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Audiobooki
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Nauki przyrodnicze
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Nauki społeczne
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Popularnonaukowe i akademickie
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Poradniki
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Poradniki zawodowe i specjalistyczne
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Prawo
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Przewodniki i podróże
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Psychologia
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Religia
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Sport, fitness, diety
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Technika i mechanika
Kursy video
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Bazy danych
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Big Data
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Biznes, ekonomia i marketing
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Cyberbezpieczeństwo
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Data Science
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DevOps
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Dla dzieci
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Elektronika
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Grafika/Wideo/CAX
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Gry
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Microsoft Office
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Narzędzia programistyczne
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Programowanie
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Rozwój osobisty
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Sieci komputerowe
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Systemy operacyjne
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Testowanie oprogramowania
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Urządzenia mobilne
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UX/UI
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Web development
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Zarządzanie
Podcasty
Lance Phillips, Stefania Marangoni
Micro content dominates social media marketing, but subpar editing and low-quality videos can shrink your audience. Elevate your social media game with DaVinci Resolve - the world’s most trusted name in color grading that has been used to grade Hollywood films, TV shows, and commercials. Version 18 enables you to edit, compose VFX, mix sound, and deliver videos for different platforms, including social media and the web.You’ll learn the basics of using DaVinci Resolve 18 to create video content, by first gaining an overview of creating a complete short video for social media distribution directly from within the “Cut” page. You’ll discover advanced editing, VFX composition, color grading, and sound editing techniques to enhance your content and fix common video content issues that occur while using consumer cameras or mobile phones.By the end of this book, you’ll be well-equipped to use DaVinci Resolve to edit, fix, finish, and publish short-form video content directly to social media sites such as YouTube, Twitter, and Vimeo.
Since the advent of object-oriented programming, new technologies related to Big Data are constantly popping up on the market. One such technology is Scala, which is considered to be a successor to Java in the area of Big Data by many, like Java was to C/C++ in the area of distributed programing. This book aims to take your knowledge to next level and help you impart that knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. We will then explore working with Spark and MLlib using k-means and decision trees. Most of the data that we produce today is unstructured and raw, and you will learn to tackle this type of data with advanced topics such as regression, classification, integration, and working with graph algorithms. Finally, you will discover at how to use Scala to perform complex concept analysis, to monitor model performance, and to build a model repository. By the end of this book, you will have gained expertise in performing Scala machine learning and will be able to build complex machine learning projects using Scala.
Rohan Chopra, Aaron England, Mohamed Noordeen Alaudeen
Data Science with Python begins by introducing you to data science and teaches you to install the packages you need to create a data science coding environment. You will learn three major techniques in machine learning: unsupervised learning, supervised learning, and reinforcement learning. You will also explore basic classification and regression techniques, such as support vector machines, decision trees, and logistic regression.As you make your way through the book, you will understand the basic functions, data structures, and syntax of the Python language that are used to handle large datasets with ease. You will learn about NumPy and pandas libraries for matrix calculations and data manipulation, discover how to use Matplotlib to create highly customizable visualizations, and apply the boosting algorithm XGBoost to make predictions. In the concluding chapters, you will explore convolutional neural networks (CNNs), deep learning algorithms used to predict what is in an image. You will also understand how to feed human sentences to a neural network, make the model process contextual information, and create human language processing systems to predict the outcome.By the end of this book, you will be able to understand and implement any new data science algorithm and have the confidence to experiment with tools or libraries other than those covered in the book.
Begin your journey with an introduction to Python and algorithms, laying the groundwork for more complex topics. You will start with the basics of Python programming, ensuring a solid foundation before diving into more advanced and sophisticated concepts. As you progress, you'll explore elementary data containers, gaining an understanding of their role in algorithm development.Midway through the course, you’ll delve into the art of sorting and searching, mastering techniques that are crucial for efficient data handling. You will then venture into hierarchical data structures, such as trees and graphs, which are essential for understanding complex data relationships. By mastering algorithmic techniques, you’ll learn how to implement solutions for a variety of computational challenges.The latter part of the course focuses on advanced topics, including network algorithms, string and pattern deciphering, and advanced computational problems. You'll apply your knowledge through practical case studies and optimizations, bridging the gap between theoretical concepts and real-world applications. This comprehensive approach ensures you are well-prepared to handle any programming challenge with confidence.
Like computing, 3D printing has been around for decades but it was expensive and was only used for making complex prototypes. Now, prices have dropped and third-party printing services such as Shapeways have become available, making the technology available to everyone.Blender is an open source modeling and animation program popular in the 3D printing community. 3D printing demands more of a modeler than animation or virtual reality. The model maker must engineer their model to work in the real world. They must keep in mind the particular needs of the materials and printers that they are planning to use to print their model. This practical guide gives Blender users all the information they need to design high-quality 3D printed objects. With a solid exploration of the 3D modeling process, design considerations for 3D printing, plus step-by-step exercises, you will soon be comfortable making 3D objects for real-world enjoyment. Starting with an overview of 3D printing, this guide moves onto to precision measurement, fixing problems in a 3D model, and how to make it light and strong enough for real-world use.You will learn how to scale, build, and detail a model for a 3D printer. You will learn to color and decorate it, as well as making parts precisely in the size you want them, so that multi-part objects fit together smoothly. You will also learn tips on saving money when you have printed your model.With the help of this guide, you will be able to complete your project and learn how to export the file so it is ready for a variety of 3D printers.
Google has been one of the top players in the public cloud domain thanks to its agility and performance capabilities. This book will help you design, develop, and manage robust, secure, and dynamic solutions to successfully meet your business needs.You'll learn how to plan and design network, compute, storage, and big data systems that incorporate security and compliance from the ground up. The chapters will cover simple to complex use cases for devising solutions to business problems, before focusing on how to leverage Google Cloud's Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) capabilities for designing modern no-operations platforms. Throughout this book, you'll discover how to design for scalability, resiliency, and high availability. Later, you'll find out how to use Google Cloud to design modern applications using microservices architecture, automation, and Infrastructure-as-Code (IaC) practices. The concluding chapters then demonstrate how to apply machine learning and artificial intelligence (AI) to derive insights from your data. Finally, you will discover best practices for operating and monitoring your cloud solutions, as well as performing troubleshooting and quality assurance.By the end of this Google Cloud book, you'll be able to design robust enterprise-grade solutions using Google Cloud Platform.
Mastering IPython 4.0. Complete guide to interactive and parallel computing using IPython 4.0
IPython is an interactive computational environment in which you can combine code execution, rich text, mathematics, plots, and rich media.This book will get IPython developers up to date with the latest advancements in IPython and dive deep into interactive computing with IPython. This an advanced guide on interactive and parallel computing with IPython will explore advanced visualizations and high-performance computing with IPython in detail. You will quickly brush up your knowledge of IPython kernels and wrapper kernels, then we'?ll move to advanced concepts such as testing, Sphinx, JS events, interactive work, and the ZMQ cluster. The book will cover topics such as IPython Console Lexer, advanced configuration, and third-party tools.By the end of this book, you will be able to use IPython for interactive and parallel computing in a high-performance computing environment.
Microsoft XNA attempts to free game developers from writing repetitive boilerplate code, allowing them to focus on producing enjoyable gameplay rather than tedious and complicated setup. The Framework has reduced the once steep learning curve for game development, transforming it into something more attainable, and this cookbook will help you to take full advantage of XNA to bring reality into your virtual worlds.Microsoft XNA 4.0 Game Development Cookbook is the perfect resource for propelling your game development capabilities from the simple 2D demo towards engaging and exciting, professional looking games. With a diverse selection of game-related topics covered, discover how to create rich 2D and 3D worlds filled with interesting characters, detailed scenery and dynamic special effects applicable to PC, Xbox 360, and Windows Phone 7 game play.There is no shortage of introductory texts available for XNA, a number of which are fantastic for getting started with simple 2D games, but Microsoft XNA 4.0 Game Development Cookbookù will help you take the steps to start producing games that have deeper gameplay, compelling graphics and that little bit of extra polish! The book's recipes will get you up and going quickly with the next level of game features such as 3D graphics, AI, and network play.With this practical cookbook to hand, even the more experienced developer will be better equipped to achieve high level tasks with XNA in a quick and efficient manner.