Cracking The Coding Interview 6th Edition
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Cracking The Coding Interview 6th Edition
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Author : Gayle Laakmann McDowell
language : en
Publisher:
Release Date : 2015-10-23
Cracking The Coding Interview 6th Edition written by Gayle Laakmann McDowell and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-23 with categories.
Cracking The Coding Interview
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Author : Gayle Laakmann McDowell
language : en
Publisher: Careercup
Release Date : 2015
Cracking The Coding Interview written by Gayle Laakmann McDowell and has been published by Careercup this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Business & Economics categories.
Now in the 6th edition, the book gives you the interview preparation you need to get the top software developer jobs. This is a deeply technical book and focuses on the software engineering skills to ace your interview. The book includes 189 programming interview questions and answers, as well as other advice.
Data Structures And Algorithms With Python
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Author : Aadinath Pothuvaal
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Data Structures And Algorithms With Python written by Aadinath Pothuvaal and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.
"Dive into the Heart of Pythonic Algorithms and Data Structures" offers a comprehensive guide designed to empower both beginners and seasoned developers. Whether you're mastering the foundations of computer science or enhancing your problem-solving skills, this book provides a roadmap through the intricacies of efficient data organization and algorithmic prowess. We introduce the versatility of Python, setting the stage for an exploration of various data structures, including arrays, linked lists, stacks, queues, trees, and graphs. Each chapter presents practical examples and Python code snippets for easy comprehension and application. As the journey progresses, we shift focus to algorithms, covering sorting techniques, searching methods, and dynamic programming. Real-world applications and case studies bridge the gap between theory and practical implementation, reinforcing each algorithm's relevance in solving tangible problems. The book emphasizes a hands-on approach, encouraging active engagement with Python code and algorithms. Whether you're preparing for coding interviews, building scalable software, or honing your programming skills, this book equips you with the knowledge and confidence to navigate the challenging terrain of Data Structures and Algorithms using Python.
The Software Arts
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Author : Warren Sack
language : en
Publisher: MIT Press
Release Date : 2019-04-09
The Software Arts written by Warren Sack and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-09 with Computers categories.
An alternative history of software that places the liberal arts at the very center of software's evolution. In The Software Arts, Warren Sack offers an alternative history of computing that places the arts at the very center of software's evolution. Tracing the origins of software to eighteenth-century French encyclopedists' step-by-step descriptions of how things were made in the workshops of artists and artisans, Sack shows that programming languages are the offspring of an effort to describe the mechanical arts in the language of the liberal arts. Sack offers a reading of the texts of computing—code, algorithms, and technical papers—that emphasizes continuity between prose and programs. He translates concepts and categories from the liberal and mechanical arts—including logic, rhetoric, grammar, learning, algorithm, language, and simulation—into terms of computer science and then considers their further translation into popular culture, where they circulate as forms of digital life. He considers, among other topics, the “arithmetization” of knowledge that presaged digitization; today's multitude of logics; the history of demonstration, from deduction to newer forms of persuasion; and the post-Chomsky absence of meaning in grammar. With The Software Arts, Sack invites artists and humanists to see how their ideas are at the root of software and invites computer scientists to envision themselves as artists and humanists.
6th Edition Coding Programming Interview
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Author : Marih Nick
language : en
Publisher: Zed Publishing; 6th Edition
Release Date : 2023-02-13
6th Edition Coding Programming Interview written by Marih Nick and has been published by Zed Publishing; 6th Edition this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-13 with categories.
I am not a recruiter. I am a software engineer. And as such, I know what it's like to be asked to whip up brilliant algorithms on the spot and then write flawless code on a whiteboard. I've been through this as a candidate and as an interviewer. Cracking the Coding Interview, 6th Edition is here to help you through this process, teaching you what you need to know and enabling you to perform at your very best. I've coached and interviewed hundreds of software engineers. The result is this book. Learn how to uncover the hints and hidden details in a question, discover how to break down a problem into manageable chunks, develop techniques to unstick yourself when stuck, learn (or re-learn) core computer science concepts, and practice on 189 interview questions and solutions. These interview questions are real; they are not pulled out of computer science textbooks. They reflect what's truly being asked at the top companies, so that you can be as prepared as possible. WHAT'S INSIDE? 189 programming interview questions, ranging from the basics to the trickiest algorithm problems. A walk-through of how to derive each solution, so that you can learn how to get there yourself. Hints on how to solve each of the 189 questions, just like what you would get in a real interview. Five proven strategies to tackle algorithm questions, so that you can solve questions you haven't seen. Extensive coverage of essential topics, such as big O time, data structures, and core algorithms. A behind the scenes look at how top companies like Google and Facebook hire developers. Techniques to prepare for and ace the soft side of the interview: behavioral questions. For interviewers and companies: details on what makes a good interview question and hiring process. Illustrations noteIllustrations: Illustrations, black and white
Managing The Drug Discovery Process
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Author : Susan Miller
language : en
Publisher: Elsevier
Release Date : 2023-03-09
Managing The Drug Discovery Process written by Susan Miller and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-09 with Medical categories.
Managing the Drug Discovery Process, Second Edition thoroughly examines the current state of pharmaceutical research and development by providing experienced perspectives on biomedical research, drug hunting and innovation, including the requisite educational paths that enable students to chart a career path in this field. The book also considers the interplay of stakeholders, consumers, and drug firms with respect to a myriad of factors. Since drug research can be a high-risk, high-payoff industry, it is important to students and researchers to understand how to effectively and strategically manage both their careers and the drug discovery process. This new edition takes a closer look at the challenges and opportunities for new medicines and examines not only the current research milieu that will deliver novel therapies, but also how the latest discoveries can be deployed to ensure a robust healthcare and pharmacoeconomic future. All chapters have been revised and expanded with new discussions on remarkable advances including CRISPR and the latest gene therapies, RNA-based technologies being deployed as vaccines as well as therapeutics, checkpoint inhibitors and CAR-T approaches that cure cancer, diagnostics and medical devices, entrepreneurship, and AI. Written in an engaging manner and including memorable insights, this book is aimed at anyone interested in helping to save countless more lives through science. A valuable and compelling resource, this is a must-read for all students, educators, practitioners, and researchers at large—indeed, anyone who touches this critical sphere of global impact—in and around academia and the biotechnology/pharmaceutical industry. - Considers drug discovery in multiple R&D venues - big pharma, large biotech, start-up ventures, academia, and nonprofit research institutes - with a clear description of the degrees and training that will prepare students well for a career in this arena - Analyzes the organization of pharmaceutical R&D, taking into account human resources considerations like recruitment and configuration, management of discovery and development processes, and the coordination of internal research within, and beyond, the organization, including outsourced work - Presents a consistent, well-connected, and logical dialogue that readers will find both comprehensive and approachable - Addresses new areas such as CRISPR gene editing technologies and RNA-based drugs and vaccines, personalized medicine and ethical and moral issues, AI/machine learning and other in silico approaches, as well as completely updating all chapters
Big Jobs Guide
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Author : Rachel Levy
language : en
Publisher: SIAM
Release Date : 2018-06-29
Big Jobs Guide written by Rachel Levy and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-29 with Mathematics categories.
Jobs using mathematics, statistics, and operations research are projected to grow by almost 30% over the next decade. BIG Jobs Guide helps job seekers at every stage of their careers in these fields explore opportunities in business, industry, and government (BIG). Written in a conversational and practical tone, BIG Jobs Guide offers insight on topics such as: - What skills can I offer employers? - How do I write a high-impact r?esume? - Where can I find a rewarding internship? - What kinds of jobs are out there for me? The Guide also offers insights to advisors and mentors on topics such as how departments can help students get BIG jobs and how faculty members and internship mentors can build institutional relationships. Whether you're an undergraduate or graduate student or a job seeker in mathematics, statistics, or operations research, this hands-on book will help you reach your goal?landing an internship, getting your first job or transitioning to a new one.
Cool Careers Without College For People Who Love Coding
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Author : Asher Powell
language : en
Publisher: The Rosen Publishing Group, Inc
Release Date : 2017-07-15
Cool Careers Without College For People Who Love Coding written by Asher Powell and has been published by The Rosen Publishing Group, Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-15 with Juvenile Nonfiction categories.
This comprehensive career guide helps readers take a close look at coding as a career path and gives them a long, actionable list for turning their interests into a career across a variety of fields. Whether a student is interested in games, engineering, design, or systems administration, each career path comes with a detailed list of resources and first-person accounts from professionals in the field. This guide is all a coding enthusiast needs to get started planning and building a career, all without having to worry about student loans.
Elements Of Statistical Learning
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Author : Swarnalata Verma
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Elements Of Statistical Learning written by Swarnalata Verma and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.
"Elements of Statistical Learning" stands out as a comprehensive resource for both students and professionals in the field of data science and statistical learning. With clear and concise explanations, real-world examples, and practical insights, this book caters to a wide audience, from beginners to experienced practitioners. We offer a structured approach to understanding statistical learning, starting with fundamental concepts and guiding readers through various techniques and algorithms. Topics include data structures, sorting and searching algorithms, graph and tree algorithms, and dynamic programming. What sets "Elements of Statistical Learning" apart is its emphasis on practical application. Each chapter presents theoretical concepts and provides implementation guidelines, discussing the efficiency and effectiveness of different algorithms in solving real-world problems. This approach equips readers to tackle challenges in academic pursuits, technical interviews, or professional projects. The book's extensive coverage ensures it remains relevant in today's evolving landscape of data science and technology. Whether interested in software engineering, data science, artificial intelligence, or related fields, "Elements of Statistical Learning" offers timeless insights and guidance in statistical learning and analysis.
The Data Science Handbook
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Author : Field Cady
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-09
The Data Science Handbook written by Field Cady and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-09 with Computers categories.
Practical, accessible guide to becoming a data scientist, updated to include the latest advances in data science and related fields. Becoming a data scientist is hard. The job focuses on mathematical tools, but also demands fluency with software engineering, understanding of a business situation, and deep understanding of the data itself. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. The focus of The Data Science Handbook is on practical applications and the ability to solve real problems, rather than theoretical formalisms that are rarely needed in practice. Among its key points are: Readers of the third edition of Construction Graphics will also find: An emphasis on software engineering and coding skills, which play a significant role in most real data science problems. Extensive sample code, detailed discussions of important libraries, and a solid grounding in core concepts from computer science (computer architecture, runtime complexity, programming paradigms, etc.) A broad overview of important mathematical tools, including classical techniques in statistics, stochastic modeling, regression, numerical optimization, and more. Extensive tips about the practical realities of working as a data scientist, including understanding related jobs functions, project life cycles, and the varying roles of data science in an organization. Exactly the right amount of theory. A solid conceptual foundation is required for fitting the right model to a business problem, understanding a tool's limitations, and reasoning about discoveries. Data science is a quickly evolving field, and the 2nd edition has been updated to reflect the latest developments, including the revolution in AI that has come from Large Language Models and the growth of ML Engineering as its own discipline. Much of data science has become a skillset that anybody can have, making this book not only for aspiring data scientists, but also for professionals in other fields who want to use analytics as a force multiplier in their organization.