Otros libros que te pueden interesar

• 

  Product Management for Beginners...

  Daniel Green

  • 0
  • 0
  • 0

  Dive into the core concepts of Product Management, unraveling the role's evolution and understanding the key responsibilities that define success. Learn to navigate the product lifecycle, from concept to launch, discovering the importance of iteration, feedback, and continuous improvement. 
  Explore the art of market research and customer understanding, unlocking the secrets to building products that resonate with your audience. Craft a compelling product vision and strategy, aligning your goals with company objectives and setting the course for success. 
  Navigate the complexities of roadmapping and prioritization, striking a balance between short-term and long-term goals. Foster collaboration within cross-functional teams, and discover effective communication strategies that empower you to lead without authority. 
  Embrace Agile and Scrum methodologies, adapting to change, and delivering value through iterative development. Dive into the world of metrics and analytics, making data-driven decisions to measure success and guide your product's evolution. 
  With insights into product launch and go-to-market strategies, you'll learn how to bring your creations to the world, ensuring successful market penetration and sustained growth. The journey doesn't end there – discover the importance of continuous learning, networking, and professional growth to become a lifelong, successful Product Manager. 
  "Product Management" is not just a book; it's your roadmap to becoming a proficient and innovative Product Manager. Whether you're a recent graduate or a seasoned professional seeking a career shift, this guide provides the knowledge and tools to set you on the path to building products that captivate the market. Your journey into the world of Product Management starts here! 
   

  Ver libro

• 

  Programming with GitHub Copilot...

  Kurt Dowswell

  • 0
  • 0
  • 0

  In Programming with GitHub Copilot: Write Better Code—Faster, veteran software developer and GitHub community hero Kurt Dowswell delivers an insightful and hands-on exploration of GitHub's powerful, new AI coding assistant, Copilot. In the book, you'll discover how to use the tool's capabilities to push the boundaries of what you thought was possible in programming. 
   
   
   
  Even if you've used autocomplete tools—like VS Code's TabNine extension—before, you'll be floored by GitHub Copilot's potential to transform the way you code. You'll learn how to install, configure, and use the software, from employing it's most common and widely used features to deploying business and enterprise functionality. You'll even discover how to fix runtime and compilation bugs and write unit, integration, and end-to-end tests. 
   
   
   
  You'll also find: 
   
   
   
  ● Prompt strategies to get GitHub Copilot to help you brainstorm new code solutions 
   
   
   
  ● What the future looks like for AI-assisted coding, including discussions of issues like code licensing and ethics 
   
   
   
  ● Directions for chatting with Copilot, including common commands and prompts to help you guide the conversation to where you want it to go

  Ver libro

• 

  Colitis Ulcerosa – The Self-Help...

  Maria Baumfink

  • 0
  • 0
  • 0

  Colitis Ulcerosa – those affected know exactly what this term brings to mind: pain, diarrhea, discomfort, sometimes even fever, and much more. No wonder the diagnosis hits like a bomb at first and turns life upside down. And as unpleasant as this condition is, there is extremely encouraging news for those affected: there are good chances to enjoy long periods without restrictions, and there is a lot you can do for yourself – now, immediately, without much effort and without sacrificing quality of life.

  Ver libro

• 

  Mathematical Biology - A Very...

  Philip K. Maini

  • 0
  • 0
  • 0

  Why are English Premier League football shirt patterns very similar to animal coat markings? And what do invasive species have in common with cancer cells in the body? Mathematical biology develops models which answer these questions, as they are applied to processes from the spread of a gene in a population, to predator-prey dynamics in an ecosystem, to the growth of tumors.In this Very Short Introduction Philip K. Maini describes the art of modeling, what it is, why we do it, and illustrates how the abstract way of thinking that is the essence of mathematics enables us to transfer knowledge from one area of research to another. Using numerous examples, he explains how the same fundamental ideas have been used in different fields, and shows how mathematics is the language of science. The author also points to cases in science where the traditional scientific modelling approach—verbal reasoning—is incorrect and shows how mathematics can uncover, and correct, such flawed reasoning while, at the same time, enhance our intuition. This book provides a guide to the trajectory of mathematical biology from a niche subject in the 1970s to a well-established, popular subject that is truly inter-disciplinary, and points to exciting future challenges.

  Ver libro

• 

  Spiritual Beekeeping - How and...

  Paula Carnell

  • 0
  • 0
  • 0

  Spiritual Beekeeping is not just a story- it's a remembering. An invitation to listen, to feel, and to reawaken your own connection with the natural world and the mysteries it holds. Following a dream from 35 years earlier, Paula and her husband Greg chose to give up their lives in the UK and spend a year on the remote Cocos (Keeling) Islands. What seemed like a taste of paradise soon became a spiritual crucible- testing their resilience, and awakening Paula's deepest connection with the bees which uncovered a profound and ancient wisdom that lives within the bees. The printed edition contains colour images to complement the story.

  Ver libro

• 

  The Art of AI Software...

  Tom Henricksen

  • 0
  • 0
  • 0

  The AI revolution is happening now. Software developers who embrace AI will be best positioned to thrive in the future. This concise ebook provides a crucial foundation in the core concepts driving this transformative technology, including:Machine Learning: How algorithms learn from data to make predictions.Deep Learning: The power of neural networks and their diverse applications.Generative AI: The exciting world of AI that creates new content.Large Language Models: The foundation of many AI applications.Prompt Engineering: The art of effectively interacting with AI models. Don't get left behind. Download this ebook today and embark on your AI journey.

  Ver libro