Big data
Książki, ebooki, audiobooki, kursy video z kategorii: Big data dostępne w księgarni Ebookpoint
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This book teaches six specific steps needed to implement predictive analytics using R. It also teaches how team collaboration is critical and how it increases the chances of implementing a successful model. The book uses cases from healthcare, marketing, and government to build practical skills. Big Data is also covered, in this book, which will ex-
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134.10 zł
149.00 zł (-10%) -
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Pandas is a popular Python package used for practical, real world data analysis. It provides efficient fast, high-performance data structures that makes data exploration and analysis very easy. This learner's guide will help you through a comprehensive set of features provided by the pandas library to perform efficient data manipulation and analysi
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134.10 zł
149.00 zł (-10%) -
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Elasticsearch is a Lucene-based search and analytics engine for distributed search and analytics. This book will be your hands-on guide as you explore and put to use the features of Elasticsearch 5.x.
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134.10 zł
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As an increasing amount of data is generated each year, and the need to analyze and operationalize it is more important than ever. Companies that know what to do with their data have a competitive advantage over companies that don't. This drives a higher demand for knowledgeable and competent data professionals. By sequentially working through the
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125.10 zł
139.00 zł (-10%) -
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In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts
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160.65 zł
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Apache Spark has become the hottest platform and sought after skill set when it comes to the fields of Big Data, Analytics and Data Science. Apache Spark 2.x comes with series of new improvements in the areas of performance, scalability, operational and production readiness for structured processing of massive datasets. This book brings in a system
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134.10 zł
149.00 zł (-10%) -
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Data science and machine learning are some of the top buzzwords in the technical world today. A re-surging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This book is your entry point to machine learning. Through this book, you will learn to apply the concepts of mach
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134.10 zł
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The term 'Data Lake' has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights which can be used by businesses to redefine or transform the way they operate. Lambda architecture is also emerging as one of the very eminent patterns in the big data landscape, as it helps to d
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PostgreSQL is an open source database management tool used for handling large datasets (big data) and as a JSON document database. It also has applications in the software and web domains. This book will enable you to build better PostgreSQL applications and administer databases more efficiently.
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A practical and use case driven approach to Hadoop administration with coverage on a vast array of topics including Hadoop cluster installation, performance tuning, cluster planning, security, and much more. This book covers Hadoop from the perspective of running clusters in critical and large environments with complex data and at scale.
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Dive into the world of social media and learn the art and science behind leveraging the power of R and analytics to transform data into actionable insights. This book will provide you with strategies and hands-on approaches to tap into data from diverse social media platforms and showcase the power of leveraging analytics to get insightful informat
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Game engines such as Unity are the power-tools behind the games we know and love. Unity is one of the most widely-used and best-loved packages for game development and is used by everyone, from hobbyists to large studios, to create games and interactive experiences for the Web, desktop, mobile, and console. With Unity's intuitive, easy-to-learn too
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Want to get started with impressive interactive visualizations and implement them in your daily tasks? This book offers the perfect solution-D3.js. It has emerged as the most popular tool for data visualization. This book will teach you how to implement the features of the latest version of D3 while writing JavaScript using the newest tools and te
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As we become more capable of handling data in every kind, we are becoming more reliant on visual input and what we can do with those self-driving cars, face recognition, and even augmented reality applications and games. This is all powered by Computer Vision.This book will put you straight to work in creating powerful and unique computer vision ap
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125.10 zł
139.00 zł (-10%) -
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Starting with a quick recap of important machine learning concepts, the book will delve straight into deep learning principles using Sci-kit learn. Moving ahead, you will learn to use the latest open source libraries such as Theano, Keras, Google's TensorFlow, and H20. Use this guide to uncover the difficulties of pattern recognition, scaling data
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Spark ML is the machine learning module of Spark. It uses in-memory RDDs to process machine learning models faster for clustering, classification, and regression.
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Java is the most wide-spread programming language nowadays, and you fill find it everywhere, from small startup companies to large enterprises. It is also a common choice for developing Data Science applications thanks to Java's prevalence and rich data processing toolbox.This book will explain how to use Java for Data Science, overview the availab
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This is a project-based guide to teach you what Blockchain is, how it maintains data integrity, and how to create real-world Blockchain projects using Ethereum. With interesting real-world projects, you will know about bitcoin, generating smart and secure contracts with Ethereum, building end-to-end applications for Blockchain.
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The next step in the information age is to gain insights from the deluge of data coming our way. Data mining provides a way of finding these insights, and Python is one of the most popular languages for data mining because it provides both power and flexibility in analysis.
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Keras is a high-level neural network library written in Python that runs on top of either Theano or TensorFlow. With this book, you’ll learn the basics of Keras in a highly practical way and understand how this minimal, highly modular framework runs on both CPU and GPU, allowing you to put your ideas into action in the shortest possible time
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ArcGIS comes with a wide range of spatial analytical capabilities such as terrain analysis, interpolation, map algebra, neighborhood statistics, segmentation, classification and much more. This book uncovers such techniques with using real-world examples. With the help of step by step tutorials gain practical skills in geospatial data mining, visua
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Amazon has strongly evolved as a strong leader in the arenas of enterprise AI and machine learning. Through this book you'll learn how Amazon Machine learning services makes it easy for developers to implement machine learning models without the need of creating lengthy lines of code for ML algorithms. You will learn to leverage Amazon's Web Servi
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Apache Cassandra is second generation distributed NoSQL database and a popular choice for enterprises across the globe for it scalable and customizable features. This book offers you a steady learning path to understand its capabilities and develop skills to build highly reliable big data applications. This edition comes with examples to implement
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Machine learning is concerned with algorithms for transforming data into actionable intelligence and predictive analytics. Deep learning is a branch of machine learning based on multiple levels of representations. This book introduces the core concepts of deep learning using the latest version of TensorFlow to get implementation and research detail
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Machine learning is the field of Artificial Intelligence where we build systems that learn from data. Given the growing prominence of R—a cross-platform, zero-cost statistical programming environment—there has never been a better time to start applying machine learning to your data. This book will teach you advanced techniques in mach
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Machine learning is the new BLACK GOLD. In this book, we explore topics such as classification, clustering, model selection and regularization, nonlinearity, supervised, unsupervised, and reinforcement learning, structured prediction, neural networks, deep learning, and case studies. The algorithms are developed using R.The book is for students and
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Data analysis is the process of applying logical and analytical reasoning in order to study each data component. Python's powerful standard libraries or toolkits, such as Pylearn2 and Hebel, offer a fast, reliable, cross-platform environment for data analytics. This learning path will start with basic data analysis and you will then will gradually
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This book will guide you to enhance your database’s performance and give you insights into measuring and optimizing a PostgreSQL database to achieve better performance. You will be a able to perform various essential database tasks such as bench marking the database and optimizing the server’s memory usage. This book will also help yo
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Placing the reader in the position of a commercial data scientist, this book covers the key attributes to solve real-world problems in areas such as music, financial markets, and global news. Introducing advanced techniques in Spark, it also comprehensively explores the surrounding eco-system with innovative and scalable solutions throughout
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Java has been one of the most popular languages for developers for several decades and yet the potential of the Java ecosystem still remains untapped when it comes to using JVM-based languages and platforms to solve data science related problems. A variety of tools and libraries are available such as Spark, Hadoop, and Mahout for computation and li
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134.10 zł
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Apache Spark is one of the most popular Big Data processing frameworks today, delivering speed, accuracy and real-time results – all in one solution. With this book, you will delve into the world of Apache Spark and learn about the new features introduced in Spark 2, along with the architecture and the associated concepts. A comprehensive gu
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125.10 zł
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This book will show data analysis tasks, ranging from data retrieval, cleaning, manipulation, visualization, and storage to complex analysis and modeling using a variety of modules such as NumPy, SciPy, matplotlib, pandas, scikit-learn, and NLTK. You will be able to analyze different kinds of data including numeric, text, time-series, graph, and so
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This book covers applications of quantitative finance in R. It starts with the basics of quantitative finance and goes to complexity at the end of the book along with a varying degree of R complexity. This will guide you to implement different trading strategies for various financial instruments using basic to complex techniques along with its opti
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134.10 zł
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Create intelligent apps with vision, speech, language and knowledge capabilities using Microsoft Cognitive Services. Harness the power of all 21 APIs released as part of the platform, and discover how they can be combined to build real-word apps with cognitive capabilities. Learn how to easily add these features for smarter, more human-like applica
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125.10 zł
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Blockchain is a distributed database that enables permanent, transparent, and secure storage of data. Mastering Blockchain is a comprehensive guide to this leading, cutting-edge technology and its implementation in the real world.
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Bring data to life using D3.js, the hottest and most powerful web-based data visualization technology on the market today. This second edition cookbook features code samples, helpful illustrations, and over 65 practical recipes to learn from so you can create amazing data visualization with precision and professional efficiency.
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Uncover new approaches to big data visualization to make your analysis more effective and efficient with Big Data Visualization. Featuring in-depth coverage of big data analysis concepts together with industry-proven techniques, you?ll learn how to approach the challenge of big data visualization with confidence, ease and precision.
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This book will get you to grips with the Spark Python API. You’ll explore how Python can be used with Spark to build scalable and reliable data-intensive applications.
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This book will help you leverage Elasticsearch, guiding you through everything from writing and creating customized plugins to extend Elasticsearch to tackling challenges while handling relational data in Elasticsearch. You’ll learn with the help of practical examples in a step-by-step way.
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This book is designed to guide you through TensorFlow and how to use it effectively. You’ll be able to apply it for complex data computations, gain insights into your data, and more. Throughout the book, you’ll work through the recipes and get hands-on experience.
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This Hyper-V book is designed to help advanced-level administrators benefit fully from the new Windows Server. With over 80 hands-on recipes, the Hyper-V Cookbook gives you tips, tricks and best practices to deploy, maintain and upgrade your virtual machines.
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Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext.Featuring graphs and highlighted code examples throughout, the book features tests with Python’s Numpy, Pandas, Sci
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Harness the incredible power of Java-based approaches to data science and create new, innovative applications to explore, visualise and analyse big data. With its tutorial approach and step-by-step instructional style, Java for Data Science is the ultimate data science book for Java developers interested in Java-based data science solutions.
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This book will get you up to speed with text mining using R. You will explore essential techniques, along with understanding how to create text-processing apps with R.
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Explore how Python can be applied in scientific computing in Scientific Computing with Python 3. You’ll understand how to implement mathematics with Python, while covering key concepts, useful examples, and expert techniques.
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There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively—until now. This hands-on book teaches novices and experienced R users how to writ
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Machine learning has finally come of age. With H2O software, you can perform machine learning and data analysis using a simple open source framework that’s easy to use, has a wide range of OS and language support, and scales for big data. This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algo
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Discover a wide variety of independent recipes to harness the power of Tableau 10 for data analysis. This cookbook will help you develop the skills and confidence you need to draw valuable insights from your data and communicate effectively using compelling interactive charts, dashboards, and stories in Tableau.
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Tableau 10 Business Intelligence Cookbook. Create powerful, effective visualizations with Tableau 10
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For many organizations, Hadoop is the first step for dealing with massive amounts of data. The next step? Processing and analyzing datasets with the Apache Pig scripting platform. With Pig, you can batch-process data without having to create a full-fledged application, making it easy to experiment with new datasets.Updated with use cases and progra
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Learning R Programming will take you through the language in a step-by-step manner. From basic types and data structures to the challenges of programming in R, this book covers all this and more!
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This book gets you up to speed with data science using Python. You’ll cover everything from manipulating and exploring data for solving data science problems through to optimizing your machine learning models for optimal performance. The book helps you learn effectively with the help of expert tips and techniques.
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Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine
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- PDF + ePub + Mobi 134 pkt
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- PDF + ePub + Mobi 134 pkt
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Using the R programming language, you’ll be able to tackle big data challenges with the help of this book. The Big Data Analytics with R book guides you through the practical implementation of R, executing computational analyses on big data to extract meaningful results, and more in a hands-on way.
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- PDF + ePub + Mobi 152 pkt
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In this book, you’ll understand how to use MicroStrategy 10 to develop enterprise business intelligence solutions effectively. From exploring different visualization techniques to designing mobile dashboards and more, Mastering Business Intelligence with MicroStrategy is a detailed guide to get you up to speed.
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- PDF + ePub + Mobi 161 pkt
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- PDF + ePub + Mobi 125 pkt
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125.10 zł
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- PDF + ePub + Mobi 125 pkt
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125.10 zł
139.00 zł (-10%) -
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- PDF + ePub + Mobi 125 pkt
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125.10 zł
139.00 zł (-10%) -
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- PDF + ePub + Mobi 134 pkt
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134.10 zł
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If you want to attract and retain users in the booming mobile services market, you need a quick-loading app that won’t churn through their data plans. The key is to compress multimedia and other data into smaller files, but finding the right method is tricky. This witty book helps you understand how data compression algorithms work—in t
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- ePub + Mobi 118 pkt
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This book gets you up to speed with the important and fundamental concepts in statistical modeling and simulation. Using real-world case studies, you’ll be able to learn effectively and apply your skills later in the real world.
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- PDF + ePub + Mobi 134 pkt
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134.10 zł
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- PDF + ePub + Mobi 125 pkt
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125.10 zł
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- PDF + ePub + Mobi 134 pkt
(29,90 zł najniższa cena z 30 dni)
134.10 zł
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- PDF + ePub + Mobi 134 pkt
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134.10 zł
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- PDF + ePub + Mobi 296 pkt
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296.10 zł
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Explore various real-life scenarios where you can use machine learning. With the help of practical examples, this cookbook will help you to understand which algorithms to use in a given context.
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- PDF + ePub + Mobi 161 pkt
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- PDF + ePub + Mobi 296 pkt
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296.10 zł
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- PDF + ePub + Mobi 134 pkt
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- PDF + ePub + Mobi 152 pkt
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152.10 zł
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Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you’ll focus on particular analyses you can build, the data warehousing techn
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- ePub + Mobi 80 pkt
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- PDF + ePub + Mobi 98 pkt
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98.10 zł
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- PDF + ePub + Mobi 107 pkt
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107.10 zł
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- PDF + ePub + Mobi 98 pkt
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98.10 zł
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- PDF + ePub + Mobi 107 pkt
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107.10 zł
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- PDF + ePub + Mobi 152 pkt
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- PDF + ePub + Mobi 134 pkt
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- PDF + ePub + Mobi 152 pkt
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152.10 zł
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- PDF + ePub + Mobi 125 pkt
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With Learning QGIS, you can understand how to easily execute geoprocessing tasks. From developing visually appealing maps to creating, visualizing, and editing spatial data, you’ll be able to do all this and much more using QGIS.
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- PDF + ePub + Mobi 98 pkt
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98.10 zł
109.00 zł (-10%) -
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- PDF + ePub + Mobi 125 pkt
(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł (-10%) -
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- PDF + ePub + Mobi 152 pkt
(29,90 zł najniższa cena z 30 dni)
152.10 zł
169.00 zł (-10%) -
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- PDF + ePub + Mobi 125 pkt
(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł (-10%) -
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- PDF + ePub + Mobi 134 pkt
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134.10 zł
149.00 zł (-10%) -
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- PDF + ePub + Mobi 161 pkt
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161.10 zł
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- PDF + ePub + Mobi 107 pkt
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