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  • Sách/Book


  • Authors: Larraín B, Felipe (2020)

  • This volume in the MIT Press Essential Knowledge series offers an introduction to the basics of macroeconomics accessible to the noneconomist. Readers will gain the tools to interpret such economic events as the 2008 financial meltdown, the subsequent euro crisis, and the current protectionist dynamics seen in some developed countries.

  • Sách/Book


  • Authors: Ivan Stanimirović (2022)

  • It gives a brief description of classic algorithms for solving linear programming problems as well as some theoretical results. It goes on to explain the definitions and solutions of linear programming problems, outlining the simplest geometric methods and showing how they can be implemented. Practical examples are included along the way. The book concludes with a discussion of multi-criteria decision-making methods. Advances in Optimization and Linear Programming is a highly useful guide to linear programming for professors and students in optimization and linear programming.

  • Sách/Book


  • Authors: Independently published (2020)

  • Introduces the popular, powerful and free programming language and software package R Focus : implementation of standard tools and methods used in econometrics Compatible with "Introductory Econometrics" by Jeffrey M. Wooldridge in terms of topics, organization, terminology and notation Companion website with full text, all code for download and other goodies Praise : "A very nice resource for those wanting to use R in their introductory econometrics courses." ( Jeffrey M. Wooldridge ) Using R for Introductory Econometrics is a fabulous modern resource

  • Sách/Book


  • Authors: - (2020)

  • The new edition of this best-selling textbook provides support for the main industry-standard software packages, expands the coverage of introductory mathematical and statistical techniques into two chapters for students without prior econometrics knowledge, and includes a new chapter on advanced methods. Learning outcomes, key concepts and end-of-chapter review questions (with full solutions online) highlight the main chapter takeaways and allow students to self-assess their understanding. Online resources include extensive teacher and student support materials, including EViews, Stata, R, and Python software guides.

  • Sách/Book


  • Authors: Malay Kumar Das (2023)

  • This book is aimed at senior undergraduate/graduate students and industry professionals in mechanical engineering, thermo-fluids, HVAC, energy engineering, power engineering, chemical engineering, nuclear engineering

  • Sách/Book


  • Authors: Campante, Filipe (2021)

  • It introduces the tools of dynamic optimization in the context of economic growth, and then applies them to a wide range of policy questions - ranging from pensions, consumption, investment and finance, to the most recent developments in fiscal and monetary policy. It does so with the requisite rigor, but also with a light touch, and an unyielding focus on their application to policy-making, as befits the authors' own practical experience

  • Sách/Book


  • Authors: Bill Lubanovic (2023)

  • "FastAPI is a young yet solid framework that takes advantage of newer Python features in a clean design. As its name implies, FastAPI is indeed fast, rivaling similar frameworks in languages such as Golang. With this practical book, developers familiar with Python will learn how FastAPI lets you accomplish more in less time with less code. Author Bill Lubanovic covers the nuts and bolts of FastAPI development with how-to guides on various topics such as forms, database access, graphics, maps, and more that will take you beyond the basics. The book also gets you up to speed on RESTful APIs, data validation, authorization, and performance. With its similarities to frameworks like Flask and Django, you'll find it easy to get started with FastAPI."

  • Sách/Book


  • Authors: Mathangi Sri (2021)

  • This book focuses on how natural language processing (NLP) is used in various industries. Each chapter describes the problem and solution strategy, then provides an intuitive explanation of how different algorithms work and a deeper dive on code and output in Python. Practical Natural Language Processing with Python follows a case study-based approach. Each chapter is devoted to an industry or a use case, where you address the real business problems in that industry and the various ways to solve them. You start with various types of text data before focusing on the customer service industry, the type of data available in that domain, and the common NLP problems encountered.

  • Sách/Book


  • Authors: Sobel , Russell (2020)

  • Learn to apply macroeconomic concepts to the real world as MACROECONOMICS: PRIVATE AND PUBLIC CHOICE, 17E highlights current economic conditions. Reader-friendly coverage analyzes and explains the latest economic activity, the recession of 2008-2009 and the economy's shutdown from the COVID-19 pandemic of 2020. This edition dispels common economic myths with insights that clarify today's economic issues and controversies