| maximum profit hackerrank solution: Python One-Liners Christian Mayer, 2020-05-12 Python programmers will improve their computer science skills with these useful one-liners. Python One-Liners will teach you how to read and write one-liners: concise statements of useful functionality packed into a single line of code. You'll learn how to systematically unpack and understand any line of Python code, and write eloquent, powerfully compressed Python like an expert. The book's five chapters cover tips and tricks, regular expressions, machine learning, core data science topics, and useful algorithms. Detailed explanations of one-liners introduce key computer science concepts and boost your coding and analytical skills. You'll learn about advanced Python features such as list comprehension, slicing, lambda functions, regular expressions, map and reduce functions, and slice assignments. You'll also learn how to: • Leverage data structures to solve real-world problems, like using Boolean indexing to find cities with above-average pollution • Use NumPy basics such as array, shape, axis, type, broadcasting, advanced indexing, slicing, sorting, searching, aggregating, and statistics • Calculate basic statistics of multidimensional data arrays and the K-Means algorithms for unsupervised learning • Create more advanced regular expressions using grouping and named groups, negative lookaheads, escaped characters, whitespaces, character sets (and negative characters sets), and greedy/nongreedy operators • Understand a wide range of computer science topics, including anagrams, palindromes, supersets, permutations, factorials, prime numbers, Fibonacci numbers, obfuscation, searching, and algorithmic sorting By the end of the book, you'll know how to write Python at its most refined, and create concise, beautiful pieces of Python art in merely a single line. |
| maximum profit hackerrank solution: Cracking the Coding Interview Gayle Laakmann McDowell, 2011 Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time. |
| maximum profit hackerrank solution: Constraint Processing Rina Dechter, 2003-05-05 Constraint reasoning has matured over the last three decades with contributions from a diverse community of researchers in artificial intelligence, databases and programming languages, operations research, management science, and applied mathematics. In Constraint Processing, Rina Dechter synthesizes these contributions, as well as her own significant work, to provide the first comprehensive examination of the theory that underlies constraint processing algorithms. |
| maximum profit hackerrank solution: Introduction To Algorithms Thomas H Cormen, Charles E Leiserson, Ronald L Rivest, Clifford Stein, 2001 An extensively revised edition of a mathematically rigorous yet accessible introduction to algorithms. |
| maximum profit hackerrank solution: Optimized C++ Kurt Guntheroth, 2016-04-27 In today’s fast and competitive world, a program’s performance is just as important to customers as the features it provides. This practical guide teaches developers performance-tuning principles that enable optimization in C++. You’ll learn how to make code that already embodies best practices of C++ design run faster and consume fewer resources on any computer—whether it’s a watch, phone, workstation, supercomputer, or globe-spanning network of servers. Author Kurt Guntheroth provides several running examples that demonstrate how to apply these principles incrementally to improve existing code so it meets customer requirements for responsiveness and throughput. The advice in this book will prove itself the first time you hear a colleague exclaim, “Wow, that was fast. Who fixed something?” Locate performance hot spots using the profiler and software timers Learn to perform repeatable experiments to measure performance of code changes Optimize use of dynamically allocated variables Improve performance of hot loops and functions Speed up string handling functions Recognize efficient algorithms and optimization patterns Learn the strengths—and weaknesses—of C++ container classes View searching and sorting through an optimizer’s eye Make efficient use of C++ streaming I/O functions Use C++ thread-based concurrency features effectively |
| maximum profit hackerrank solution: Dynamic Programming Art Lew, Holger Mauch, 2006-10-09 This book provides a practical introduction to computationally solving discrete optimization problems using dynamic programming. From the examples presented, readers should more easily be able to formulate dynamic programming solutions to their own problems of interest. We also provide and describe the design, implementation, and use of a software tool that has been used to numerically solve all of the problems presented earlier in the book. |
| maximum profit hackerrank solution: Programming Challenges Steven S Skiena, Miguel A. Revilla, 2006-04-18 There are many distinct pleasures associated with computer programming. Craftsmanship has its quiet rewards, the satisfaction that comes from building a useful object and making it work. Excitement arrives with the flash of insight that cracks a previously intractable problem. The spiritual quest for elegance can turn the hacker into an artist. There are pleasures in parsimony, in squeezing the last drop of performance out of clever algorithms and tight coding. The games, puzzles, and challenges of problems from international programming competitions are a great way to experience these pleasures while improving your algorithmic and coding skills. This book contains over 100 problems that have appeared in previous programming contests, along with discussions of the theory and ideas necessary to attack them. Instant online grading for all of these problems is available from two WWW robot judging sites. Combining this book with a judge gives an exciting new way to challenge and improve your programming skills. This book can be used for self-study, for teaching innovative courses in algorithms and programming, and in training for international competition. The problems in this book have been selected from over 1,000 programming problems at the Universidad de Valladolid online judge. The judge has ruled on well over one million submissions from 27,000 registered users around the world to date. We have taken only the best of the best, the most fun, exciting, and interesting problems available. |
| maximum profit hackerrank solution: A Course in Game Theory Martin J. Osborne, Ariel Rubinstein, 1994-07-12 A Course in Game Theory presents the main ideas of game theory at a level suitable for graduate students and advanced undergraduates, emphasizing the theory's foundations and interpretations of its basic concepts. The authors provide precise definitions and full proofs of results, sacrificing generalities and limiting the scope of the material in order to do so. The text is organized in four parts: strategic games, extensive games with perfect information, extensive games with imperfect information, and coalitional games. It includes over 100 exercises. |
| maximum profit hackerrank solution: Inside the Black Box Rishi K. Narang, 2013-03-25 New edition of book that demystifies quant and algo trading In this updated edition of his bestselling book, Rishi K Narang offers in a straightforward, nontechnical style—supplemented by real-world examples and informative anecdotes—a reliable resource takes you on a detailed tour through the black box. He skillfully sheds light upon the work that quants do, lifting the veil of mystery around quantitative trading and allowing anyone interested in doing so to understand quants and their strategies. This new edition includes information on High Frequency Trading. Offers an update on the bestselling book for explaining in non-mathematical terms what quant and algo trading are and how they work Provides key information for investors to evaluate the best hedge fund investments Explains how quant strategies fit into a portfolio, why they are valuable, and how to evaluate a quant manager This new edition of Inside the Black Box explains quant investing without the jargon and goes a long way toward educating investment professionals. |
| maximum profit hackerrank solution: The Algorithm Design Manual Steven S Skiena, 2009-04-05 This newly expanded and updated second edition of the best-selling classic continues to take the mystery out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them • Includes several NEW war stories relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java |
| maximum profit hackerrank solution: Python Crash Course Eric Matthes, 2015-11-01 Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time. In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. You’ll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you’ll put your new knowledge into practice with three substantial projects: a Space Invaders–inspired arcade game, data visualizations with Python’s super-handy libraries, and a simple web app you can deploy online. As you work through Python Crash Course you’ll learn how to: –Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal –Make 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progresses –Work with data to generate interactive visualizations –Create and customize Web apps and deploy them safely online –Deal with mistakes and errors so you can solve your own programming problems If you’ve been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code! Uses Python 2 and 3 |
| maximum profit hackerrank solution: Elements of Programming Interviews Adnan Aziz, Tsung-Hsien Lee, Amit Prakash, 2012 The core of EPI is a collection of over 300 problems with detailed solutions, including 100 figures, 250 tested programs, and 150 variants. The problems are representative of questions asked at the leading software companies. The book begins with a summary of the nontechnical aspects of interviewing, such as common mistakes, strategies for a great interview, perspectives from the other side of the table, tips on negotiating the best offer, and a guide to the best ways to use EPI. The technical core of EPI is a sequence of chapters on basic and advanced data structures, searching, sorting, broad algorithmic principles, concurrency, and system design. Each chapter consists of a brief review, followed by a broad and thought-provoking series of problems. We include a summary of data structure, algorithm, and problem solving patterns. |
| maximum profit hackerrank solution: Algorithms Robert Sedgewick, Kevin Wayne, 2014-02-01 This book is Part I of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part I contains Chapters 1 through 3 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the Online Course link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience. |
| maximum profit hackerrank solution: Coding Freedom E. Gabriella Coleman, 2013 Who are computer hackers? What is free software? And what does the emergence of a community dedicated to the production of free and open source software--and to hacking as a technical, aesthetic, and moral project--reveal about the values of contemporary liberalism? Exploring the rise and political significance of the free and open source software (F/OSS) movement in the United States and Europe, Coding Freedom details the ethics behind hackers' devotion to F/OSS, the social codes that guide its production, and the political struggles through which hackers question the scope and direction of copyright and patent law. In telling the story of the F/OSS movement, the book unfolds a broader narrative involving computing, the politics of access, and intellectual property. E. Gabriella Coleman tracks the ways in which hackers collaborate and examines passionate manifestos, hacker humor, free software project governance, and festive hacker conferences. Looking at the ways that hackers sustain their productive freedom, Coleman shows that these activists, driven by a commitment to their work, reformulate key ideals including free speech, transparency, and meritocracy, and refuse restrictive intellectual protections. Coleman demonstrates how hacking, so often marginalized or misunderstood, sheds light on the continuing relevance of liberalism in online collaboration. |
| maximum profit hackerrank solution: Exotic Options Trading Frans de Weert, 2011-01-19 Written by an experienced trader and consultant, Frans de Weert’s Exotic Options Trading offers a risk-focused approach to the pricing of exotic options. By giving readers the necessary tools to understand exotic options, this book serves as a manual to equip the reader with the skills to price and risk manage the most common and the most complex exotic options. De Weert begins by explaining the risks associated with trading an exotic option before dissecting these risks through a detailed analysis of the actual economics and Greeks rather than solely stating the mathematical formulae. The book limits the use of mathematics to explain exotic options from an economic and risk perspective by means of real life examples leading to a practical interpretation of the mathematical pricing formulae. The book covers conventional options, digital options, barrier options, cliquets, quanto options, outperformance options and variance swaps, and explains difficult concepts in simple terms, with a practical approach that gives the reader a full understanding of every aspect of each exotic option. The book also discusses structured notes with exotic options embedded in them, such as reverse convertibles, callable and puttable reverse convertibles and autocallables and shows the rationale behind these structures and their associated risks. For each exotic option, the author makes clear why there is an investor demand; explains where the risks lie and how this affects the actual pricing; shows how best to hedge any vega or gamma exposure embedded in the exotic option and discusses the skew exposure. By explaining the practical implications for every exotic option and how it affects the price, in addition to the necessary mathematical derivations and tools for pricing exotic options, Exotic Options Trading removes the mystique surrounding exotic options in order to give the reader a full understanding of every aspect of each exotic option, creating a useable tool for dealing with exotic options in practice. “Although exotic options are not a new subject in finance, the coverage traditionally afforded by many texts is either too high level or overly mathematical. De Weert's exceptional text fills this gap superbly. It is a rigorous treatment of a number of exotic structures and includes numerous examples to clearly illustrate the principles. What makes this book unique is that it manages to strike a fantastic balance between the theory and actual trading practice. Although it may be something of an overused phrase to describe this book as compulsory reading, I can assure any reader they will not be disappointed.” —Neil Schofield, Training Consultant and author of Commodity Derivatives: Markets and Applications “Exotic Options Trading does an excellent job in providing a succinct and exhaustive overview of exotic options. The real edge of this book is that it explains exotic options from a risk and economical perspective and provides a clear link to the actual profit and pricing formulae. In short, a must read for anyone who wants to get deep insights into exotic options and start trading them profitably.” —Arturo Bignardi |
| maximum profit hackerrank solution: Introduction to Stochastic Calculus with Applications Fima C. Klebaner, 2005 This book presents a concise treatment of stochastic calculus and its applications. It gives a simple but rigorous treatment of the subject including a range of advanced topics, it is useful for practitioners who use advanced theoretical results. It covers advanced applications, such as models in mathematical finance, biology and engineering.Self-contained and unified in presentation, the book contains many solved examples and exercises. It may be used as a textbook by advanced undergraduates and graduate students in stochastic calculus and financial mathematics. It is also suitable for practitioners who wish to gain an understanding or working knowledge of the subject. For mathematicians, this book could be a first text on stochastic calculus; it is good companion to more advanced texts by a way of examples and exercises. For people from other fields, it provides a way to gain a working knowledge of stochastic calculus. It shows all readers the applications of stochastic calculus methods and takes readers to the technical level required in research and sophisticated modelling.This second edition contains a new chapter on bonds, interest rates and their options. New materials include more worked out examples in all chapters, best estimators, more results on change of time, change of measure, random measures, new results on exotic options, FX options, stochastic and implied volatility, models of the age-dependent branching process and the stochastic Lotka-Volterra model in biology, non-linear filtering in engineering and five new figures.Instructors can obtain slides of the text from the author. |
| maximum profit hackerrank solution: Grokking Algorithms Aditya Bhargava, 2016-05-12 This book does the impossible: it makes math fun and easy! - Sander Rossel, COAS Software Systems Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel. Continue your journey into the world of algorithms with Algorithms in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-?in-motion). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. About the Book Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them. What's Inside Covers search, sort, and graph algorithms Over 400 pictures with detailed walkthroughs Performance trade-offs between algorithms Python-based code samples About the Reader This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. About the Author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Table of Contents Introduction to algorithms Selection sort Recursion Quicksort Hash tables Breadth-first search Dijkstra's algorithm Greedy algorithms Dynamic programming K-nearest neighbors |
| maximum profit hackerrank solution: How to Design Programs, second edition Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi, 2018-05-25 A completely revised edition, offering new design recipes for interactive programs and support for images as plain values, testing, event-driven programming, and even distributed programming. This introduction to programming places computer science at the core of a liberal arts education. Unlike other introductory books, it focuses on the program design process, presenting program design guidelines that show the reader how to analyze a problem statement, how to formulate concise goals, how to make up examples, how to develop an outline of the solution, how to finish the program, and how to test it. Because learning to design programs is about the study of principles and the acquisition of transferable skills, the text does not use an off-the-shelf industrial language but presents a tailor-made teaching language. For the same reason, it offers DrRacket, a programming environment for novices that supports playful, feedback-oriented learning. The environment grows with readers as they master the material in the book until it supports a full-fledged language for the whole spectrum of programming tasks. This second edition has been completely revised. While the book continues to teach a systematic approach to program design, the second edition introduces different design recipes for interactive programs with graphical interfaces and batch programs. It also enriches its design recipes for functions with numerous new hints. Finally, the teaching languages and their IDE now come with support for images as plain values, testing, event-driven programming, and even distributed programming. |
| maximum profit hackerrank solution: Coffee Break Python Christian Mayer, 2018-09-10 How to learn Python during your coffee break? Coffee Break Python is a new step-by-step system to teach you how to learn Python faster, smarter, and better. You do nothing but solving one practical Python puzzle as you enjoy your morning coffee. Why should you care about puzzle-based learning? Educational research shows that practical low-stake puzzles and tests help you to learn faster, smarter, and better. We used this for coding in Coffee Break Python and our academy Finxter.com. 13,000 online Python students have already improved their coding skills with our unique puzzle-based learning technique: I very much enjoy your Finxter.com website because it has some real meat to the problems. Thank you so much for doing this project! I love it! --David C. Your site is awesome. --Victor A. I found Finxter.com an excellent tool to brush up on my Python skills. I totally love the setup of playing against the questions - such a wonderful idea --Jesper R. Why should you read this book? As you work through Coffee Break Python, your Python expertise will grow--one coffee at a time. It's packed with 50 Python puzzles, 10 practical learning tips, 5 compressed cheat sheets, and 1 new way to measure your coding skills. You will train wildly important Python topics such as Arithmetic operations: integer & float division, and modular arithmetic; Language elements: branching, loops, keywords, and functions; Data structures: integer, float, string, list, set, dictionary, and graph; Sequence operators: indexing, concatenation, slicing, and built-in functions; Function *arguments: default *, arbitrary *, unpacking *, keyword *; Set operations: lambda, filter, map, and intersection functions; and Algorithms: recursion, Fibonacci, matrix search, bubble sort, quick sort, lexicographical sort, guess & check, binary search, and graph traversal. As a bonus, you will track your individual Python coding skill level throughout the book. Who should read this book? You are slightly beyond beginner-level in Python. For example, You have already experience with another programming language--it's time to tackle Python. You are a professional engineer and want to brush up your Python skills. You are a student and need to get better at Python for academic courses. So how do you spend your Coffee Break? Python! |
| maximum profit hackerrank solution: Learn Python 3 the Hard Way Zed A. Shaw, 2017-06-26 You Will Learn Python 3! Zed Shaw has perfected the world’s best system for learning Python 3. Follow it and you will succeed—just like the millions of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Python 3 the Hard Way, you’ll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn how a computer works; what good programs look like; and how to read, write, and think about code. Zed then teaches you even more in 5+ hours of video where he shows you how to break, fix, and debug your code—live, as he’s doing the exercises. Install a complete Python environment Organize and write code Fix and break code Basic mathematics Variables Strings and text Interact with users Work with files Looping and logic Data structures using lists and dictionaries Program design Object-oriented programming Inheritance and composition Modules, classes, and objects Python packaging Automated testing Basic game development Basic web development It’ll be hard at first. But soon, you’ll just get it—and that will feel great! This course will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful, popular programming languages. You’ll be a Python programmer. This Book Is Perfect For Total beginners with zero programming experience Junior developers who know one or two languages Returning professionals who haven’t written code in years Seasoned professionals looking for a fast, simple, crash course in Python 3 |
| maximum profit hackerrank solution: Algorithms, Part II Robert Sedgewick, Kevin Wayne, 2014-02-01 This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the Online Course link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience. |
| maximum profit hackerrank solution: Freelance Newbie RealToughCandy, 2019-02-01 Are you ready to jump-start your freelance career? Freelance Newbie has you covered! In this book, you’ll learn practical, actionable steps you can start using today to get your first client by the end of the week. Featuring all the methods, techniques, tips, tricks, and insights you need to succeed, Freelance Newbie was written by a working freelancer whose mission is to help people like you find personal success and financial independence. The material you’ll read here has never been featured at a lower price — you simply cannot get this kind of value for less. We go through everything step-by-step with real-world examples so you know exactly what you need to do to become a successful freelancer. In Freelance Newbie, you’ll learn how to: :• Develop a business plan from scratch• Establish a suitable work environment • Configure your own freelance website to generate quality leads • Determine what services to offer (and what to do if you don't know how to do something) • Figure out an appropriate pricing scheme for your services • Find “starter” clients that pave the way for 5-star social proof and full-paying, long-term clients • Draft effective proposals and contracts• Advertise for free (or very, very cheaply) • Deliver above-average customer service • Efficiently complete client projects — time runs out FAST • And much, much more! This book can also be used as the perfect companion manual to the video course available on Udemy by RealToughCandy. |
| maximum profit hackerrank solution: Dynamic Programming for Coding Interviews Meenakshi, Kamal Rawat, 2017-01-18 I wanted to compute 80th term of the Fibonacci series. I wrote the rampant recursive function, int fib(int n){ return (1==n || 2==n) ? 1 : fib(n-1) + fib(n-2); } and waited for the result. I wait… and wait… and wait… With an 8GB RAM and an Intel i5 CPU, why is it taking so long? I terminated the process and tried computing the 40th term. It took about a second. I put a check and was shocked to find that the above recursive function was called 204,668,309 times while computing the 40th term. More than 200 million times? Is it reporting function calls or scam of some government? The Dynamic Programming solution computes 100th Fibonacci term in less than fraction of a second, with a single function call, taking linear time and constant extra memory. A recursive solution, usually, neither pass all test cases in a coding competition, nor does it impress the interviewer in an interview of company like Google, Microsoft, etc. The most difficult questions asked in competitions and interviews, are from dynamic programming. This book takes Dynamic Programming head-on. It first explain the concepts with simple examples and then deep dives into complex DP problems. |
| maximum profit hackerrank solution: Wingless Flight R. Dale Reed, Darlene Lister, Much has been written about the famous conflicts and battlegrounds of the East during the American Revolution. Perhaps less familiar, but equally important and exciting, was the war on the western frontier, where Ohio Valley settlers fought for the land they had claimed -- and for their very lives. George Rogers Clark stepped forward to organize the local militias into a united front that would defend the western frontier from Indian attacks. Clark was one of the few people who saw the importance of the West in the war effort as a whole, and he persuaded Virginia's government to lend support to his efforts. As a result Clark was able to cross the Ohio, saving that part of the frontier from further raids. Lowell Harrison captures the excitement of this vital part of American history while giving a complete view of George Rogers Clark's significant achievements. Lowell H. Harrison, is a professor emeritus of history at Western Kentucky University and is the author or co-author of numerous books, including Lincoln of Kentucky, A New History of Kentucky, and Kentucky's Governors. |
| maximum profit hackerrank solution: The Generation Z Guide Ryan Jenkins, 2019-11-26 The Generation Z Guide equips professionals to improve recruitment, enhance engagement, and effectively train and develop the post-Millennial generation. Born after 1998, Generation Z ranges from those entering high school, completing undergraduate college, and starting careers. Generation Z is very different than Millennials and their rapid entrance into the workforce is increasing the complexity of managing and working across generations. In fact, 62 percent of Generation Z anticipate challenges working with Baby Boomers and Generation X. Generation Z has never known a Google-free world. Growing up during the most accelerated and game-changing periods of technological advancements in history has imprinted Generation Z with new behaviors, preferences, and expectations of work, communication, leadership, and much more. The Generation Z Guide's insights are research based and the applications are marketplace tested. Learn from leading companies on how best to attract, engage, and lead Generation Z. |
| maximum profit hackerrank solution: Algorithms Unlocked Thomas H. Cormen, 2013-03-01 For anyone who has ever wondered how computers solve problems, an engagingly written guide for nonexperts to the basics of computer algorithms. Have you ever wondered how your GPS can find the fastest way to your destination, selecting one route from seemingly countless possibilities in mere seconds? How your credit card account number is protected when you make a purchase over the Internet? The answer is algorithms. And how do these mathematical formulations translate themselves into your GPS, your laptop, or your smart phone? This book offers an engagingly written guide to the basics of computer algorithms. In Algorithms Unlocked, Thomas Cormen—coauthor of the leading college textbook on the subject—provides a general explanation, with limited mathematics, of how algorithms enable computers to solve problems. Readers will learn what computer algorithms are, how to describe them, and how to evaluate them. They will discover simple ways to search for information in a computer; methods for rearranging information in a computer into a prescribed order (“sorting”); how to solve basic problems that can be modeled in a computer with a mathematical structure called a “graph” (useful for modeling road networks, dependencies among tasks, and financial relationships); how to solve problems that ask questions about strings of characters such as DNA structures; the basic principles behind cryptography; fundamentals of data compression; and even that there are some problems that no one has figured out how to solve on a computer in a reasonable amount of time. |
| maximum profit hackerrank solution: Quant Job Interview Questions and Answers Mark Joshi, Nick Denson, Nicholas Denson, Andrew Downes, 2013 The quant job market has never been tougher. Extensive preparation is essential. Expanding on the successful first edition, this second edition has been updated to reflect the latest questions asked. It now provides over 300 interview questions taken from actual interviews in the City and Wall Street. Each question comes with a full detailed solution, discussion of what the interviewer is seeking and possible follow-up questions. Topics covered include option pricing, probability, mathematics, numerical algorithms and C++, as well as a discussion of the interview process and the non-technical interview. All three authors have worked as quants and they have done many interviews from both sides of the desk. Mark Joshi has written many papers and books including the very successful introductory textbook, The Concepts and Practice of Mathematical Finance. |
| maximum profit hackerrank solution: Letters to a New Developer Dan Moore, 2020-08-07 Learn what you need to succeed as a developer beyond the code. The lessons in this book will supercharge your career by sharing lessons and mistakes from real developers. Wouldn’t it be nice to learn from others’ career mistakes? “Soft” skills are crucial to success, but are haphazardly picked up on the job or, worse, never learned. Understanding these competencies and how to improve them will make you a more effective team member and a more attractive hire. This book will teach you the key skills you need, including how to ask questions, how and when to use common tools, and how to interact with other team members. Each will be presented in context and from multiple perspectives so you’ll be able to integrate them and apply them to your own career quickly. What You'll Learn Know when the best code is no code Understand what to do in the first month of your job See the surprising number of developers who can’t program Avoid the pitfalls of working alone Who This Book Is For Anyone who is curious about software development as a career choice. You have zero to five years of software development experience and want to learn non-technical skills that can help your career. It is also suitable for teachers and mentors who want to provide guidance to their students and/or mentees. |
| maximum profit hackerrank solution: Guide to Competitive Programming Antti Laaksonen, 2018-01-02 This invaluable textbook presents a comprehensive introduction to modern competitive programming. The text highlights how competitive programming has proven to be an excellent way to learn algorithms, by encouraging the design of algorithms that actually work, stimulating the improvement of programming and debugging skills, and reinforcing the type of thinking required to solve problems in a competitive setting. The book contains many “folklore” algorithm design tricks that are known by experienced competitive programmers, yet which have previously only been formally discussed in online forums and blog posts. Topics and features: reviews the features of the C++ programming language, and describes how to create efficient algorithms that can quickly process large data sets; discusses sorting algorithms and binary search, and examines a selection of data structures of the C++ standard library; introduces the algorithm design technique of dynamic programming, and investigates elementary graph algorithms; covers such advanced algorithm design topics as bit-parallelism and amortized analysis, and presents a focus on efficiently processing array range queries; surveys specialized algorithms for trees, and discusses the mathematical topics that are relevant in competitive programming; examines advanced graph techniques, geometric algorithms, and string techniques; describes a selection of more advanced topics, including square root algorithms and dynamic programming optimization. This easy-to-follow guide is an ideal reference for all students wishing to learn algorithms, and practice for programming contests. Knowledge of the basics of programming is assumed, but previous background in algorithm design or programming contests is not necessary. Due to the broad range of topics covered at various levels of difficulty, this book is suitable for both beginners and more experienced readers. |
| maximum profit hackerrank solution: Python in a Nutshell Alex Martelli, 2006-07-14 This volume offers Python programmers a straightforward guide to the important tools and modules of this open source language. It deals with the most frequently used parts of the standard library as well as the most popular and important third party extensions. |
| maximum profit hackerrank solution: Competitive Programming 2 Steven Halim, Felix Halim, 2011 |
| maximum profit hackerrank solution: Site Reliability Engineering Niall Richard Murphy, Betsy Beyer, Chris Jones, Jennifer Petoff, 2016-03-23 The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization. This book is divided into four sections: Introduction—Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices—Understand the theory and practice of an SRE’s day-to-day work: building and operating large distributed computing systems Management—Explore Google's best practices for training, communication, and meetings that your organization can use |
| maximum profit hackerrank solution: Problem Solving with Algorithms and Data Structures Using Python Bradley N. Miller, David L. Ranum, 2011 Thes book has three key features : fundamental data structures and algorithms; algorithm analysis in terms of Big-O running time in introducied early and applied throught; pytohn is used to facilitates the success in using and mastering data strucutes and algorithms. |
| maximum profit hackerrank solution: Cracking the PM Interview Gayle Laakmann McDowell, Jackie Bavaro, 2013 How many pizzas are delivered in Manhattan? How do you design an alarm clock for the blind? What is your favorite piece of software and why? How would you launch a video rental service in India? This book will teach you how to answer these questions and more. Cracking the PM Interview is a comprehensive book about landing a product management role in a startup or bigger tech company. Learn how the ambiguously-named PM (product manager / program manager) role varies across companies, what experience you need, how to make your existing experience translate, what a great PM resume and cover letter look like, and finally, how to master the interview: estimation questions, behavioral questions, case questions, product questions, technical questions, and the super important pitch. |
| maximum profit hackerrank solution: The Art and Craft of Problem Solving Paul Zeitz, 2017 This text on mathematical problem solving provides a comprehensive outline of problemsolving-ology, concentrating on strategy and tactics. It discusses a number of standard mathematical subjects such as combinatorics and calculus from a problem solver's perspective. |
| maximum profit hackerrank solution: Data Structures Using C Reema Thareja, 2014 This second edition of Data Structures Using C has been developed to provide a comprehensive and consistent coverage of both the abstract concepts of data structures as well as the implementation of these concepts using C language. It begins with a thorough overview of the concepts of C programming followed by introduction of different data structures and methods to analyse the complexity of different algorithms. It then connects these concepts and applies them to the study of various data structures such as arrays, strings, linked lists, stacks, queues, trees, heaps, and graphs. The book utilizes a systematic approach wherein the design of each of the data structures is followed by algorithms of different operations that can be performed on them, and the analysis of these algorithms in terms of their running times. Each chapter includes a variety of end-chapter exercises in the form of MCQs with answers, review questions, and programming exercises to help readers test their knowledge. |
| maximum profit hackerrank solution: Approximation Algorithms Vijay V. Vazirani, 2013-03-14 Covering the basic techniques used in the latest research work, the author consolidates progress made so far, including some very recent and promising results, and conveys the beauty and excitement of work in the field. He gives clear, lucid explanations of key results and ideas, with intuitive proofs, and provides critical examples and numerous illustrations to help elucidate the algorithms. Many of the results presented have been simplified and new insights provided. Of interest to theoretical computer scientists, operations researchers, and discrete mathematicians. |
| maximum profit hackerrank solution: C Programming Greg M. Perry, Dean Miller, 2013 Provides instructions for writing C code to create games and mobile applications using the new C11 standard. |
| maximum profit hackerrank solution: Advances in Smart Vehicular Technology, Transportation, Communication and Applications Yong Zhao, Tsu-Yang Wu, Tang-Hsien Chang, Jeng-Shyang Pan, Lakhmi C. Jain, 2018-11-30 This book highlights papers presented at the Second International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2018), which was held at Mount Emei, Sichuan Province, China from 25 to 28 October 2018. The conference was co-sponsored by Springer, Southwest Jiaotong University, Fujian University of Technology, Chang’an University, Shandong University of Science and Technology, Fujian Provincial Key Lab of Big Data Mining and Applications, and the National Demonstration Center for Experimental Electronic Information and Electrical Technology Education (Fujian University of Technology). The conference was intended as an international forum for researchers and professionals engaged in all areas of smart vehicular technology, vehicular transportation, vehicular communication, and applications. |
| maximum profit hackerrank solution: Algorithms Robert Sedgewick, 1988 Software -- Programming Techniques. |
Maximum Profit Hackerrank Solution (book) - ad.fxsound.com
Maximum Profit Hackerrank Solution: Cracking the Coding Interview Gayle …
Maximum Profit Hackerrank Solution Full PDF
Maximum profit HackerRank solution involves finding the best strategy to maximize the …
1 Rod cutting - Stanford University
First we ask \what is the maximum amount of money we can get?" And later we can …
The Knapsack Problem - Massachusetts Institute of Techno…
The dynamic programming solution to the Knapsack problem requires solving …
1. When using a graphical solution procedure, the region bounded b…
1. When using a graphical solution procedure, the region bounded by the set …
CSE331 Introduction to Algorithms Lecture 18 The Rod-Cutting ... - UN…
Serling Enterprises buys long steel rods and cuts them into shorter rods, which it then …
Lecture 10: The knapsack problem - EPFL
For a given ε>0, our goal is to, find a feasible solution x of the knapsack problem max …
Linear Inequalities and Linear Programming - pirate.shu.edu
Our task is to maximize the profit function = x + y y producing x trick skis and y slalom …
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Maximum Profit Hackerrank Solution: Cracking the Coding Interview Gayle Laakmann McDowell,2011 Now in the 5th edition Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs This book provides 150 Programming
Maximum Profit Hackerrank Solution Full PDF
Maximum profit HackerRank solution involves finding the best strategy to maximize the profit from a given set of stock prices. This problem often involves determining the optimal buying and selling
1 Rod cutting - Stanford University
First we ask \what is the maximum amount of money we can get?" And later we can extend the algorithm to give us the actual rod decomposition that leads to that maximum value.
The Knapsack Problem - Massachusetts Institute of Technology
The dynamic programming solution to the Knapsack problem requires solving O(nS)sub-problems. The solution of one sub-problem depends on two other sub-problems, so it can be computed in O(1) time.
1. When using a graphical solution procedure, the region …
1. When using a graphical solution procedure, the region bounded by the set of constraints is called the a. solution. b. feasible region. c. infeasible region. d. maximum profit region. e. none of the above. 2. In an LP problem, at least one corner point must be an optimal solution if an optimal solution exists. a. True b. False 3.
CSE331 Introduction to Algorithms Lecture 18 The Rod-Cutting
Serling Enterprises buys long steel rods and cuts them into shorter rods, which it then sells. The price of a rod depends on its length, which is supposed to be an integer. The goal is to maximize the total price of the rods obtained from a rod of length n, given the values pi for i = 1; 2; : : : n. n = 8, using prices pi from the table above.
Lecture 10: The knapsack problem - EPFL
For a given ε>0, our goal is to, find a feasible solution x of the knapsack problem max pTx s.t.aTx ≤K (I) i =1,...,n : xi ∈ {0,1} so that (1+ε)pTx ≥ pTx for every feasible x. We also want the algorithm to be polynomial in 1 ε and n. This is possible to achieve as follows. Suppose that 2ℓ−1
Linear Inequalities and Linear Programming - pirate.shu.edu
Our task is to maximize the profit function = x + y y producing x trick skis and y slalom skis, but use only values of x and y that are within the yellow region graphed in the next slide.
HackerRank Coding Problems with Explanation - FreshersNow.Com
Paths have been explored and one passenger is collected. Int : maximum number of passengers that can be collected. Problem Statement -: A company has a list of jobs to perform. Each job has a start time, end time and profit value. The manager has asked his …
Module-3: Greedy Method - acsce.edu.in
The greedy approach suggests constructing a solution through a sequence of steps, each expanding a partially constructed solution obtained so far, until a complete solution to the problem is reached. On each step the choice made must be: feasible, i.e., it …
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Maximum Profit Hackerrank Solution: Cracking the Coding Interview Gayle Laakmann McDowell,2011 Now in the 5th edition Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs This book provides 150 Programming
EC9D3 Advanced Microeconomics, Part I: Lecture 5 - The …
Given the cost function, find the profit maximizing output level. Step 1 is common to firms that behave competitively in the input market but not necessarily in the output market. In step 2 we impose the competitive assumption on the output market.
IV. Divide-and-Conquer Algorithms - UC Davis
Conquer by the two recursive calls to MaxSubarray. and a call to MaxXingSubarray Combine by determining which of the three results gives the maximum sum. Base case is when the subarray has only 1 element.
Chapter 5 Linear Programming 5 LINEAR PROGRAMMING - CIMT
If the profit on type A circuits is £5 and that on type B circuits is £12, how many of each circuit should be produced in order to maximise the profit? You will not actually solve this problem yet, but show how it can be formulated as a linear programming problem. There are three vital stages in the formulation, namely (a) What are the unknowns?
Unit 1 Lesson 20 :Solving Assignment problem - Business …
Some assignment problems entail maximizing the profit, effectiveness, or layoff of an assignment of persons to tasks or of jobs to machines. The Hungarian Method can also solve such problems, as it is easy to obtain an equivalent minimization problem by converting every number in the matrix to an opportunity loss.
cs473: Algorithms Lecture 4: Dynamic Programming
The maximum independent set (MIS) problem is to, given a undirected (simple) graph G = (V , E) output the size of the largest independent set in G. That is, output α(G) := max |S| .
Lectures 6 and 7: Merge-sort and Maximum Subarray Problem
Divide and Conquer Algorithm for Maximum Subarray Divide and Conquer: Compute maximum subarrays in left and right halves of initial array A = L R Combine: Given maximum subarrays in L and R, we need to compute maximum subarray in A Three cases: 1 Maximum subarray is entirely included in L X 2 Maximum subarray is entirely included in R X
0-1 knapsack problem revisited - UC Davis
0-1 knapsack problem revisited I De ne c[i;w] = value of an optimal solution for items f1;:::;ig and maximum weight w. I Then we have the following two cases for the item i>0: I Case 1 (w i >w): the weight of item iis larger than the weight limit w, then item icannot be included, and
Business and Economic ApplicationsAppendix F F1 121 F
To find the maximum profit in Example 5, the profit function, P = R − C, was differentiated and set equal to 0. From the equation dP dx = dR dx − dC dx = 0 it follows that the maximum profit occurs when the marginal revenue is equal to the marginal cost, as …
Lecture Notes on Design and Analysis of Algorithms 18CS42
Problem: Find solution generated by job sequencing problem with deadlines for 7 jobs given profits 3, 5, 20, 18, 1, 6, 30 and deadlines 1, 3, 4, 3, 2, 1, 2 respectively. Solution: Given
