Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

Designing Data-Intensive Applications

To be unstoppable, you keep going when everyone else is giving up; you thrive under pressure; you never let your emotions make you weak. Grover details the essential traits shared by the most intense competitors and achievers in sports, business, and all walks of life. He shows you how even the best get better-- and how you can too.

Relentless

This guide gives a complete and detailed description of the HTTP protocol and how it shapes the landscape of the Web by the technologies that it supports.

HTTP: The Definitive Guide

School taught us specific subjects, like maths and history. But we weren't taught: How to sell Or how to build relationships Or how to negotiate Or how to take care of our mental health Or how to network Or how to deal with personal finance

Build, Don't Talk

Dale Carnegie's 'How To Make Friends And Influence People' is a timeless self-help classic that delves into the intricacies of human interactions. Written in a straightforward and practical style, the book provides readers with invaluable advice on how to navigate social relationships and achieve personal success. Carnegie's insightful tips on communication, empathy, and persuasion are as relevant today as they were when the book was first published in 1936. Drawing on real-life examples and anecdotes, the author offers a comprehensive guide to building lasting connections and mastering the art of influence in both personal and professional settings. Dale Carnegie, a renowned self-improvement guru, drew on his own experiences as a successful businessman and public speaker to write this groundbreaking work. His genuine interest in helping others achieve their full potential shines through in the pages of this insightful and empowering book. Through 'How To Make Friends And Influence People,' Carnegie has inspired countless individuals to unlock their social potential and become more effective communicators. I highly recommend 'How To Make Friends And Influence People' to anyone looking to enhance their interpersonal skills and cultivate meaningful relationships. Whether you are a student, a professional, or simply someone seeking personal growth, Carnegie's timeless advice offers valuable insights that can benefit readers from all walks of life.

How To Make Friends And Influence People

#1 NEW YORK TIMES BESTSELLER • “This book delivers completely new and refreshing ideas on how to create value in the world.”—Mark Zuckerberg, CEO of Meta “Peter Thiel has built multiple breakthrough companies, and Zero to One shows how.”—Elon Musk, CEO of SpaceX and Tesla The great secret of our time is that there are still uncharted frontiers to explore and new inventions to create. In Zero to One, legendary entrepreneur and investor Peter Thiel shows how we can find singular ways to create those new things. Thiel begins with the contrarian premise that we live in an age of technological stagnation, even if we’re too distracted by shiny mobile devices to notice. Information technology has improved rapidly, but there is no reason why progress should be limited to computers or Silicon Valley. Progress can be achieved in any industry or area of business. It comes from the most important skill that every leader must master: learning to think for yourself. Doing what someone else already knows how to do takes the world from 1 to n, adding more of something familiar. But when you do something new, you go from 0 to 1. The next Bill Gates will not build an operating system. The next Larry Page or Sergey Brin won’t make a search engine. Tomorrow’s champions will not win by competing ruthlessly in today’s marketplace. They will escape competition altogether, because their businesses will be unique. Zero to One presents at once an optimistic view of the future of progress in America and a new way of thinking about innovation: it starts by learning to ask the questions that lead you to find value in unexpected places.

Zero to One

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

The Sunday Times Number One Bestseller Jay Shetty, social media superstar and host of the #1 podcast 'On Purpose', distils the timeless wisdom he learned as a practising monk into practical steps anyone can take every day to live a less anxious, more meaningful life. Over the past three years, Jay Shetty has become a favourite in the hearts and minds of millions of people worldwide. One of his clips was the most watched video on Facebook last year, with over 360 million views. His social media following totals over 32 million, he has produced over 400 viral videos, which have amassed more than 5 billion views, and his podcast, 'On Purpose', is consistently ranked the world's #1 health-related podcast. In this inspiring, empowering book, Shetty draws on his time as a monk in the Vedic tradition to show us how we can clear the roadblocks to our potential and power. Drawing on ancient wisdom and his own rich experiences in the ashram, Think Like a Monk reveals how to overcome negative thoughts and habits, and access the calm and purpose that lie within all of us. The lessons monks learn are profound but often abstract. Shetty transforms them into advice and exercises we can all apply to reduce stress, improve focus, improve relationships, identify our hidden abilities, increase self-discipline and give the gifts we find in ourselves to the world. Shetty proves that everyone can - and should - think like a monk. Perfect for fans of Wim Hof, Robin S. Sharma and James Nestor!

Gaurav Nardia

Full Stack developer