filters and image manipulation techniques such as dodging and burning Recognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor Learn feature extraction and feature matching for tracking arbitrary objects of interest Reconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniques Track visually salient objects by searching for and focusing on important regions of an image Detect faces using a cascade classifier and recognize emotional expressions in human faces using multi-layer peceptrons (MLPs) Recognize street signs using a multi-class adaptation of support vector machines (SVMs) Strengthen your OpenCV2 skills and learn how to use new OpenCV3 features In Detail OpenCV is a native cross platform C++ Library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. OpenCV has C++/C, Python, and Java interfaces with support for Windows, Linux, Mac, iOS, and Android. Developers using OpenCV build applications to process visual data; this can include live streaming data from a device like a camera, such as photographs or videos. OpenCV offers extensive libraries with over 500 functions This book demonstrates how to develop a series of intermediate to advanced projects using OpenCV and Python, rather than teaching the core concepts of OpenCV in theoretical lessons. Instead, the working projects developed in this book teach the reader how to apply their theoretical knowledge to topics such as image manipulation, augmented reality, object tracking, 3D scene reconstruction, statistical learning, and object categorization. By the end of this book, readers will be OpenCV experts whose newly gained experience allows them to develop their own advanced computer vision applications. Style and approach This book covers independent hands-on projects that teach important computer vision concepts like image processing and machine learning for OpenCV with multiple examples.
Author: Jens Albrecht
Publisher: O'Reilly Media
ISBN: 1492074055
Category : Computers
Languages : en
Pages : 422
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Book Description
Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it's not always clear which NLP tools or libraries would work for a business's needs, or which techniques you should use and in what order. This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-world case studies and detailed code examples in Python to help you get started quickly. Extract data from APIs and web pages Prepare textual data for statistical analysis and machine learning Use machine learning for classification, topic modeling, and summarization Explain AI models and classification results Explore and visualize semantic similarities with word embeddings Identify customer sentiment in product reviews Create a knowledge graph based on named entities and their relations
