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Start your reading journey today on DL4ALL.org and unlock a world of imagination, knowledge, and inspiration!  English | 2021 | ISBN: 111971849X | 707 pages | True PDF | 35.4 MB Master one of the most essential skillsetsfor thecontemporaryoffice  English | 2021 | ISBN: 0367704129 | 251 pages | pdf | 12.15 MB This book uses asymptotic methods to obtain simple approximate analytic solutions to various problems within mechanics, notably wave processes in heterogeneous materials.  English | 2021 | ISBN: 1119438888 | 1363 pages | True (PDF EPUB) | 544.59 MB Discover the latest edition of the cornerstone reference on periodontology and implant dentistry that combines scholarship and science with practical clinical instruction  English | 2020 | ISBN: 9789389898309 | 812 pages | EPUB | 1.66 MB A step-by-step guide that will teach you how to use Elasticsearch in your application effectively  English | 2020 | ISBN: 9791220250320 | 82 pages | PDF, EPUB | 0.84 MB The Complete Python Masterclass Made Easy, Even if You've Never Coded in Your Life!  English | 2021 | ASIN : B09FZDSH28 | 496 pages | PDF, AZW3, EPUB, MOBI | 156.79 MB What is Python? Python is a general-purpose programming language, which is easy to learn and dynamically initialised. It has an easy and elegant syntax, with high-level and dynamic semantics, which makes it an ideal language for beginners, scripting and rapid application development. Python was first released in 1991 and created by Guido van Rossum, a Dutch programmer best known as the author of the Python programming language, who wanted to designed a language very simple to write and easy to read. Thus, Python is much easier to learn than any other programming languages. And it helps you create beautiful applications, with less effort. But you're wondering: What features and benefits does Python offer? There are many features provided, so are the benefits of learning Python, especially as your first language... Let's start with the benefits of learning Python. Easy: Python is the best languages to get started with and the language preferred by beginners and pros alike. Its easy syntax and high-level features makes it one of the best languages, for anybody who wants to start programming. Free: Python is an open source language, which means that it is free for everyone to use. It can be freely modified and redistributed for any purpose, commercial or not. Application: Python can be used to develop almost anything, desktop mobile and web applications. Plus it is very useful in many areas: data analysis, artificial intelligence, machine learning and so forth. Library support: Python has a massive support base, thanks to the fact that it is open source and community developed.  English | 2021 | ISBN: 9781803230030 | 526 pages | EPUB | 6.12 MB Apply Kubernetes beyond the basics of Kubernetes clusters by implementing IAM using OIDC and Active Directory, Layer 4 load balancing using MetalLB, advanced service integration, security, auditing, and CI/CD  English | 2021 | ISBN: 9781393685227 | 169 pages | PDF, EPUB | 1.25 MB Are you one of those people who are obsessed with Italian culture, food, movies, or music? Have you always wanted to learn the Italian language but never had the time or motivation? Then keep reading...  English | 2022 | ISBN: 0367359715 | 282 pages | True EPUB | 6.56 MB Up to 70% and even more of corporate Analytics Efforts fail!!! Even after these corporations have made very large investments, in time, talent, and money, in developing what they thought were good data and analytics programs. Why? Because the executives and decision makers and the entire analytics team have not considered themost important aspectof making these analytics efforts successful. In this Book II of "It's All Analytics!" series, we describe two primary things: 1) What this "most important aspect" consists of, and 2) How to get this "most important aspect" at the center of the analytics effort and thus make your analytics program successful.  English | 2021 | ISBN: 3110745410 | 344 pages | pdf | 6.3 MB This book summarizes the main analytical and numerical results of Carleman estimates. In the analytical part, Carleman estimates for three main types of Partial Differential Equations (PDEs) are derived. In the numerical part, first numerical methods are proposed to solve ill-posed Cauchy problems for both linear and quasilinear PDEs. Next, various versions of the convexification method are developed for a number of Coefficient Inverse Problems. |
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