Kick off your book project in 3 hours! Live workshop on Zoom. You’ll leave with a real book project, progress on your first chapter, and a clear plan to keep going. Saturday, June 6, 2026. Learn more…
The author explains how the riemman hypothesis is valid according with some integrals.
Struggling with the scars of childhood trauma? Discover a simple, step-by-step path to healing with Childhood Trauma and Recovery. Dive into effective techniques and expert insights to reclaim your happiness. Say goodbye to pain and hello to a fresh start. Grab your copy today and begin a transformative journey to a joyful, fulfilled life.
Bringen Sie Ihre Java-Kenntnisse auf den aktuellen Stand und lernen Sie die vielfältigen Möglichkeiten von modernem Java kennen! Dieses Buch stellt verschiedene Verbesserungen vor, die bis zum aktuellen Java 21 LTS sowie im brandneuen Java 22 enthalten sind.
Essential C# for Beginners: 100 Must-Know Tips
En un ducado gobernado por un obispo, un alquimista en condenado a morir emparedado, y todos los involucrados en su juicio son asesinados de formas terribles. Un prelado encargado de investigar sus muertes debe esclarecer si es algo sobrenatural.
With The Icebreaker Playbook, you’ll get over 100 fun, effective prompts that make it easy to get your people talking and collaborating. The real work starts when people feel safe enough to share their ideas. In this book you'll find key tips for starting workshops and creating a positive atmosphere with 100+ simple, proven icebreakers that get everyone to contribute.
As the years pass, their relationship weaves through trials and revelations. Marcus, a laborer with a tumultuous past, and Empress, a typist turned artist, find solace in each other. She explores spirituality, hoping it will soothe his inner turmoil. But when she uncovers Marcus’s hidden history, their love faces its ultimate test.
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Unlock the power of linear algebra in your data science projects! "Linear Algebra Essentials for Data Scientists" dives into the key concepts driving data analysis and machine learning. With clear explanations, practical Python examples, and hands-on exercises, this book is your gateway to mastering the mathematical foundations of data science.