Python
Książki, ebooki, kursy video z kategorii: Python dostępne w księgarni Ebookpoint
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Hands-on Application Development with PyCharm addresses the modern-age enterprise application development concerns and how to solve them using a variety of features and functionalities available in PyCharm. This book will help you master the art of developing and delivering production-ready and real-world python applications to your clients.-
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107.10 zł
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This book is a guide to the TensorFlow (TF) framework, from the static graph architecture of TF 1.x to the eager execution and all the new features introduced in TF 2.0. Neural Networks applications are developed throughout the book with the aim of making the reader capable of developing neural networks-based solutions to real problems using TF 2.0
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107.10 zł
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With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You’ll start with deep learning basics and move quickly to the
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This book will teach Python to complete beginners through a set of 3 practical projects. Its content goes over developing a handful of scripts, performing data analysis, train machine learning models and roll them into production. We will further outline the advanced topics and direct readers to relevant resources.
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With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project.Ideal for programmers, data scient
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If you wish to design smart, threat-proof cybersecurity systems using trending AI tools and techniques, then this book is for you. With this book, you will learn to develop intelligent systems that can detect suspicious patterns and attacks, thereby allowing you to protect your network and corporate assets.
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This book introduces basic-to-advanced deep learning algorithms used in a production environment by AI researchers and principal data scientists; it explains algorithms intuitively, including the underlying math, and shows how to implement them using popular Python-based deep learning libraries such as TensorFlow.
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Data Science with Python will help you get comfortable with using the Python environment for data science. You will learn all the libraries that a data scientist uses on a daily basis. By the end of this course, you will be able to take a large raw dataset, clean it, manipulate it, and run machine learning algorithms to obtain results that influenc
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Ensemble learning can provide the necessary methods to improve the accuracy and performance of existing models. In this book, you'll understand how to combine different machine learning algorithms to produce more accurate results from your models.
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This second edition will share practical, modern solutions and best practices on Flask web development. It enables you to work with templates, ORM, view layers, and admin interface to help you build, deploy, and debug powerful web apps. The book concludes with effective deployment and post-deployment techniques on Apache, Tornado, and Heroku.
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Web scraping is an essential technique used in many organizations to scrape valuable data from web pages. This book will help you master web scraping techniques and methodologies using Python libraries and other popular tools such as Selenium. By the end of this book, you will have learned how to efficiently scrape different websites.
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This book will provide you an overview of Deep Learning techniques to facilitate the analytics and learning in various IoT apps. We will take you through each process - from data collection, analysis, modeling, statistics, and monitoring. We will make IoT data speak with a set of popular frameworks, like TensorFlow, TensorFlow Lite, and Chainer.
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Mastering Object-Oriented Python, Second Edition, will introduce the advanced features of the Python programming language to create the highest quality Python programs possible. This means exploring design alternatives and determining which design offers the best performance, while still being a good fit with the problem being solved.
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Starting with the basics, this book teaches you how to choose from the various text pre-processing techniques and select the best model from the several neural network architectures for NLP issues.
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Malware analysis is a powerful investigation technique widely used in various security areas including digital forensics and incident response processes. Working through practical examples, you'll be able to analyze any type of malware you may encounter within the modern world.
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Principles of Strategic Data Science describes a framework that creates value from data to help organizations meet their objectives. With this book, you'll bridge the gap between mathematics and computer science and also gain insight into the workings of the entire data science pipeline.
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This book will help you leverage the power of data analysis and apply it to location and geospatial data to gain interesting insights. It presents useful tools and location intelligence techniques in Python to implement geospatial analytics from scratch.
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This book will be a journey for beginners who want to step into the world of deep learning and artificial intelligence. It will thoughtfully take you through the training and implementation of various neural network architectures using the Python ecosystem. You will master each neural network architecture while understanding its working mechanism.
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Computer vision is achieving a new frontier of capabilities in fields like health, automobile or robotics. This book explores TensorFlow 2, Google's open-source AI framework, and teaches how to leverage deep neural networks for visual tasks. It will help you acquire the insight and skills to be a part of the exciting advances in computer vision.
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Starting with the basics, Applied Unsupervised Learning with Python explains various techniques that you can apply to your data using the powerful Python libraries so that your unlabeled data reveals solutions to all your business questions.
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A supervised learning task infers a function from flagged training data and maps an input to an output based on sample input-output pairs. In this book, you will learn various machine learning techniques (such as linear and logistic regression) and gain the practical knowledge you need to quickly and powerfully apply algorithms to new problems.
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The book will aim to tackle this problem by providing a comprehensive walkthrough of GUI development with PyQt5. Beginning with a brief introduction to PyQt5, the book will take you on a journey towards building stunning GUIs. Finally, you will learn various optimization techniques to improve your application’s performance and functionality.
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MicroPython is an open source implementation of Python 3 language that runs on embedded environments. With MicroPython you can write clean and simple Python code to control hardware instead of having to use complex low-level languages such as C or C++. If you want to create devices that interact with physical world, this cookbook is perfect for you
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This book will acquaint you with various aspects of statistical analysis in Python. You will work with different types of prediction models, such as decision trees, random forests and neural networks. By the end of this book, you will be confident in using various Python packages to train your own models for effective machine learning.
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Dynamics 365 Business Central is the new Cloud-based SaaS ERP proposition from Microsoft. It’s not as simple as it used to be way back when it was called Navigator, Navision Financials, or Microsoft Business Solutions-Navision. Our development practices are becoming more formal, and with this the call for test automation is pressing on us. T
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This book explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations to help you understand the concepts and ideas required to build efficient artificial intelligence systems, this book will help you construct deep models using popular frameworks and datasets.
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This book enables you to develop financial applications by harnessing Python’s strengths in data visualization, interactive analytics, and scientific computing. You will be using popular libraries such as TensorFlow, Keras, scikit-learn, and so on to extend the functionalities of your financial applications by using smart machine learning te
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Expert Python Programming, Third Edition is a collection of valuable tips that will help you build robust and scalable applications in Python. These will help you become confident at solving challenging programming problems effectively.
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Data Science Projects with Python will help you build a toolkit for solving data science problems with Python. You will learn how to implement machine learning techniques for deriving insights from data. These skills will help you develop the kind of state-of-the-art predictive models that are used to deliver value to businesses across industries.
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Applied Supervised Learning with Python provides you a rich understanding of machine learning, one of the most pursued topics in information science, and Python, one of the most popular scripting languages. Through this book, you'll learn Jupyter Notebooks, the technology used in academic and commercial circles with in-line code running support.
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Odoo 12 Development Cookbook is a complete resource which provides you with various development scenarios to build complex business applications with the Odoo framework. This book will help you with implementing the new features released with the latest version in your enterprise projects.
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The emerging field of Network Science is about understanding different kind of relationships. This book covers the latest version 2.x of NetworkX for performing Network Science with Python.You will also learn the fundamentals of network theory and see practical examples of how they are applied to real-world problems using Python and NetworkX.
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This book is an introduction to data mining and its practical demonstration of working with real-world data sets. With this book, you will be able to extract useful insights using common Python libraries. You will also learn key stages like data loading, cleaning, analysis, visualization to build an efficient data mining pipeline.
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Q-learning is the reinforcement learning approach behind Deep-Q-Learning and is a values-based learning algorithm in RL. This book will help you get comfortable with developing the effective agents for Q learning and also make you learn to effectively develop and deploy Deep Q networks for complex AI applications.
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Reinforcement learning and deep reinforcement learning are the trending and most promising branches of artificial intelligence. This Learning Path will enable you to master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms and their limitations.
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Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control the data avalanche for you. With this book, you'll learn effective techniques to aggregate data into useful dimensions for posterior analysis, extract statist
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Misja Python to praktyczny przewodnik po tworzeniu gry komputerowej w języku Python języku programowania, który jest przyjazny dla początkujących i wykorzystywany przez miliony profesjonalistów oraz hobbystów, którzy po prostu chcą się dobrze bawić. Dzięki Misji Python utworzysz opartą na łamigłówkach grę przygodową z grafiką, dźwiękiem i animacja
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This book will give you an in-depth view of the potential of deep learning and neural networks in game development. You will also learn to use neural nets combined with reinforcement learning for new types of game AI.
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Data Science for Marketing Analytics opens doors to looking at data with a different approach and new tools. Drawing on machine learning and data science concepts, this book broadens the range of tools that you can use to transform the market analysis process.
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Artificial intelligence (AI) is rapidly becoming the most popular topic in business and science. This book introduces AI concepts and their use cases with a hands-on and application-focused approach. We will cover a range of projects covering tasks such as automated reasoning, facial recognition, digital assistants, auto text generation, and more.
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Natural Language Processing Fundamentals starts with basics and goes on to explain various NLP tools and techniques that equip you with all that you need to solve common business problems for processing text.
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TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks.
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This book will be an excellent resource for both Python and R developers and will help them apply data science and machine learning to marketing with real-world data sets. By the end of this book, you will be well equipped with the required knowledge and expertise to draw insights from data and improve your marketing strategies.
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Mastering OpenCV 4 with Python is a comprehensive guide to help you to get acquainted with various computer vision algorithms running in real-time. This book will help you to build complete projects on image processing, motion detection, and image segmentation where you can gain advanced computer vision techniques.
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Python is a popular programming language used for performing network automation in an easy-to-implement way. This book is an update to Learning Python Networking, and delves into the concepts of Python network programming and its importance in today’s world.
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In this book, you'll learn to implement some practical and proven techniques to improve aspects of programming and administration in Apache Spark. Techniques are demonstrated using practical examples and best practices. You will also learn how to use Spark and its Python API to create performant analytics with large-scale data.
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Here we show how an end-to-end serverless application can be built at scale in a production environment with a few lines of Python configuration. We show you how to set up, configure and create different parts of the stack, including using the AWS Management Console and AWS Serverless Application Model (SAM). We also provide Python code, which can
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Cognitive Toolkit is one of the most popular and recently open sourced deep learning toolkit by Microsoft. Cognitive Toolkit is used to train fast and effective deep learning models. This book will be a quick introduction to using Cognitive Toolkit and will teach you how to train and validate different types of neural networks.
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Automation is essential for success in the modern DevOps world. Ansible provides a simple yet powerful automation engine to tackle complex automation challengesThis book provides you with the knowledge you need to understand how Ansible 2.7 works at a fundamental level and leverage its advanced capabilities.
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Python Machine Learning by Example covers in detail the most important concepts, techniques, algorithms, and libraries that every data scientist or machine learning practitioner needs to know. This example-enriched guide will make your learning journey easier and happier, enabling you to solve real-world data-driven problems.
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Qt is a cross-platform application framework and widget toolkit that is used to create graphical user interface applications that run on a number of different hardware and operating systems. The main aim of this book is to introduce Qt to the reader with simple and easy to understand examples without focusing too much on theory.
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Data is the new oil, but it comes crude. To do anything meaningful - modeling, visualization, machine learning, for predictive analysis – you first need to wrestle and wrangle with data. Data Wrangling with Python teaches you the essentials that will get you up and running with data wrangling in no time.
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This book presents solutions to the majority of the challenges you will face while training neural networks to solve deep learning problems. It covers the trending deep learning architectures used in industry and tackles a variety of use cases in computer vision, text processing, audio analysis, recommender systems, and game bots
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With this Learning Path, you will gain complete knowledge to solve problems by building high performing applications loaded with asynchronous, multithreaded code and proven design patterns.
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Unsupervised learning is a key required block in both machine learning and deep learning domains. You will explore how to make your models learn, grow, change, and develop by themselves whenever they are exposed to a new set of data. With this book, you will learn the art of unsupervised learning for different real-world challenges.
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This Learning Path is a thorough and practical introduction to Python. You will learn all about Python data structures, its most common algorithms, and its objects, and use all these to create clever applications that will transform your business.
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This Learning Path takes you on a journey in the world of robotics and teaches you all that you can achieve with Raspberry Pi and Python - from building a movie recommendations system to creating your own self-driven robotic vehicle.
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Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to di
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This book is for Python developers to implement various components of end-to-end decentralized applications such as cryptocurrencies, smart contracts, wallet and more. You will use the example-based approach using various libraries from Python ecosystem to build efficient and powerful blockchain applications at work or projects.
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This book uses a recipe-based approach to showcase the power of machine learning algorithms to build ensemble models using Python libraries. Through this book, you will be able to pick up the code, understand in depth how it works, execute and implement it efficiently. This will be a desk reference to implement a wide range of tasks and solve the c
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QGIS is a user friendly, open source geographic information system (GIS). The popularity of open source GIS and QGIS, in particular, has been growing rapidly over the last few years. This book is designed to help beginners learn about all the tools required to use QGIS 3.4.
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In this book, we will use different complexities of datasets in order to build end-to-end projects. With every chapter, the level of complexity and operations will become advanced. It consists of 8 full-fledged projects covering approaches such as 3D-GAN, Age-cGAN, DCGAN, SRGAN, StackGAN, and CycleGAN with real-world use cases.
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Learning Python for Forensics, Second Edition begins by introducing you to the fundamentals of Python. You will learn how to develop Python scripts through an iterative design. This book will also help you strengthen your analysis skills and efficiency as you creatively solve real-world problems through instruction-based tutorials.
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Machine Learning (ML) is transforming the way we understand and interact with the world around us. This book is a perfect guide for you to use the Python ecosystem to cover key domains in the machine learning. You will learn to implement advanced concepts and most used machine learning algorithms using complex datasets and optimized techniques.
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The science of gathering and extracting information from data-intensive applications bring in the challenge of writing complex libraries and efficient programs using high level languages like Python, R, so on. This book aims to explore the power of Unix-styled scripting tools like awk, bash, grep and package them as highly efficient built-in progra
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Data Analysis with Python offers you an exciting new approach to data analysis that lets you work with the latest and most powerful Python tools, techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science and the power of programming and algorithms in Python, so you can work with complex algorithms, and
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The book will allow readers to implement smart solutions to their existing cybersecurity products and effectively build intelligent solutions which cater to the needs of the future. By the end of this book, you will be able to build, apply, and evaluate machine learning algorithms to identify various cybersecurity potential threats.
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Hands-On Enterprise Application Development with Python explains how Python has matured to become a suitable programming language to build robust applications that scale easily to manage the requirements of the enterprise. The book will explore features of Python 3.7, tested frameworks and tools and best programming practices for developing scalabl
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This book will teach you all the processes you need to build a predictive analytics solution: understanding the problem, preparing datasets, exploring relationships, model building, tuning, evaluation, and deployment. You'll earn to use Python and its data analytics ecosystem to implement the main techniques used in real-world projects.
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Bayesian inference uses probability distributions and Bayes' theorem to build flexible models.The book uses PyMC3 to abstract all the mathematical and computational details from this process allowing readers to solve a wide range of problems in data science.
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Python is the language of choice for millions of developers worldwide, due to its gentle learning curve as well as its vast applications in day-to-day programming. It serves the purpose of building great web services in the RESTful architecture. This second edition will show you the best tools you can use to build your own web services.
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If you want to develop complete Python web apps with Django, then this Learning Path is for you. You will walk through Python programming techniques, and them implement them for creating four professional Django projects, teaching you how to solve common problems and develop RESTful web services with Django and Python. You will learn how to build a
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Data mining, or parsing the data to extract useful insights, is a niche skill that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries and toolkits, and gives you the perfect platform to sift through your data and mine the insights you seek.
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Artificial Intelligence and Machine Learning Fundamentals teaches you machine learning and neural networks from the ground up using real-world examples. After you complete this book, you will be excited to revamp your current projects or build new intelligent networks.
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The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Py
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NLP in Python is among the most sought-after skills among data scientists. With code and relevant case studies, this book will show how you can use industry grade tools to implement NLP programs capable of learning from relevant data. We will explore many modern methods ranging from spaCy to word vectors that have reinvented NLP.
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This book covers how to use the image processing libraries in Python. It will enable you to write code snippets to implement complex image processing algorithms such as image enhancement, filtering, segmentation, object detection, and more. You will also be able to use machine learning and deep learning models and learn to implement them with ease.
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Using the hands-on recipes, you'll be able to apply your learning to practical research and analysis in computational biology with Python. You’ll understand modern, practical applications of bioinformatics using popular programming techniques and frameworks to deal with the ever-increasing deluge of bioinformatics data.
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As machine learning algorithms become popular, new tools that optimize these algorithms are also developed. Machine Learning Fundamentals explains the scikit-learn API, which is a package created to facilitate the process of building machine learning applications. By explaining the differences between supervised and unsupervised models and by apply
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Learn Programming in Python with Cody Jackson will take you through the basics of programming (and how Python implements those concepts) to write a complete, production-ready application. Each topic builds on the previous ones, so you'll learn how a complete application is built from the ground up, rather than just learning separate aspects of prog
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Learn Robotics Programming covers the basics of building a robot from scratch and implementing AI in the robots. You will be able to implement different sensors and control the robot based on those sensors’ output. This book will help you in constructing a robot with the combination of Python, Raspberry Pi and sensors such as distance sensor
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Mastering Matplotlib covers the use cases and encounter unusual cases that requires more powerful tools. With the easy to follow examples and high end components of matplotlib, this book will enable to develop advanced and interactive plots using Python scripting and Matplotlib
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QGIS 3.4 is a user-friendly open source geographic information system (GIS) that runs on Linux, Unix, Mac OS X, and Windows. The book will take you on a journey from firing up QGIS for the first time to developing your own processing pathway. We’ll look at the fundamentals of GIS: data creation, data display, creating maps and spatial analys
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Data structures help us to organize and align the data in a very efficient way. This book will surely help you to learn important and essential data structures through Python implementation for better understanding of the concepts.
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Apache Mesos is an open source cluster manager which provides efficient resource isolation and sharing across distributed applications. You will learn how Mesos works and then develop applications. You will learn to make full utilization of machines and simplify the maintenance of a data center with Mesos.
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Taking a project-based approach this book will help you leverage sensors, actuators, Python programming and Raspberry Pi 3 to build connected things. Each chapter is an independent project where you will learn from connecting devices to building complex IoT projects. You will be well versed in every possible way to make your projects stand out.
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Django is a framework designed to balance rapid web development with high performance. It handles high levels of user traffic and interaction, integrates with a variety of databases, and collects and processes data in real time. This book follows a task-based approach to guide you through developing with the Django 2.1 framework, starting with sett
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Flask is a popular Python framework known for its lightweight and modular design, so it’s easy to transform it to the web framework that you need with few extensions without weighing it down. This guide will take you on a complete tour of Flask environment and lead you to build production-ready application.
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This new edition includes all the topics that made Python 3 Object-Oriented Programming an instant Packt classic. It’s also packed with updated content to reflect recent changes in the core Python library and covers modern third-party packages that were not available on the Python 3 platform when the book was first published.
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Software Engineering includes “soft” skills. A developer requires awareness of how those skills, with their technical counterparts, mesh together through a project’s life-cycle. This book walks you through that discovery, showing at each step of the way through a multi-tier system’s development, how all those moving part
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Reactive programming is central to many concurrent systems but it’s famous for its steep learning curve that makes most developers feel like they're hitting a wall. With this book, you will get to grips with Reactive programming by steadily exploring various concepts.
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Nowadays, configuring a network and automating security protocols are quite difficult to implement. However, using Python makes it easy to automate this whole process. This book explains the process of using Python for building networks, detecting network errors, and performing different security protocols using Python Scripting.
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Python Data Science Essentials, Third Edition provides modern insight in setting up and performing data science operations effectively using the latest python tools and libraries. It builds faster governance on the most essential tasks such as data munging and pre-processing, along with all the techniques you require.
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Using a problem-solution-based approach, we'll show how you can automate all the boring stuff and let your computer do it for you instead of using the Python programming language. By the end of the book, you will have learned to identify problems and correct them to produce superior and reliable systems
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Julia is a new open-source programming language that is used in the field of data science computing. It was created to solve the dilemma between high-level slow code and fast (but low-level) code, and the necessity to use both to achieve high performance. This book covers all you need to know about Julia to leverage its high speed and efficiency.
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Getting started with data science can be overwhelming, even for experienced developers. In this two-part, hands-on book we’ll show you how to apply your existing understanding of the Python language to this new and exciting field that’s full of new opportunities (and high expectations)!
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Become a Python Data Analyst book introduces you to the mainstream libraries of Python’s Data Science stack. With proven examples and real-world datasets, this book teaches how to effectively perform data manipulation, visualize and analyze data patterns and brings you to the ladder of advanced topics like Predictive Analytics.
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This third edition of Learning OpenStack Networking is for OpenStack-based cloud operators and administrators who are new to Neutron networking and want to build their very own OpenStack cloud. Prior networking experience of working with physical servers and network infrastructures is recommended to follow the concepts demonstrated in this book.
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Python is an object-oriented, scripting language that is used in wide range of categories. In software engineering, a design pattern is a recommended solution to a software design problem. Although not new, design patterns remain one of the hottest topics in software engineering and they come as a ready reference for software developers to solve th
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The Python 3 Standard Library is a vast array of modules that you can use for developing various kinds of applications. It contains an exhaustive list of libraries, and this book will help you choose the best one to address specific programming problems in Python.
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Bitcoin is a cryptocurrency that’s changing the face of online payments. This book will help you understand everything related to Bitcoin architecture. By the end, you’ll be able to mine Bitcoins, accept Bitcoin payments, and work with the basics of Blockchain technology to create simple distributed ledgers.
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In this book, you will learn how to build interactive dashboards in a Jupyter notebook. Explore JupyterHub and various Jupyter widgets through which you can easily perform 3D data visualization, 3D plotting, and geospatial analytics. This book helps you understand BeakerX to create interactive tables and interact with spreadsheets.
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Network automation and programmability have led to revolutionary changes in the past few years. This practical guide will show you how to use Python to simplify your daily network tasks. You’ll learn how to use concise Python code snippets to manage and operate your networks, along with covering advanced networking concepts using Python.
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Python's built-in unittest module is showing it's age; hard to extend, debug and track what's going on. The pytest framework overcomes these problems and simplifies testing your Python software. Many users love to use pytest and the improvement in their testing shows! This book is the ideal introduction to pytest, teaching you how to write tests of
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Serverless applications are quite popular, not just because they save developers the trouble of managing servers, but also because they provide several other benefits such as cutting heavy costs and improving the overall performance of the application. This book will teach you the fundamentals of creating efficient serverless applications
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QT5 Python GUI Programming Cookbook will guide you from the very basics of creating a fully functional GUI application using PyQT with only a few lines of code. Each recipe adds more widgets to the GUIs we are creating. You will learn how easy it is to get started and you might be surprised how advanced you can become in just a short time of coding
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This book teaches you to leverage deep learning models in performing various NLP tasks along with showcasing the best practices in dealing with the NLP challenges. The book equips you with practical knowledge to implement deep learning in your linguistic applications using NLTk and Python's popular deep learning library, TensorFlow.
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Complexity science uses computation to explore the physical and social sciences. In Think Complexity, you’ll use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics.Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examp
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Discover how you can perform your own modern text analysis, to make predictions, create inferences, and gain insights about the data around you today. Learn how to harness the powerful Python ecosystem and tools such as spaCy and Gensim to perform natural language processing, and computational linguistics algorithms.
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This cookbook presents recipes on leveraging the power of Python and putting it to use in the Apache Spark ecosystem. By the end of this book, you will be able to solve any problem associated with building effective, data-intensive applications and performing machine learning and structured streaming using PySpark.
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In the coming years Python programming has developed massively in terms of automation. Enterprise automation with Python will teach you how simple Python programming can make your life easier with automating your infrastructure
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Reinforcement learning is a self-evolving type of machine learning that takes us closer to achieving true artificial intelligence. This easy-to-follow guide explains everything from scratch using rich examples written in Python.
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Mastering Numerical Computing with Python guides you in performing complex computing with cutting-edge coverage on advanced concepts such as exploratory data analysis and clustering algorithms. You'll become an expert in addressing matrix calculations, and write efficient NumPy codes for implementing algorithms with real-world examples.
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This book will walk you through the web application penetration testing methodology, showing you how to write your own tools with Python for every main activity in the process. It will show you how to test for security vulnerabilities in web applications just like security professionals and hackers do.
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Learning about robotics will become an essential skill as it will be a ubiquitous part of life. Even though robotics is a complex subject, several other tools along with Python can help you design a project to create an easy-to-use interface. The main aim of the book is to teach you how to build an autonomous mobile robot from scratch.
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Adding a layer of interactivity to your plots and converting these plots into applications hold immense value in the field of data science. The standard approach to adding interactivity would be to use paid software such as Tableau, but the Bokeh package in Python offers users a way to create both interactive and visually aesthetic plots for free.
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From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is throug
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Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. We'll fini
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Django is a powerful Python web framework designed to develop web applications quickly. If you want to learn about the entire process of developing professional web applications with Django, then this book is for you. This book will walk you through the creation of four professional Django projects, teaching you how to solve common problems and imp
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