eBooks de Informática práctica, página 8 de 139

A Série Universitária foi desenvolvida pelo Senac São Paulo com o intuito de preparar profissionais para o mercado de trabalho. Os títulos abrangem diversas áreas, abordando desde conhecimentos teóri

A Série Universitária foi desenvolvida pelo Senac São Paulo com o intuito de preparar profissionais para o mercado de trabalho. Os títulos abrangem diversas áreas, abordando desde conhecimentos teóri

TikTok ofrece una variedad de oportunidades para que los creadores de contenido ganen dinero y construyan carreras exitosas en la plataforma. Desde el Programa de Socios de TikTok hasta colaboraciones con marcas, marketing de afiliacion y la venta de productos y servicios propios, hay multiples vias para monetizar tu presencia en TikTok. Sin embargo, el exito en TikTok no se logra de la noche a la mañana; requiere tiempo, esfuerzo y dedicacion para construir una audiencia comprometida y crear contenido de calidad que resuene con tus seguidores. Es importante mantener una mentalidad abierta, experimentar con diferentes estrategias y mantenerse al dia con las tendencias y cambios en la plataforma. Con perseverancia y creatividad, puedes aprovechar al maximo las oportunidades disponibles en TikTok y alcanzar tus objetivos de ganar dinero y crecer como creador de contenido."¿Quieres convertir tu pasion por TikTok en una fuente de ingresos solida y sostenible? ¡Entonces este libro es para ti! Descubre las estrategias probadas y los secretos detras del exito de los creadores de contenido mas influyentes en TikTok. Desde el Programa de Socios de TikTok hasta las colaboraciones con marcas y el marketing de afiliacion, este libro te guiara paso a paso para aprovechar al maximo las oportunidades de monetizacion en la plataforma. No pierdas mas tiempo, ¡es hora de transformar tu pasatiempo en una carrera rentable en TikTok! ¡Consigue tu copia ahora y comienza a ganar dinero haciendo lo que amas!"

Appaiono cosi. In maniera a volte discreta e altre volte piu prepotente. Ma sempre prima di qualsiasi contenuto, testuale o no, che ti appresti a leggere o a consultare.Sono i santoni del self-publishing, i "guru" del mestiere. O, almeno, cosi li chiamano. O si autodefiniscono. O amano essere chiamati dagli altri, con il ghigno beffardo e ignorantello che da sempre caratterizza il loro silenzio-assenso: li definiscono guru" e non fanno nulla per evitare di essere vissuti cosi dagli altri. Anzi, ci giocano al rilancio. Un rilancio di immagine e, purtroppo, solo di questo.

Data entry involves the process of inputting, updating, or managing data in various forms, such as text, numbers, or images, into a computer system or database. Its crucial for maintaining accurate records and facilitating efficient data management. Data entry tasks can range from simple manual entry to more complex processes involving verification and validation of data. Accuracy and attention to detail are essential in this field to ensure the integrity of the information being entered.

Lobiettivo del presente libro e quello di mostrare il potere acquisito dai media e il divario che interessa e divide le nuove generazioni e quelle vecchie. Questultime in particolare, non sempre hanno lopportunita di maturare il processo di alfabetizzazione, esclusi e impossibilitati dal compito di accompagnare e guidare i giovani nelluso consapevole e responsabile dei media, compito che spetta alle figure genitoriali e agli educatori. Inoltre lo stesso testo si propone lobiettivo di evidenziare limportanza sempre piu crescente del fenomeno della digitalizzazione nellambito del contesto sociale e, in particolar modo in riferimento allambito scolastico.

This e-book is an interactive e-book this means that the user can enter datas in the pages and content of these will conform to the new values.To enter these datas, in the pages of the e-book, have been implemented controls similar to those that can be found on the Internet pages and also an executing button to impart the command to adapt the content of the page to the new values.The subject of the e-book is the Compose HTML5 Canvas, that for its characteristics well suits to be documented with this method.The tag canvas is one of the novelties of HTML5,it is a container that can be used to draw and to work with graphic elements.Formally canvas is a HTML container defined by the usual opening and closing tags.The reasons for which it is useful to use canvas are numerous:- Interactivity:Canvas interacts with users- Animation:Each drawing can be animated, from the bouncy balls to games, till the kinematics- Flexibility: To Create Lines, complex shapes, texts, images, including audio/video- Standard Web: Free and gratuitous use of Open technology, valid throughout the world- Browser:Canvas is supported by all major browsers for desktop and mobile devices- Popularity:wide availability of resources, libraries and tools in support of the DevelopersCanvas can be used for:- Creating games in 2D and 3D- Excellent substitute of Flash for banners and ads- generation of eye-catching graphics both static as well as interactive- with images and audio/video to produce effective experiences of learning- Art and decoration with colors, nuances, transparencies and shadowsTo exhibit its potential, the canvas, requires a language support such as JavaScript, and it is this language that also gives interactivity to the pages of this e-book.This guide explores the All Controls javascript for canvas by providing the essential knowledge to the use of each of them.For each command are showed one or more interactive examples.This e-book, thanks to the interactivity will allow to a better appreciation of the real potentiality of the various controls and the interaction among them.In order to be able to consult this e-book is necessary an epub reader3 of last generation (autumn 2016).Due to scarce availability, (autumn 2016) of e-book evolved readers capable of supporting the full interactivity, we give here below non-exhaustive list of advanced readers for various operating systems.- Windows:Macintosh and Linux: AZARDI Infogrid Pacific- Android:bookari (premium version)- iPad:Ebook Reader- Chrome browser:readium (extension)Of course other readers may be able to support the reading of interactive3 ePub

Auf dem Raspberry Pi 2 läuft neben anderem auch Xubuntu, Lubuntu, Kubuntu und andere Derivate. In diesem ebook zeigt der Autor, wie Xubuntu (Lubuntu, Kubuntu) auf dem Raspberry Pi 2 installiert und e

Uno scrittore entra nel, per lui sconosciuto, mondo delle comunità e delle chat e vi fa le numerose, strane ed istruttive esperienze che racconta in questo libro.

Website development involves creating and maintaining websites. It encompasses various aspects such as web design, web programming, and database management. Web developers use languages like HTML, CSS, and JavaScript to build the structure, style, and interactivity of websites. Additionally, they may work with server-side scripting languages like PHP, Python, or Ruby to handle dynamic content and databases. Understanding user experience (UX) and search engine optimization (SEO) are also crucial for creating successful websites.

To effectively defend against the threats, cybersecurity professionals employ a variety of strategies and technologies. This includes implementing robust firewalls and intrusion detection systems to monitor and control network traffic, deploying antivirus software to detect and remove malicious software, using encryption to secure sensitive data both in transit and at rest, and implementing strong authentication mechanisms such as multi-factor authentication to prevent unauthorized access.Additionally, cybersecurity involves ongoing monitoring and analysis of network activity to detect and respond to potential threats in real-time. This may involve the use of security information and event management (SIEM) systems, which aggregate and analyze data from various sources to identify suspicious behavior and security incidents.Furthermore, cybersecurity professionals often engage in vulnerability assessments and penetration testing to identify weaknesses in systems and networks before they can be exploited by attackers. This proactive approach helps organizations strengthen their defenses and reduce the risk of successful cyber attacks.

The Basic SEO Strategy Handbook - A Tactical Guide is a beginner-friendly guide that demystifies SEO and provides actionable strategies to improve website visibility. The book starts by addressing the common misconceptions about SEO, emphasizing that its not just about keywords and rankings but about creating valuable content that aligns with search engine algorithms and user intent.The author shares personal experiences, highlighting how SEO transformed their approach to digital marketing. They explain that SEO is a continuous process, requiring patience, adaptability, and a clear strategy. The book presents SEO as a roadmap that helps websites get discovered, making it essential for businesses, bloggers, and anyone looking to grow their online presence.One of the core topics covered is keyword research, which is described as the foundation of SEO success. The author shares early struggles with keyword optimization, explaining how understanding search intent and audience behavior is crucial for ranking. The book provides practical steps for identifying high-value keywords and integrating them into content effectively.Overall, The Basic SEO Strategy Handbook - A Tactical Guide serves as an accessible and engaging introduction to SEO, breaking down complex concepts into easy-to-follow steps. It aims to equip readers with the knowledge to implement SEO strategies that drive long-term success.

180 pagine, oltre 230K battute, 23 attivita organizzate, 15 schede, 12 casi di studio analizzati, 4 moduli step by step, il metodo in 6 passaggi, numerose griglie e riquadri, 44 immagini.Questo libro insegna il metodo per la padronanza didattica con storytelling e Intelligenza artificiale ideato da Alberto Pian. Lo scopo del metodo e di aiutare i docenti e i formatori a insegnare e apprendere con tecniche di storytelling utilizzando lIntelligenza Artificiale. Il libro affronta i diversi modelli di IA e LLM fornendo informazioni indispensabili per orientarsi in questo campo. Insegna come affrontare i problemi generati dalla IA in materia di appiattimento culturale, pregiudizi e stereotipi, fornendo esempi e attivita articolate e commentate. Illustra il metodo nei suoi step, mostrando come applicarlo concretamente e quali risultati si possono ottenere e propone dei modelli di impiego specifici. Il libro affronta la IA e le tecnologie di apprendimento in chiave critica, basandosi sulle pedagogie piu idonee individuate, fra le altre, nel corpo delle tecniche del Mastery Learning, oggi di grande attualita. Il docente e il formatore troveranno in questo libro numerosi dettagli sullapproccio pedagogico e didattico con la IA. La lettura di questo libro e certamente impegnativa e richiede attenzione, infatti i contenuti affrontati, benche esposti in modo chiaro e semplice, non sono banali.

This book aims to be one of resources for people who want to go deep into and get more knowledge in term of LibreOffice Writer. It titled Getting Closer With LibreOffice Writer which we dedicate for All Indonesian people and all human race.LibreOffice is a free software as office software (office suite) which developed from OpenOffice.org by The Document Foundation organization and available for GNU/Linux, Windows, and Mac.As an office software, LibreOffice has word processor, spreadsheet, and presentation programs by the name of Writer, Calc, and Impress. The native document format of the three programs is ODT, ODS, and ODP respectively. By default, LibreOffice supports ISO standard document format, that is OpenDocument Format (ODF) as a standard (and also supports Microsoft OOXML document formats).When mentioning about functionality, LibreOffice is equal to Microsoft Office software (which are only available for Windows and Mac). LibreOffice is the most popular office software which becomes built-in program in many GNU/Linux distributions. The official website of The Document Foundation is https://www.documentfoundation.org and the official website of LibreOffice is http://libreoffice.org.

I computer odierni sono così tanto intelligenti da essere più bravi di noi in una partita a scacchi o nel giocare ad un videogame. Ma essi sanno di essere così intelligenti? Hanno coscienza di sé e d

SAGGIO TECNOLOGIA - Il mondo digitale sta cambiando e nel farlo cambia anche noi. Stiamo rischiando di essere imprigionati allinterno di una bolla piena di filtri idee della realta lontane dai fatti reali e dai bisogni. Per evitare di esservi richiusi per sempre e necessario riflettere su temi quali la privacy, la cittadinanza, la relazione sociale, la democrazia, la ricerca di benessere e felicita personali, ecc.Le nostre idee sulla realta sono solo illusioni. Le costruiamo nel tempo quotidianamente, quasi senza accorgercene. A esse tendiamo ad asservire i fatti, adattandoli allidea della realta che ci siamo costruiti fino a convincerci che di realta ne esista una sola. Un grande errore di cui ci rendiamo conto ogni qualvolta ci scontriamo con la poliedricita della realta, con il fatto che di realta ne esistono molte e con la loro contraddittorieta. Un errore che e oggi alimentato, quasi scientificamente, dalla nuove tecnologie che pretendono di riempire le nostre vite fornendoci strumenti di interpretazione della realta a cui viene chiesta piena fiducia e sottomissione. Ma la realta non si presta a essere semplificata, la tecnologia non e neutrale, lo schermo del nostro tablet non e che uno specchio riflettente e non puo diventare la porta verso la verita e il mondo digitale non e uno dei tanti mondi virtuali (in potenza) e paralleli che frequentiamo. I testi qui raccolti offrono alcune riflessioni utili alla conoscenza di fenomeni spesso sottovalutati e suggeriscono la necessita di elaborare una nuova presa di coscienza sulluso della tecnologia, finalizzata alla produzione di maggiore informazione e conoscenza. Il mondo digitale sta cambiando e nel farlo cambia anche noi. Stiamo rischiando di essere imprigionati allinterno di una bolla piena di filtri idee della realta lontane dai fatti reali e dai bisogni. Per evitare di esservi richiusi per sempre e necessario riflettere su temi quali la privacy, la cittadinanza, la relazione sociale, la democrazia, la ricerca di benessere e felicita personali ecc. Quanto segue e un piccolo contributo in questa direzione. Carlo Mazzucchelli, laureato in filosofia, e un ex-dirigente dAzienda e Consulente in scienze della comunicazione, marketing e management delle organizzazioni. Ha operato in aziende multinazionali in progetti corporate volti a sostenere processi globali e locali di cambiamento dellazienda. Specializzato in programmi marketing finalizzati ad incrementare lefficacia dellattivita commerciale, il valore del capitale relazionale dellazienda e la fidelizzazione della clientela attraverso lutilizzo di tecnologie allavanguardia e approcci innovativi. Formatore in aziende multinazionali, oratore in meeting, seminari e convegni. È esperto di Internet e di ambienti collaborativi in rete, abile networker, costruttore e gestore di comunita professionali e tematiche online. Impegnato socialmente e politicamente per contribuire da cittadino alla crescita culturale e sociale dellItalia.

Deep learning is no longer the future its the engine powering the world around us. From machines that understand speech and text, to systems that recognize faces, generate art, predict outcomes, and automate decision-making, deep learning is the core of the modern intelligence revolution. Yet for many, the subject still feels complex, intimidating, and out of reach. Deep Learning Demystified: Techniques and Applications changes that. This book strips away the confusion and delivers deep learning in a way that is clear, engaging, structured, and actionable. Built for curious beginners, ambitious developers, data professionals, and future AI builders, this guide breaks down neural networks, algorithms, and architectures with practical clarity while never losing sight of real-world usability. Through logical progression and thoughtful explanation, youll learn how deep learning works at a fundamental level starting with perceptrons, neurons, loss functions, activation layers, and model learning dynamics. Youll explore major modern architectures including convolutional networks for image understanding, recurrent models for sequential learning, attention-driven transformers for advanced intelligence, and generative systems that create entirely new data from scratch. But this is more than theory. You will discover how models actually learn, how theyre trained efficiently, how to overcome common pitfalls like overfitting, and how techniques like regularization, transfer learning, and optimized training improve performance in measurable ways. Youll understand deep learning applications in computer vision, natural language processing, generative creation, prediction models, automation pipelines, and decision-based intelligence. The book also covers the realities of deploying models outside the lab, walking you through deployment considerations, scalability, performance challenges, and real-world constraints that every practitioner faces. Youll learn what it takes to move from experimentation to production, how to manage model behavior, and how decision systems interact with industries, users, and feedback loops. Most importantly, this book addresses the responsibility that comes with building intelligent systems. Ethical considerations are woven throughout highlighting bias, transparency, accountability, explainability, and the societal impact of AI-driven automation. Youll learn not only how to build powerful models, but how to build them thoughtfully, responsibly, and with long-term trust in mind. Whether your goal is to understand how machines learn, build smarter models, enter the world of AI engineering, or simply decode one of the most important technologies of our time, this book is your straight-to-the-point, future-ready roadmap. No intimidation. No gatekeeping. No unnecessary complexity. Just real understanding, real application, and real potential. The age of deep learning is here. Now it makes sense.

Machine learning has moved out of research labs and into the real world. It now powers medical breakthroughs, business intelligence, automation, language translation, predictive analytics, robotics, smart decision, making, and the invisible backbone of everyday technology. Yet, for most people, machine learning still feels complicated, intimidating, or reserved for those with advanced degrees. Machine Learning Mastery: From Theory to Practice changes that. This book is built for curious beginners, emerging practitioners, and professionals ready to move beyond surface, level definitions. It strips out confusion, without stripping out intelligence. It gives you clarity without dumbing anything down. Most importantly, it gives you practical understanding, not theory in isolation. Youll start by learning what machine learning really is, how it learns, and why it works, before moving into the core foundations that power every model. Concepts like linear algebra, probability, and optimization are explained in plain language so you grasp how machines make decisions without feeling buried in equations. Once the foundation is set, youll explore the major learning approaches supervised learning, unsupervised learning, and reinforcement learning so you understand when and why each method is used in the real world. Raw data doesnt solve problems. The right data does. Thats why youll learn how to transform messy information into meaningful input through feature engineering, one of the most valuable and overlooked skills in machine learning. Youll also learn how to evaluate models intelligently, avoid performance traps like overfitting and underfitting, and optimize models through hyperparameter tuning with purpose, not guesswork. As you progress, youll move into the architectures that have transformed the world, including neural networks and deep learning, opening the door to systems that can understand text, interpret language, analyze images, detect patterns, and make decisions with increasing autonomy. Youll explore natural language processing to see how machines interpret human communication and computer vision to understand how systems learn from images and visual data. But models dont matter if they never leave your computer. Thats why this book takes you into deployment and scaling, where machine learning moves from experiment to real, world application. Youll discover the practical considerations of taking a model into production, making it reliable, efficient, scalable, and usable. Youll also explore ethics and interpretability, because understanding how a model thinks is just as important as ensuring it performs well. Responsible machine learning isnt optional, its the future. Finally, youll put it all together in a real, end, to, end machine learning project, walking through the full journey from dataset selection to deployment. No gaps. No guesswork. No missing steps. If you want to understand machine learning instead of memorizing it, build models instead of just reading about them, and apply artificial intelligence in ways that make sense and make impact, this book is your roadmap. This is the bridge between theory and practice. This is the guide that makes machine learning real. This is mastery in motion.

Artificial Intelligence is no longer a futuristic fantasy. Its transforming how we live, how we work, how we create, and how we think. Yet for many people, AI still feels complicated, mysterious, or even intimidating. AI Fundamentals: Understanding the Basics changes that. This book was built for readers who want clarity, confidence, and real comprehension without wading through overwhelming jargon or technical confusion. Whether youre an absolute beginner, a curious student, an aspiring developer, a business thinker, or simply someone who wants to understand the most important technology of our time, this book breaks AI down into a clean, structured, easy-to-grasp roadmap. No complexity for complexitys sake, no gatekeeping, no confusing theory loops. Just real understanding. Youll start by exploring what artificial intelligence actually is, how it works, and what makes it different from traditional software. Then youll untangle the most commonly misunderstood concepts, including the difference between machine learning and deep learning, how neural networks function, and why data is at the heart of every intelligent system. Youll discover the logic behind supervised, unsupervised, and reinforcement learning, seeing how machines learn, make decisions, and improve over time. From there, the book takes you into the fascinating mechanics behind AIs biggest capabilities. Learn how natural language processing allows machines to understand and communicate in human language, and how computer vision helps systems interpret the visual world. Youll explore the purpose behind algorithms and AI models, revealing the structures that power everything from recommendations to automation. Big data, training, testing, pattern recognition, model accuracy, scalability, and real-world deployment are all explained in ways that finally make sense. Because AI doesnt exist in a vacuum, this book also dives into the important human questions. What are the ethical considerations behind AI? How does bias make its way into intelligent systems, and how can it be recognized and addressed? Where are the real limits of the technology today? What can AI not do, and why? These questions matter, and theyre unpacked honestly and thoughtfully. Youll also see how AI is already woven into everyday life from mobile devices and digital assistants to smart environments, automation, personalization, and predictive tools. Most importantly, this book doesnt just explain AI, it empowers you to start using it. The final section walks you through the mindset, tools, and approach needed to begin your first AI project, giving you the confidence to transition from understanding AI to building with it. AI is not just for engineers or data scientists anymore. It belongs to anyone who wants to understand the rules shaping tomorrow. When you finish reading, you wont just know about artificial intelligence. Youll understand it. Youll think in AI logic. Youll speak in AI fundamentals. Youll be ready for an AI-driven world. The future is intelligent. This is your starting point.

Artificial intelligence is no longer a distant concept. It is here, shaping decisions, influencing behavior, driving economies, and redefining what it means to be human in a digital age. But while AI is learning, adapting, calculating, predicting, and even creating, one question rises above the rest: Is it doing so ethically? Ethical Considerations in AI is a thought provoking, human centered exploration of the moral challenges, hidden risks, and profound responsibilities that come with intelligent machines. This book does not just ask what AI can do, but what it should do, and more importantly, what humans must do to guide it wisely. Every technological leap is also a moral crossroads. In these pages, you will explore whether machines can truly make ethical decisions, how human bias becomes digital bias, and who takes accountability when automated systems fail. You will dive into the growing tensions between safety and surveillance, personalization and privacy, innovation and exploitation. Most importantly, you will uncover the ethical dilemmas that society has not yet solved, but must urgently face. From healthcare predictions to hiring algorithms, autonomous weapons to synthetic media, AI is rewriting the rules faster than legislation, culture, or governance can keep up. This book brings clarity to the confusion, breaking down complex issues into meaningful insights for professionals, students, innovators, policymakers, and everyday readers who want to understand not just the power of AI, but its impact. Inside, you will confront crucial questions such as: Can machines be moral, or are they only mirrors of human intent? How do algorithms inherit prejudice, and who pays the price? What rights should individuals have in a world driven by data prediction? How do we protect children, truth, autonomy, and democracy in the age of digital fabrication? Who carries responsibility when AI harms instead of helps? Can technological progress and environmental sustainability coexist? How can nations collaborate to ensure AI benefits humanity, not disrupts it? With urgency and optimism, this book balances caution with possibility. It does not reject innovation, it demands accountability. It does not resist progress, it advocates responsibility. It does not fear the future, it works to protect it. Written for curious minds and critical thinkers, Ethical Considerations in AI provides: Accessible explanations of complex ethical and technical issues Real world consequences of unchecked AI development Balanced perspectives on automation, employment, governance, and security Conversations around fairness, representation, transparency, and human dignity Insight into designing ethical systems before harm occurs A roadmap for creating a future where AI elevates humanity rather than undermines it AI is not just a technological shift. It is a societal transformation, a philosophical debate, and a moral responsibility. The question is no longer whether AI will change the world, but how wisely we guide it when it does. This book invites you to think deeply, question boldly, and participate in one of the most defining discussions of our time.