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"Focusing on Python 3.6 and higher, Python Distilled focuses on an essential core of the language, with updated code examples to illuminate how Python works and how to structure programs that can be more easily explained, tested, and debugged. Throughout, David Beazley (author of Python Essential Reference) reflects all he's learned teaching Python to scientists, engineers, and developers, and pushing the envelope of what makes Python tick. Rather than trying to cover every possible feature and quirk of a 30-year language, this pragmatic guide provides a concise narrative related to fundamental programming topics such as data abstraction, control flow, program structure, functions, objects, and modules--topics that form the foundation for Python projects of any size"--

Programming

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Computer programming

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Cet ouvrage tout en couleur est un recueil de travaux pratiques pour apprendre à maîtriser Word, de sa prise en main à la mise en œuvre de ses fonctions avancées :Découverte de l'interface, création, modification et utilisation des styles, réalisation d'un album photo, d'une fiche-produit ... , recadrage et transformation d'une photo ... Ajout d'une page de garde, d'une table des matières, de notes de bas de page, d'en-têtes et de pieds-de-page, numérotation des pages...Impression d'enveloppes ou d'étiquettes, d'un bulletin ou d'un livret, utilisation d'une liste de contacts, partage d'un document ... En bonus sur www.dunod.com, réservés aux lecteurs de l'ouvrage :Huit travaux pratiques supplémentaires pour apprendre à améliorer l'esthétique d'un document, écrire une partition de musique, dessiner un organigramme, protéger un document et enregistrer un raccourci clavier.les fichiers du livre pour refaire, pas à pas, tous les exercices.Cette nouvelle édition 2022 renouvelle plusieurs TP.

Computer programming.

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Build decentralized applications with smart contract programming. Following the curriculum from an active blockchain course taught by the author at the McCombs School of Business at the University of Texas, this book fills the gaps for you from learning about basic cryptocurrency uses of blockchain to understanding smart contracts and dapps. You'll first start by understanding the basics of blockchain technology. Take a business point of view to discover general concepts about blockchains and dapps or "decentralized apps" built off of smart contracts. Next, learn about the token economy, how to design tokens, and relevant client technologies, such as web3, metamask, and UI/UX design. Then, install a blockchain node yourself. With a basic understanding of blockchain applications and business uses, you'll move further into hands-on development. There are ten modules for hands-on smart contract programming covered to build your own decentralized applications. Several team projects built end-to-end from concept to deployment to operation are also provided. Using these models and your own original work, you'll build a smart contract development environment, practice Solidity programming, compile source code, perform security reviews, and deploy bytecode to blockchains. The breakthrough in blockchain technology has empowered novel ecosystems and applications in the areas of Decentralized Finance (DeFi), Central Bank Digital Currency (CBDC), Non-Fungible Tokens (NFT), Decentralized Autonomous Organization (DAO), and more. Blockchain and Ethereum Smart Contract Solution Development will prepare you to create fantastic applications using Ethereum's smart contracts and solid concepts of decentralized programming!

Programming --- programmeertalen

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Este libro es una adaptación de una investigación presentada a la Universidad Nacional Hermilio Valdizán, cuyo objetivo fue demostrar la influencia del uso del software GeoGebra en el aprendizaje de funciones cuadráticas en los estudiantes de educación superior universitaria. Fue un estudio cuasi experimental con un grupo, cuantitativo, longitudinal y analítico con una población 54 estudiantes matriculados, a quienes se les aplicó cuestionarios previamente validados y confiables según juicio de un experto. El análisis inferencial fue mediante prueba paramétrica de T student para dos muestras emparejadas, previa prueba de normalidad Kolmogorov-Smirnov para p ± 0.05, apoyados en el programa SPSS Versión 23. Se comprobó el efecto positivo del Software GeoGebra en el aprendizaje conceptual, procedimental de las funciones reales en el grupo de estudio, comparando antes y después de su aplicación, donde se evidenció el aprendizaje mediante el análisis inferencial. Se concluyó que es positivo continuar con el uso de dicho software matemático en la enseñanza- aprendizaje de los cursos de matemática.

Quadratic programming.