Book

Web Development with Django: Learn to Build Modern Web Applications with a Python-Based Framework by Ben Shaw, Saurabh Badhwar, Andrew Bird, Bharath Chandra K S, and Chris Guest Summary “Web Development with Django” is a comprehensive guide designed to equip readers with the knowledge and confidence to build real-world applications using the Django framework. The book adopts a hands-on approach, guiding readers through the creation of “Bookr,” a book review website, to illustrate Django’s core features and functionalities. :contentReference[oaicite:0]{index=0} ...

Security Engineering: A Guide to Building Dependable Distributed Systems by Ross Anderson Summary “Security Engineering: A Guide to Building Dependable Distributed Systems” by Ross Anderson is a comprehensive guide that explores the principles, strategies, and practices involved in designing secure and reliable distributed systems. The book covers a wide range of topics, including the basics of security and cryptography, specific security challenges in different environments, and methodologies to protect against various types of threats. It delves into the technical details of the engineering process, emphasizing the importance of understanding the social systems within which technology operates. The third edition adds updates to cover new advancements and challenges in security engineering, reflecting on modern threats and defenses. ...

Go Do Deals: The Entrepreneur’s Guide to Buying & Selling Businesses Summary “Go Do Deals: The Entrepreneur’s Guide to Buying & Selling Businesses” by Jeremy Harbour provides comprehensive guidance on the intricacies involved in the purchase and sale of businesses. The book is designed for entrepreneurs and business owners, offering a detailed roadmap on how to effectively navigate the complexities of business acquisitions and exits. Harbour leverages his extensive experience in deal-making to simplify the process, empowering readers with the knowledge needed to structure transactions, negotiate effectively, and ultimately succeed in buying and selling businesses. ...

Crafting Test-Driven Software with Python Summary “Crafting Test-Driven Software with Python” by Alessandro Molina is a comprehensive guide that teaches developers how to implement Test-Driven Development (TDD) using Python and the pytest framework. The book begins by introducing the fundamentals of TDD and why it’s a valuable approach for producing reliable and maintainable code. It then delves into writing effective test suites that can scale with the complexity of real-world applications. ...

How to Teach Anything: Break Down Complex Topics and Explain with Clarity, While Keeping Engagement and Motivation Summary Peter Hollins’ “How to Teach Anything” focuses on providing readers with practical strategies for effectively teaching and explaining complex topics with clarity. The book is part of Hollins’ “Learning how to Learn” series, which emphasizes cognitive psychology principles to make learning and teaching more efficient. Hollins outlines methods for breaking down complicated subjects into understandable segments while maintaining student engagement and motivation throughout the learning process. This involves using simple language, relatable examples, and interactive teaching approaches that cater to different learning styles. ...

Git for Programmers: Master Git for Effective Implementation of Version Control for Your Programming Projects by Jessy Liberty Summary Git for Programmers by Jessy Liberty is a comprehensive guide to using Git for version control in programming projects. Aimed at developers looking to enhance their workflow, the book covers fundamental and advanced Git concepts, from setting up a repository and basic commit commands to branching strategies, merging conflicts, and advanced features like rebasing and cherry-picking. Liberty provides practical examples and step-by-step instructions, making Git accessible for beginners while offering insights for experienced developers to deepen their skills. ...

The SaaS Playbook: Build a Multimillion-Dollar Startup Without Venture Capital Summary The biggest secret of the startup industry is that bad marketing is the #1 cause of startup failure. This secret exists for two reasons; one, marketers are adept at shifting blame to the product, the market, the user, the management, etc., and two, many of the great startup marketing minds are holding their cards close. In Full-Scale, startup growth consultant and entrepreneur Anthony W. Richardson reveals the exact framework that he has built over the course of his career that enables him grow any startup client, of any industry without as much as a marketing plan or a yearly budget. Some say as many as 90% of startups fail, yet 83% of Anthony W. Richardson’s clients are either still in business or have already been acquired. Richardson begins with a bold scientific premise: What if we could say with literal certainty that we are spending our money, time and resources on the marketing tasks that will have the greatest impact? What if we build a formula that measures these things directly against the causes of startup failure? What if the growth marketer is not only responsible for scaling a startup but also any items that would prevent growth? Growing a startup isn’t difficult when you start with a great framework. The methodology found in Full-Scale goes even further, beyond growth marketing, and demonstrates how the principles found within this book will also indicate when and how to make other big decisions like: feature development, hiring and firing, pivoting, fund raising getting acquired and more. Suddenly, growth drives the entire operation and the startup is moving at Full-Scale, from the top down, without tips or tricks. Full-Scale presents a new, proven way to grow startups as well as a comparative look at the pitfalls of existing marketing methodologies and why a consultant needed something stronger than simply startup marketing, growth hacking, full-stack or even traditional methods. What if you could actually make that claim using scientific principles and back it up with data? What if you could say words like “best”, “fastest”, and “most efficient” and mean them literally? The Full-Scale method does just that. After adopting the principles outlined in this book you will be able to say it and mean it. Praise for Full-Scale: “Absolutely worth the investment. Full-Scale has my highest recommendation” - David B. “A must read for any business owner or marketing professional.” - Amir S. “[Anthony] is a genius. his methodology combats the resource drain that occurs in startups-as entrepreneurs struggle to make the best decisions with limited resources.” - Nathan C. “This is now my go-to recommendation when anyone asks me about startup marketing. Anthony proves that he’s got enough skin in the game to know what it’s really about. Can’t recommend this enough.” - Ryan G.

The Psychology of Money: Timeless lessons on wealth, greed, and happiness Summary WINNER, Business: Personal Finance/Investing, 2015 USA Best Book Awards FINALIST, Business: Reference, 2015 USA Best Book Awards Investor Behavior provides readers with a comprehensive understanding and the latest research in the area of behavioral finance and investor decision making. Blending contributions from noted academics and experienced practitioners, this 30-chapter book will provide investment professionals with insights on how to understand and manage client behavior; a framework for interpreting financial market activity; and an in-depth understanding of this important new field of investment research. The book should also be of interest to academics, investors, and students. The book will cover the major principles of investor psychology, including heuristics, bounded rationality, regret theory, mental accounting, framing, prospect theory, and loss aversion. Specific sections of the book will delve into the role of personality traits, financial therapy, retirement planning, financial coaching, and emotions in investment decisions. Other topics covered include risk perception and tolerance, asset allocation decisions under inertia and inattention bias; evidenced based financial planning, motivation and satisfaction, behavioral investment management, and neurofinance. Contributions will delve into the behavioral underpinnings of various trading and investment topics including trader psychology, stock momentum, earnings surprises, and anomalies. The final chapters of the book examine new research on socially responsible investing, mutual funds, and real estate investing from a behavioral perspective. Empirical evidence and current literature about each type of investment issue are featured. Cited research studies are presented in a straightforward manner focusing on the comprehension of study findings, rather than on the details of mathematical frameworks.

Dear Math: Why Kids Hate Math and What Teachers Can Do About It Summary Practical guide for developmentally appropriate, student-centered mathematics instruction from best selling mathematics methods authors.

Why Machines Learn: The Elegant Math Behind Modern AI Summary This is a book whose time has come-again. The first edition (published by McGraw-Hill in 1964) was written in 1962, and it celebrated a number of approaches to developing an automata theory that could provide insights into the processing of information in brainlike machines, making it accessible to readers with no more than a college freshman’s knowledge of mathematics. The book introduced many readers to aspects of cybernetics-the study of computation and control in animal and machine. But by the mid-1960s, many workers abandoned the integrated study of brains and machines to pursue artificial intelligence (AI) as an end in itself-the programming of computers to exhibit some aspects of human intelligence, but with the emphasis on achieving some benchmark of performance rather than on capturing the mechanisms by which humans were themselves intelligent. Some workers tried to use concepts from AI to model human cognition using computer programs, but were so dominated by the metaphor “the mind is a computer” that many argued that the mind must share with the computers of the 1960s the property of being serial, of executing a series of operations one at a time. As the 1960s became the 1970s, this trend continued. Meanwhile, experi mental neuroscience saw an exploration of new data on the anatomy and physiology of neural circuitry, but little of this research placed these circuits in the context of overall behavior, and little was informed by theoretical con cepts beyond feedback mechanisms and feature detectors.