How well do you know Python threads? The threading module provides thread-based concurrency in Python and few developers know about it, let alone, how to use it well. The main reason is because it is wily thought that Python does not support threads because of the Global Interpreter Lock (GIL). This is false. In fact, threads remain the best approach to achieve concurrency for IO-bound tasks. * Do you know how to start a thread? * Do you know how to use mutex locks with Python threads? * Do you know how to identify a race condition? Discover 120 interview questions on Python threading. * Study the questions and answers and improve your skill. * Test yourself to see what you really know, and what you don't. * Select questions to interview developers on a new role. Prepare for an interview or test your Python threading skills today.
How well do you know Python multiprocessing? The multiprocessing module provides process-based concurrency in Python and few developers know about it, let alone, how to use it well. The main reason is because it is widely thought that Python does not fully support concurrency. This is false. In fact, processes provide the best path to full parallelism in Python for CPU-bound tasks. * Do you know how to start a new process? * Do you know how to use mutex locks with Python processes? * Do you know how to use a manager or a pool? Discover 180+ interview questions on Python multiprocessing. * Study the questions and answers and improve your skill. * Test yourself to see what you really know, and what you don't. * Select questions to interview developers on a new role. Prepare for an interview or test your Python multiprocessing skills today.
How well do you know the ThreadPoolExecutor and ProcessPoolExecutor in Python? The concurrent.futures module provides the ability to launch parallel and concurrent tasks in Python using thread and process-based concurrency. Importantly, the ThreadPoolExecutor and ProcessPoolExecutor offer the same modern interface with asynchronous tasks, Future objects, and the ability to wait on groups of tasks. The concurrent.futures module with the ThreadPoolExecutor and ProcessPoolExecutor classes offers the best way to execute ad hoc tasks concurrently in Python, and few developers know about it, let alone how to use it well. * Do you know how to handle task results in the order tasks finish? * Do you know how to wait for the first task to fail? * Do you know how many workers are created by default? Discover 130+ interview questions and their answers on the concurrent.futures module. * Study the questions and answers and improve your skill. * Test yourself to see what you really know, and what you don't. * Select questions to interview developers on a new role. Prepare for an interview or test your ThreadPoolExecutor and ProcessPoolExecutor skills in Python today.
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.
How well do you know asyncio in Python? Python includes changes to the language itself to support coroutines as first-class objects and the asyncio module provides an API for developing asynchronous programs. Asyncio is challenging to learn for beginners and challenging to use for experts and beginners alike. Asynchronous programming is an alternative paradigm that is quite different from the classical imperative and object-oriented programming paradigms that we are useful. * Do you know how to cancel an asynchronous task? * Do you know how to execute a list of coroutines concurrently? * Do you know how to execute blocking calls in an asyncio program? Discover 150+ interview questions and their answers on Python asyncio. * Study the questions and answers and improve your skill. * Test yourself to see what you really know, and what you don't. * Select questions to interview developers on a new role. Prepare for an interview or test your asyncio and coroutine skills in Python today.
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."
Unlock your coding potential with Python! KEY FEATURES ● Master Python basics to job-ready skills, all within one comprehensive guide. ● Understand emerging trends and the future of Python programming. ● Understand through interactive exercises, practical case studies, and ready-to-run code examples. DESCRIPTION This book introduces Python, a flexible programming language. Master the fundamentals, then leverage Python's capabilities to solve problems, automate tasks, and bring your ideas to life. In today's tech-driven world, Python transforms you into a creator, not just a consumer. This comprehensive guide equips you with the fundamentals of Python programming, from installing it and setting up your environment to mastering core concepts like variables, data structures, functions, and object-oriented programming (OOP). Explore Python's standard library modules for common tasks like file handling and delve into writing clean Pythonic code using advanced techniques like list comprehensions. This book also covers optional advanced topics like concurrency, networking, and data science applications. Further, you will be able to ensure code quality with testing and debugging techniques mentioned in the book, and learn the best practices for a professional setup (PEP 8). Finally, apply your Python skills by building real-world projects, and prepare for Python developer interviews with confidence. With its clear explanations, technical accuracy, and focus on best practices, this book is your one-stop shop for mastering Python and unlocking its vast potential. WHAT YOU WILL LEARN ● Master Python basics by understanding variables, data types, and operators. ● Enhance your problem-solving abilities by employing loops, conditionals, and algorithms. ● Hands-on coding experiences, constructing practical projects such as calculators and games. ● Data exploration by analyzing data sets, visualizing trends, and making informed decisions. ● Join the Python community to collaborate, share, and contribute to open-source projects. WHO THIS BOOK IS FOR This book is ideal for aspiring learners, professionals transitioning to Python, curious researchers, and students. No prior knowledge of Python is required. TABLE OF CONTENTS 1. Introduction to Python 2. Python Basics 3. Data Structures 4. Functions 5. Object-oriented Programming 6. File Handling 7. Modules and Packages 8. Python's Standard Library and Third-party Libraries 9. Pythonic Programming 10. Advanced Topics in Python 11. Testing and Debugging 12. Best Practices and Coding Standards 13. Building Real-world Applications 14. Python's Future and Trends 15. Hands-on Python Programming 16. Python Interview Preparation: Beginners 17. Python Interview Preparation for Experienced Developers
Interested in developing embedded systems? Since they donâ??t tolerate inefficiency, these systems require a disciplined approach to programming. This easy-to-read guide helps you cultivate a host of good development practices, based on classic software design patterns and new patterns unique to embedded programming. Learn how to build system architecture for processors, not operating systems, and discover specific techniques for dealing with hardware difficulties and manufacturing requirements. Written by an expert whoâ??s created embedded systems ranging from urban surveillance and DNA scanners to childrenâ??s toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use. Optimize your system to reduce cost and increase performance Develop an architecture that makes your software robust in resource-constrained environments Explore sensors, motors, and other I/O devices Do more with less: reduce RAM consumption, code space, processor cycles, and power consumption Learn how to update embedded code directly in the processor Discover how to implement complex mathematics on small processors Understand what interviewers look for when you apply for an embedded systems job "Making Embedded Systems is the book for a C programmer who wants to enter the fun (and lucrative) world of embedded systems. Itâ??s very well writtenâ??entertaining, evenâ??and filled with clear illustrations." â??Jack Ganssle, author and embedded system expert.
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.
Concurrency provides a thoroughly updated approach to the basic concepts and techniques behind concurrent programming. Concurrent programming is complex and demands a much more formal approach than sequential programming. In order to develop a thorough understanding of the topic Magee and Kramer present concepts, techniques and problems through a variety of forms: informal descriptions, illustrative examples, abstract models and concrete Java examples. These combine to provide problem patterns and associated solution techniques which enable students to recognise problems and arrive at solutions. New features include: New chapters covering program verification and logical properties. More student exercises. Supporting website contains an updated version of the LTSA tool for modelling concurrency, model animation, and model checking. Website also includes the full set of state models, java examples, and demonstration programs and a comprehensive set of overhead slides for course presentation.
