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Python Programming for Quantum Computing · LearnSpace
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Python Programming for Quantum Computing

Курс от Packt
Начальный≈ 8.3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course is designed to provide a solid foundation in Python programming, tailored for individuals interested in quantum computing. The first section begins with an introduction to Python from scratch, walking you through the installation of Anaconda on both Windows and macOS, followed by an overview of Python’s core concepts. You’ll learn to write your first code using numbers, variables, strings, and more advanced data types like lists, dictionaries, and tuples. By the end of this section, you'll have set up your environment and mastered key programming basics with practical hands-on coding in Jupyter notebooks. In the second section, the focus shifts to control flow and data manipulation. You’ll explore Boolean values, logical comparisons, and conditional if statements, essential for writing decision-based programs. This section also covers loops (for and while) and the crucial commands such as break, continue, and pass, enabling you to manage complex iteration scenarios. By diving into practical use cases, you’ll also enhance your ability to manipulate data structures like lists. Furthermore, this section includes introductions to Python methods, zip, and random functions—tools that will help streamline your coding experience. The final section delves into more advanced topics like functions and object-oriented programming (OOP). You’ll start with basic function definitions, input/output handling, and advance to the practical use of functions in more complex scenarios. The object-oriented section introduces you to classes, methods, inheritance, and error handling, all crucial for building scalable, efficient Python programs. You’ll also learn about working with external libraries and creating your own Python modules, preparing you for more advanced programming challenges in quantum computing and beyond. This course is perfect for beginners who want to learn Python programming with a focus on quantum computing. It is suitable for anyone with a basic understanding of computers and no prior programming experience. Those with an interest in Python for data science, machine learning, or quantum computing will benefit from this foundational course.

Навыки, которые вы освоите

Object Oriented Programming (OOP)Python ProgrammingComputer ProgrammingComputational LogicSoftware InstallationData ManipulationQuantum computingProgramming PrinciplesJupyterDevelopment EnvironmentData StructuresSystem ConfigurationPackage and Software Management

Программа курса

3 модулей · 50 учебных материалов

01Python Setup and Core Concepts16 материалов

Python from Scratch

Full Specialization ResourcesЧтениеIntroduction to the Course 'Python Programming for Quantum Computing'ЧтениеIntroduction to Python from ScratchВидеоAnaconda Installation for Windows UsersВидео

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Packt - Course Instructors

Преподаватель курса

Python Programming for Quantum Computing
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 8.3 ч

3 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Корейский, Немецкий, Индонезийский, Испанский, Японский, Казахский

Часть программы вашего университета
Anaconda Installation for MAC UsersВидео
NumbersВидео
VariablesВидео
Downloading NotebooksВидео
StringВидео
Advanced StringВидео
Variable AttributesВидео
ListsВидео
Lists AdvancedВидео
DictionaryВидео
SetsВидео
TuplesВидео
02Control Flow and Data Manipulation14 материалов
BooleanВидеоLogical ComparisonsВидеоIf StatementsВидеоStatements ContinuedВидеоStatements Practical UsageВидеоFor LoopВидеоFor Loop Practical UsageВидеоBreak Continue PassВидеоWhile LoopВидеоUseful MethodsВидеоZip and RandomВидеоLists AdvancedВидеоSublime Text for Windows UsersВидеоCommand Prompt for Windows UsersВидео
03Functions, OOP, and Advanced Topics20 материалов
Sublime Text for MAC UsersВидеоTerminal for MAC UsersВидеоFunctions ExplainedВидеоInput and OutputВидеоFunctions AdvancedВидеоFunctions Practical UsageВидеоScopeВидеоClassВидеоMethodsВидеоClass Practical UsageВидеоInheritanceВидеоSpecial MethodsВидеоError HandlingВидеоUsing LibrariesВидеоWriting Own ModulesВидеоImported versus DirectВидеоConclusion to the Course 'Python Programming for Quantum Computing'ЧтениеUnderstanding Lists in PythonDIALOGUEFull Course Practice AssessmentЗаданиеFull Course AssessmentЗадание