Download or read book Python for MBAs written by Mattan Griffel and published by Columbia University Press. This book was released on 2021-05-04 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the ads that track us to the maps that guide us, the twenty-first century runs on code. The business world is no different. Programming has become one of the fastest-growing topics at business schools around the world. An increasing number of MBAs are choosing to pursue careers in tech. For them and other professionals, having some basic coding knowledge is a must. This book is an introduction to programming with Python for MBA students and others in business positions who need a crash course. One of the most popular programming languages, Python is used for tasks such as building and running websites, data analysis, machine learning, and natural-language processing. Drawing on years of experience providing instruction in this material at Columbia Business School as well as extensive backgrounds in technology, entrepreneurship, and consulting, Mattan Griffel and Daniel Guetta teach the basics of programming from scratch. Beginning with fundamentals such as variables, strings, lists, and functions, they build up to data analytics and practical ways to derive value from large and complex datasets. They focus on business use cases throughout, using the real-world example of a major restaurant chain to offer a concrete look at what Python can do. Written for business students with no previous coding experience and those in business roles that include coding or working with coding teams, Python for MBAs is an indispensable introduction to a versatile and powerful programming language.

Download or read book Python for Finance written by Yves Hilpisch and published by "O'Reilly Media, Inc.". This book was released on 2018-12-05 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.

Download or read book Python for Data Science written by Ethan Williams and published by . This book was released on 2019-08-18 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive guide for beginners to learn Python Programming, especially its application for Data Science. While the lessons in this book are targeted at the absolute beginner to programming, people at various levels of proficiency in Python, or any other programming languages can also learn some basics and concepts of data science. A few Python libraries are introduced, including NumPy, Pandas, Matplotlib, and Seaborn for data analysis and visualisation. To make the lessons more intuitive and relatable, practical examples and applications of each lesson are given. The reader is equally encouraged to practise the techniques via exercises, within and at the end of the relevant chapters. To help the reader get a full learning experience, there are references to relevant reading and practice materials, and the reader is encouraged to click these links and explore the possibilities they offer. It is expected that with consistency in learning and practicing the reader can master Python and the basics of its application in data science. The only limitation to the reader's progress, however, is themselves!

Download or read book Learn C the Hard Way written by Zed A. Shaw and published by Addison-Wesley Professional. This book was released on 2015-08-10 with total page 931 pages. Available in PDF, EPUB and Kindle. Book excerpt: You Will Learn C! Zed Shaw has crafted the perfect course for the beginning C programmer eager to advance their skills in any language. Follow it and you will learn the many skills early and junior programmers need to succeed–just like the hundreds of thousands of programmers Zed has taught to date! You bring discipline, commitment, persistence, and experience with any programming language; the author supplies everything else. In Learn C the Hard Way, you’ll learn C by working through 52 brilliantly crafted exercises. Watch Zed Shaw’s teaching video and read the exercise. Type his code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn what good, modern C programs look like; how to think more effectively about code; and how to find and fix mistakes far more efficiently. Most importantly, you’ll master rigorous defensive programming techniques, so you can use any language to create software that protects itself from malicious activity and defects. Through practical projects you’ll apply what you learn to build confidence in your new skills. Shaw teaches the key skills you need to start writing excellent C software, including Setting up a C environment Basic syntax and idioms Compilation, make files, and linkers Operators, variables, and data types Program control Arrays and strings Functions, pointers, and structs Memory allocation I/O and files Libraries Data structures, including linked lists, sort, and search Stacks and queues Debugging, defensive coding, and automated testing Fixing stack overflows, illegal memory access, and more Breaking and hacking your own C code It’ll Be Hard at First. But Soon, You’ll Just Get It–And That Will Feel Great! This tutorial will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful programming languages. You’ll be a C programmer.

Download or read book Zero to One written by Peter Thiel and published by Crown Currency. This book was released on 2014-09-16 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: #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.

Download or read book Super Founders written by Ali Tamaseb and published by PublicAffairs. This book was released on 2021-05-18 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Super Founders uses a data-driven approach to understand what really differentiates billion-dollar startups from the rest—revealing that nearly everything we thought was true about them is false! Ali Tamaseb has spent thousands of hours manually amassing what may be the largest dataset ever collected on startups, comparing billion-dollar startups with those that failed to become one—30,000 data points on nearly every factor: number of competitors, market size, the founder’s age, his or her university’s ranking, quality of investors, fundraising time, and many, many more. And what he found looked far different than expected. Just to mention a few: Most unicorn founders had no industry experience; There's no disadvantage to being a solo founder or to being a non-technical CEO; Less than 15% went through any kind of accelerator program; Over half had strong competitors when starting--being first to market with an idea does not actually matter. You will also hear the stories of the early days of billion-dollar startups first-hand. The book includes exclusive interviews with the founders/investors of Zoom, Instacart, PayPal, Nest, Github, Flatiron Health, Kite Pharma, Facebook, Stripe, Airbnb, YouTube, LinkedIn, Lyft, DoorDash, Coinbase, and Square, venture capital investors like Elad Gil, Peter Thiel, Alfred Lin from Sequoia Capital and Keith Rabois of Founders Fund, as well as previously untold stories about the early days of ByteDance (TikTok), WhatsApp, Dropbox, Discord, DiDi, Flipkart, Instagram, Careem, Peloton, and SpaceX. Packed with counterintuitive insights and inside stories from people who have built massively successful companies, Super Founders is a paradigm-shifting and actionable guide for entrepreneurs, investors, and anyone interested in what makes a startup successful.

Download or read book Management 2 0 written by Forrest Breyfogle, 3rd and published by . This book was released on 2020-08 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, written in an easy-to-access novel format, provides practitioners and managers with: A free software app for response-metric tracking that provides insight not possible with traditional metric reporting techniques. A methodology for improvement project selection so that the big-picture will benefit from the project′s completion. A clickable Lean Six Sigma Define-Measure-Analyze-Improve-Control (DMAIC) process-improvement roadmap that integrates the application of Lean and Six Sigma tools so that the right tool is used at the right time when undertaking process improvement efforts. A methodology to statistically show and quantify at the 30,000-foot-level the benefit from process improvement efforts. This book provides direction on how organizations can resolve issues that commonly occur with: Traditional control charts and process capability reporting techniques. AQL testing and reporting. Lean Six Sigma deployments. This book provides direction in how organizations can benefit from the wise application of: Statistical and non-statistical techniques. Design of Experiments (DOE) in both manufacturing and transactional processes. In this book, Jorge and his golfing MBA buddies discover a no-nonsense methodology that minimizes the risk of organizations' doing bad things. As well, the described method provides direction for establishments to move toward the achievement of the 3Rs of business; that is, everyone doing the Right things, and doing them Right at the Right time. This novel describes the application of Integrated Enterprise Excellence (IEE). The IEE system offers much flexibility, including a means for effectively managing an organization remotely. Described is how Jorge implemented IEE in his Harris Hospital and how his golfing MBA friends applied and also benefited from the methodology in their manufacturing and transactional organizations. IEE provides a comprehensive 9-step system that CEOs, presidents, general managers, executives, managers, leaders, practitioners, and others can use to resolve elephant-in-the-room management issues such as: Business goals not being met. Scorecards leading to harmful, if not destructive, behaviors. Persistent day-to-day firefighting problems. Business strategies that are very generic and/or difficult to translate to organizational work environments. Lean events and other improvement projects that can consume many resources but often do not offer a quantifiable benefit to the business as a whole. Lean Six Sigma process improvement deployments that have improvement projects, which are either not completed in a timely fashion or which make substantial financial claims that are questionable. This book offers an easy-to-understand book-character dialog on how to implement Deming's management philosophy and deliver a system for managing the needs of ISO 9000, Baldrige award criteria, and Shingo Prize criteria all at one time through the IEE business management system.

Download or read book Business Data Science Combining Machine Learning and Economics to Optimize Automate and Accelerate Business Decisions written by Matt Taddy and published by McGraw Hill Professional. This book was released on 2019-08-23 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine learning to implement best-in-class business data science. Whether you are a business leader with a desire to go deep on data, or an engineer who wants to learn how to apply Machine Learning to business problems, you’ll find the information, insight, and tools you need to flourish in today’s data-driven economy. You’ll learn how to: •Use the key building blocks of Machine Learning: sparse regularization, out-of-sample validation, and latent factor and topic modeling•Understand how use ML tools in real world business problems, where causation matters more that correlation•Solve data science programs by scripting in the R programming language Today’s business landscape is driven by data and constantly shifting. Companies live and die on their ability to make and implement the right decisions quickly and effectively. Business Data Science is about doing data science right. It’s about the exciting things being done around Big Data to run a flourishing business. It’s about the precepts, principals, and best practices that you need know for best-in-class business data science.

Download or read book Analysis of Financial Time Series written by Ruey S. Tsay and published by John Wiley & Sons. This book was released on 2010-10-26 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described. The author begins with basic characteristics of financial time series data before covering three main topics: Analysis and application of univariate financial time series The return series of multiple assets Bayesian inference in finance methods Key features of the new edition include additional coverage of modern day topics such as arbitrage, pair trading, realized volatility, and credit risk modeling; a smooth transition from S-Plus to R; and expanded empirical financial data sets. The overall objective of the book is to provide some knowledge of financial time series, introduce some statistical tools useful for analyzing these series and gain experience in financial applications of various econometric methods.

Download or read book Python for Excel written by Felix Zumstein and published by "O'Reilly Media, Inc.". This book was released on 2021-03-04 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language. In fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein--creator of xlwings, a popular open source package for automating Excel with Python--shows experienced Excel users how to integrate these two worlds efficiently. Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for daily automation tasks. This guide gets you started. Use Python without extensive programming knowledge Get started with modern tools, including Jupyter notebooks and Visual Studio code Use pandas to acquire, clean, and analyze data and replace typical Excel calculations Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports Use xlwings to build interactive Excel tools that use Python as a calculation engine Connect Excel to databases and CSV files and fetch data from the internet using Python code Use Python as a single tool to replace VBA, Power Query, and Power Pivot

Download or read book Data Science for Business written by Foster Provost and published by "O'Reilly Media, Inc.". This book was released on 2013-07-27 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates

Download or read book Engineering Your Retirement written by Mike Golio and published by John Wiley & Sons. This book was released on 2007-01-29 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical retirement planning resource for engineers, scientists, and mathematicians In 1995, Dr. Mike Golio, an electrical engineer, became seriously interested in planning for early retirement. In 2003, at the age of 49, he and his wife achieved their goal of financial independence and retired. Engineering Your Retirement is an outgrowth of his research. Whether retirement is imminent or many years off, this valuable guide's straightforward, analytical approach to financial independence answers the critical questions to achieving successful, comfortable, and meaningful retirement. Written specifically for professionals in the engineering, science, and math fields, Engineering Your Retirement examines such important questions as: * How much money will I need to retire? * How long will it take for me to accumulate it? * What types of post-retirement activities are available to technical professionals? Engineering Your Retirement discusses financial independence from the unique cultural view of the technical professional and features many charts, graphs, analytical tools, and equations to help present the financial nuts-and-bolts of retiring in a logical and analytical manner. It offers practical, firsthand advice from an industry expert on: * Effectively budgeting for investments * Planning for health insurance * Choosing a retirement community * Building up a cash/bond ladder * Considering inflation * Portfolio requirements * Investment allocations * Paying off a mortgage * And much more!

Download or read book Financial Engineering and Computation written by Yuh-Dauh Lyuu and published by Cambridge University Press. This book was released on 2002 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive text and reference, first published in 2002, on the theory of financial engineering with numerous algorithms for pricing, risk management, and portfolio management.

Download or read book Coding Literacy written by Annette Vee and published by MIT Press. This book was released on 2017-07-28 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: How the theoretical tools of literacy help us understand programming in its historical, social and conceptual contexts. The message from educators, the tech community, and even politicians is clear: everyone should learn to code. To emphasize the universality and importance of computer programming, promoters of coding for everyone often invoke the concept of “literacy,” drawing parallels between reading and writing code and reading and writing text. In this book, Annette Vee examines the coding-as-literacy analogy and argues that it can be an apt rhetorical frame. The theoretical tools of literacy help us understand programming beyond a technical level, and in its historical, social, and conceptual contexts. Viewing programming from the perspective of literacy and literacy from the perspective of programming, she argues, shifts our understandings of both. Computer programming becomes part of an array of communication skills important in everyday life, and literacy, augmented by programming, becomes more capacious. Vee examines the ways that programming is linked with literacy in coding literacy campaigns, considering the ideologies that accompany this coupling, and she looks at how both writing and programming encode and distribute information. She explores historical parallels between writing and programming, using the evolution of mass textual literacy to shed light on the trajectory of code from military and government infrastructure to large-scale businesses to personal use. Writing and coding were institutionalized, domesticated, and then established as a basis for literacy. Just as societies demonstrated a “literate mentality” regardless of the literate status of individuals, Vee argues, a “computational mentality” is now emerging even though coding is still a specialized skill.

Download or read book Python Crash Course 2nd Edition written by Eric Matthes and published by No Starch Press. This book was released on 2019-05-03 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: The best-selling Python book in the world, with over 1 million copies sold! A fast-paced, no-nonsense, updated guide to programming in Python. If you've been thinking about learning how to code or picking up Python, this internationally bestselling guide to the most popular programming language is your quickest, easiest way to get started and go! Even if you have no experience whatsoever, Python Crash Course, 2nd Edition, will have you writing programs, solving problems, building computer games, and creating data visualizations in no time. You’ll begin with basic concepts like variables, lists, classes, and loops—with the help of fun skill-strengthening exercises for every topic—then move on to making interactive programs and best practices for testing your code. Later chapters put your new knowledge into play with three cool projects: a 2D Space Invaders-style arcade game, a set of responsive data visualizations you’ll build with Python's handy libraries (Pygame, Matplotlib, Plotly, Django), and a customized web app you can deploy online. Why wait any longer? Start your engine and code!

Download or read book Multivariate Time Series Analysis written by Ruey S. Tsay and published by John Wiley & Sons. This book was released on 2013-11-11 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a fundamental balance of theory and methodology, the book supplies readers with a comprehensible approach to financial econometric models and their applications to real-world empirical research. Differing from the traditional approach to multivariate time series, the book focuses on reader comprehension by emphasizing structural specification, which results in simplified parsimonious VAR MA modeling. Multivariate Time Series Analysis: With R and Financial Applications utilizes the freely available R software package to explore complex data and illustrate related computation and analyses. Featuring the techniques and methodology of multivariate linear time series, stationary VAR models, VAR MA time series and models, unitroot process, factor models, and factor-augmented VAR models, the book includes: • Over 300 examples and exercises to reinforce the presented content • User-friendly R subroutines and research presented throughout to demonstrate modern applications • Numerous datasets and subroutines to provide readers with a deeper understanding of the material Multivariate Time Series Analysis is an ideal textbook for graduate-level courses on time series and quantitative finance and upper-undergraduate level statistics courses in time series. The book is also an indispensable reference for researchers and practitioners in business, finance, and econometrics.

Download or read book Don t Pay for Your MBA written by Laurie Pickard and published by AMACOM. This book was released on 2017-11-02 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the secrets and tips to get the business education you need, the faster and cheaper way. The average debt load for graduates of the top business schools has now exceeded $100,000. For most young professionals, this means spending the first half of their career in the red and feeling pressure to take the first position offered to them so that they can start paying off their debt. However, it doesn’t have to be that way. Author and businesswoman Laurie Pickard discovered a way to get the business education she needed to land her dream job while avoiding the massive school loans that plague so many. In Don’t Pay for Your MBA, she shares all that she learned so that others can benefit as well. Pickard discovered that the same prestigious business schools that offer the MBAs so many covet also offer MOOCs (massive online open courses) for low or even no cost. Within these pages, you will learn how to: Define your goals and tailor a curriculum that is geared toward your dream job Master the language of business Build a strong network Choose a concentration and deepen your expertise Showcase your nontraditional education in a way that attracts companies Don’t fall for the lies that pressure countless graduates every year into MBA programs and insurmountable debt. Self-directed online learning can fill gaps in your training, position you for promotions, and open new opportunities--at a fraction of the cost!