Elements Of Programming Interviews In Python PDF Download

Elements of Programming Interviews in Python PDF
Author: Adnan Aziz
Publisher: EPI
ISBN:
Size: 53.65 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages :
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Elements Of Programming Interviews In Python Book Description:

Have you ever... - Wanted to work at an exciting futuristic company? - Struggled with an interview problem that could have been solved in 15 minutes? - Wished you could study real-world computing problems? If so, you need to read Elements of Programming Interviews (EPI). EPI is your comprehensive guide to interviewing for software development roles. The core of EPI is a collection of over 250 problems with detailed solutions. The problems are representative of interview questions asked at leading software companies. The problems are illustrated with 200 figures, 300 tested programs, and 150 additional variants. The book begins with a summary of the nontechnical aspects of interviewing, such as strategies for a great interview, common mistakes, perspectives from the other side of the table, tips on negotiating the best offer, and a guide to the best ways to use EPI. We also provide a summary of data structures, algorithms, and problem solving patterns. Coding problems are presented through a series of chapters on basic and advanced data structures, searching, sorting, algorithm design principles, and concurrency. Each chapter stars with a brief introduction, a case study, top tips, and a review of the most important library methods. This is followed by a broad and thought-provoking set of problems. A practical, fun approach to computer science fundamentals, as seen through the lens of common programming interview questions. Jeff Atwood/Co-founder, Stack Overflow and Discourse

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Author: Мігай Чиксентмігаї
Publisher: Family Leisure Club
ISBN: 6171238201
Size: 51.74 MB
Format: PDF, Docs
Category :
Languages : uk
Pages :
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Book Description:

Мігай Чиксентмігаї — відомий американський психолог та почесний професор Клермонтського університету, член Американської академії освіти, Американської академії наук та мистецтв і Національної академії досліджень дозвілля. Автор близько 20 книжок і понад 120 статей про творчість і щастя, він зробив неоціненний внесок у розвиток сучасної психології, досліджуючи такі незвичайні теми, як щастя, креативність та особисте благополуччя. Що робить людей щасливими? Як повністю реалізувати свій потенціал і досягти внутрішньої гармонії? Автор відповідає на обидва запитання, причому вельми нетривіально. Спираючись на численні дослідження, він стверджує, що відчуття щастя дає людині так зване переживання потоку — радості, творчості, цілковитої зануреності в життя, реалізації свого потенціалу. І воно доступне кожному з нас… Переконайтеся, що бути щасливим легко, — та станьте одним з таких!

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Author: Натаніель Готорн
Publisher: Litres
ISBN: 5041970084
Size: 21.95 MB
Format: PDF, Mobi
Category : Fiction
Languages : uk
Pages :
View: 384

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Book Description:

«Червона літера» – перший американський роман, що став бестселером у Європі. У досконалому за формою творі Натаніель Готорн наочно відтворив духовне обличчя своїх предків-пуритан, що жили в середині XVII століття, і викрив їхню сувору і похмуру нетерпимість, жорстокість, збочені уявлення про гріх, справедливість і кохання. Історія подружньої зради перетворилася на потужну драму, з якої героїня, зазнавши жорстоких випробувань, виходить перевтіленою, але без каяття, бо її зігріває думка про те, що вчинене нею заради справжнього почуття. «Червону літеру» цькували в США, де ортодокси вважали роман за «пропаганду похоті й незаконних стосунків», однак це тільки сприяло його популярності.

Basics Of Python Programming PDF Download

Basics of Python Programming PDF
Author: Dr. Pratiyush Guleria
Publisher: BPB Publications
ISBN: 9388511808
Size: 55.84 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 94
View: 1356

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Basics Of Python Programming Book Description:

Learn a Programmer-Friendly language KEY FEATURES Strengthens the foundations, as a detailed explanation of programming language concepts are given in a simple manner Lists down all the important points that you need to know related to various topics in an organized manner Prepares you for coding related interview and theoretical questions Provides an in-depth explanation of complex topics and Questions It focuses on how to think logically to solve a problem Follows a systematic approach that will help you to prepare for an interview in a short duration of time Exercises are exceptionally useful to complete the reader’s understanding of a topic DESCRIPTION Book will come as a relief to the students wishing to go through a comprehensive work explaining the programming concepts of Python. Examples are given with proper description, offering a variety of practical examples and conceptual problems along with their systematically worked out solutions. It also covers all the concepts which are helpful for the students and beginners to learn the basics of Python programming. WHAT WILL YOU LEARN This book is written, taking into consideration the skills required at the beginner level for understanding Python Programming Concepts. The book covers the practical examples of Python in an easy way so that students can able to understand efficiently. WHO THIS BOOK IS FOR Book promises to be a perfect starting point for beginners and an asset for those having insight towards programming. Table of Contents 1. Introduction 2. Conditions and Loops 3. Arrays and Functions 4. Lists, Tuples, Iterators and GeneratorsDictionaries and Modules 5. File Handling and Databases 6. Object-Oriented Programming 7. Regular Expressions, Date, and Time 8. Exception Handling 9. Practice Exercise

Quick Revision Of Python Programming PDF Download

Quick Revision of Python programming PDF
Author: Mahesh Sambhaji Jadhav
Publisher: HighTechEasy Publishing
ISBN:
Size: 30.96 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 100
View: 673

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Quick Revision Of Python Programming Book Description:

Revise Python programming concepts and skill quickly and user friendly way. Python programming concepts and syntax from images. Easy to learn and quick to understand. Lots of real life programs along with output screenshot. Logic box explains logic of each program. Helpful for revision before exam or interview.

Programming Interviews Exposed PDF Download

Programming Interviews Exposed PDF
Author: John Mongan
Publisher: John Wiley & Sons
ISBN: 1118283406
Size: 40.50 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 336
View: 1495

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Programming Interviews Exposed Book Description:

Be prepared for your next job interview with this tried-and-true advice In today's tight job market, competition for programming jobs is hotter than ever. This third edition of a popular guide to programming interviews includes new code examples, information on the latest languages, new chapters on sorting and design patterns, tips on using LinkedIn, and a downloadable app to help prepare applicants for the interview. Like its earlier editions, this guide covers what software companies and IT departments want their programmers to know and includes plenty of helpful hints to boost your confidence. Looks at current job search and hiring processes, such as the rise of LinkedIn and other social networks as recruiting resources Addresses the most important languages for a programmer to know and features examples in multiple languages Includes new programming questions designed to sharpen your knowledge Features all-new chapters on design patterns and sorting, including how to deal with memory constraints and mobility issues Walk into your next job interview with confidence, knowing you have thoroughly studied this newest edition of Programming Interviews Exposed.

1000 Python Interview Questions And Answers PDF Download

1000 Python Interview Questions and Answers PDF
Author: Vamsee Puligadda
Publisher: Vamsee Puligadda
ISBN:
Size: 22.36 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages :
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1000 Python Interview Questions And Answers Book Description:

Knowledge for Free... Get that job, you aspire for! Want to switch to that high paying job? Or are you already been preparing hard to give interview the next weekend? Do you know how many people get rejected in interviews by preparing only concepts but not focusing on actually which questions will be asked in the interview? Don't be that person this time. This is the most comprehensive Python language interview questions book that you can ever find out. It contains: 1000 most frequently asked and important PYTHON interview questions and answers Wide range of questions which cover not only basics in Python Language but also most advanced and complex questions which will help freshers, experienced professionals, senior developers, testers to crack their interviews.

Let Us Python Second Edition PDF Download

Let Us Python  Second Edition  PDF
Author: Yashavant Kanetkar
Publisher: BPB Publications
ISBN: 9389845009
Size: 65.79 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 359
View: 3584

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Let Us Python Second Edition Book Description:

Learn Python Quickly, A Programmer-Friendly Guide DESCRIPTION Most Programmer’s learning Python are usually comfortable with some or the other programming language and are not interested in going through the typical learning curve of learning the first programming language. Instead, they are looking for something that can get them off the ground quickly. They are looking for similarities and differences in a feature that they have used in other language(s). This book should help them immediately. It guides you from the fundamentals of using module through the use of advanced object orientation. KEY FEATURES Strengthens the foundations, as detailed explanation of programming language concepts are given in simple manner. Lists down all the important points that you need to know related to various topics in an organized manner. Prepares you for coding related interview and theoretical questions. Provides In depth explanation of complex topics and Questions. Focuses on how to think logically to solve a problem. Follows a systematic approach that will help you to prepare for an interview in short duration of time. Exercises are exceptionally useful to complete the reader’s understanding of a topic. WHAT WILL YOU LEARN Data types, Control flow instructions, console & File Input/Output Strings, list & tuples, List comprehension Sets & Dictionaries, Functions & Lambdas Dictionary Comprehension Modules, classes and objects, Inheritance Operator overloading, Exception handling Iterators & Generators, Decorators, Command-line Parsing WHO THIS BOOK IS FOR Students, Programmers, researchers, and software developers who wish to learn the basics of Python programming language. Table of Contents 1. Introduction to Python 2. Python Basics 3. Strings 4. Decision Control Instruction 5. Repetition Control Instruction 6. Console Input/Output 7. Lists 8. Tuples 9. Sets 10. Dictionaries 11. Comprehensions 12. Functions 13. Recursion 14. Functional Programming 15. Modules and Packages 16. Namespaces 17. Classes and Objects 18. Intricacies of Classes and Objects 19. Containership and Inheritance 20. Iterators and Generators 21. Exception Handling 22. File Input/Output 23. Miscellany 24. Multi-threading 25. Synchronization

Algorithm Design Techniques PDF Download

Algorithm Design Techniques PDF
Author: Narasimha Karumanchi
Publisher: Careermonk Publications
ISBN: 9788193245255
Size: 33.22 MB
Format: PDF, Kindle
Category :
Languages : en
Pages : 552
View: 2720

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Algorithm Design Techniques Book Description:

Algorithm Design Techniques: Recursion, Backtracking, Greedy, Divide and Conquer, and Dynamic Programming Algorithm Design Techniques is a detailed, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. What's Inside Enumeration of possible solutions for the problems. Performance trade-offs (time and space complexities) between the algorithms. Covers interview questions on data structures and algorithms. All the concepts are discussed in a lucid, easy to understand manner. Interview questions collected from the actual interviews of various software companies will help the students to be successful in their campus interviews. Python-based code samples were given the book.

Data Science With Machine Learning PDF Download

Data Science with Machine Learning PDF
Author: Vishwanathan Narayanan
Publisher: BPB Publications
ISBN: 9388176634
Size: 51.81 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 144
View: 1851

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Data Science With Machine Learning Book Description:

For beginners to level up Core Programming Skills DESCRIPTION The book “Data science with Machine learning- Python interview questions” is a true companion of people aspiring for data science and machine learning and provides answers to mostly asked questions in a easy to remember and presentable form. Data science is one of the hottest topics mainly because of the application areas it is involved and things which were once upon of time, impossible with earlier software has been made easy. This book is mainly intended to be used as last-minute revision, before interview, as all the important concepts have been given in simple and understand format. Many examples have been provided so that same can be used while giving answers in interview. This book tries to include various terminologies and logic used both as a part of Data Science and Machine learning for last minute revision. As such you can say that this book acts as a companion whenever you want to go for interview. Simple to use words have been used in the answers for the questions to help ease of remembering and representation of same. Examples where ever deemed necessary have been provided so that same can be used while giving answers in interview. Author tried to consolidate whatever he came across, on multiple interviews that he attended and put the same in words so that it becomes easy for the reader of the book to give direction on how the interview would be. With the number of data science jobs increasing, Author is sure that everyone who wants to pursue this field would like to keep this book as a constant companion. DESCRIPTION The book “Data science with Machine learning- Python interview questions” is a true companion of people aspiring for data science and machine learning and provides answers to mostly asked questions in a easy to remember and presentable form. Data science is one of the hottest topics mainly because of the application areas it is involved and things which were once upon of time, impossible with earlier software has been made easy. This book is mainly intended to be used as last-minute revision, before interview, as all the important concepts have been given in simple and understand format. Many examples have been provided so that same can be used while giving answers in interview. This book tries to include various terminologies and logic used both as a part of Data Science and Machine learning for last minute revision. As such you can say that this book acts as a companion whenever you want to go for interview. Simple to use words have been used in the answers for the questions to help ease of remembering and representation of same. Examples where ever deemed necessary have been provided so that same can be used while giving answers in interview. Author tried to consolidate whatever he came across, on multiple interviews that he attended and put the same in words so that it becomes easy for the reader of the book to give direction on how the interview would be. With the number of data science jobs increasing, Author is sure that everyone who wants to pursue this field would like to keep this book as a constant companion. DESCRIPTION The book “Data science with Machine learning- Python interview questions” is a true companion of people aspiring for data science and machine learning and provides answers to mostly asked questions in a easy to remember and presentable form. Data science is one of the hottest topics mainly because of the application areas it is involved and things which were once upon of time, impossible with earlier software has been made easy. This book is mainly intended to be used as last-minute revision, before interview, as all the important concepts have been given in simple and understand format. Many examples have been provided so that same can be used while giving answers in interview. This book tries to include various terminologies and logic used both as a part of Data Science and Machine learning for last minute revision. As such you can say that this book acts as a companion whenever you want to go for interview. Simple to use words have been used in the answers for the questions to help ease of remembering and representation of same. Examples where ever deemed necessary have been provided so that same can be used while giving answers in interview. Author tried to consolidate whatever he came across, on multiple interviews that he attended and put the same in words so that it becomes easy for the reader of the book to give direction on how the interview would be. With the number of data science jobs increasing, Author is sure that everyone who wants to pursue this field would like to keep this book as a constant companion. DESCRIPTION The book “Data science with Machine learning- Python interview questions” is a true companion of people aspiring for data science and machine learning and provides answers to mostly asked questions in a easy to remember and presentable form. Data science is one of the hottest topics mainly because of the application areas it is involved and things which were once upon of time, impossible with earlier software has been made easy. This book is mainly intended to be used as last-minute revision, before interview, as all the important concepts have been given in simple and understand format. Many examples have been provided so that same can be used while giving answers in interview. This book tries to include various terminologies and logic used both as a part of Data Science and Machine learning for last minute revision. As such you can say that this book acts as a companion whenever you want to go for interview. Simple to use words have been used in the answers for the questions to help ease of remembering and representation of same. Examples where ever deemed necessary have been provided so that same can be used while giving answers in interview. Author tried to consolidate whatever he came across, on multiple interviews that he attended and put the same in words so that it becomes easy for the reader of the book to give direction on how the interview would be. With the number of data science jobs increasing, Author is sure that everyone who wants to pursue this field would like to keep this book as a constant companion. KEY FEATURES Easy to learn, step by step explanation of examples. Questions related to core/basic Python, Excel, basic and advanced statistics are included. Covers numpy, scipy, sklearn and pandas to a greater detail with good number of examples WHAT WILL YOU LEARN You can learn the basic concept and terms related to Data Science You will get to learn how to program in python You can learn the basic questions of python programming By reading this book you can get to know the basics of Numpy You will get familiarity with the questions asked in interview related to Pandas. You will learn the concepts of Scipy, Matplotib, and Statistics with Excel Sheet WHO THIS BOOK IS FOR The book is intended for anyone wish to learn Python Data Science, Numpy, Pandas, Scipy, Matplotib and Statistics with Excel Sheet. This book content also covers the basic questions which are asked during an interview. This book is mainly intended to help people represent their answer in a sensible way to the interviewer. The answers have been carefully rendered in a way to make things quite simple and yet represent the seriousness and complexity of matter. Since data science is incomplete without mathematics we have also included a part of the book dedicated to statistics. Table of Contents 1. Data Science Basic Questions and Terms 2. Python Programming Questions 3. Numpy Interview Questions 4. Pandas Interview Questions 5. Scipy and its Applications 6. Matplotlib Samples to Remember 7. Statistics with Excel Sheet