Программирование для всех (начало работы с Python) from Coursera

What's inside

Syllabus

Глава первая — Почему мы программируем?

Это материалы всего курса, а также первая часть первой главы, в которой мы исследуем, что значит писать программы. По окончании главы 1 будет тест и первое задание на третьей неделе занятий. На протяжении всего курса вы можете вернуться и изучить эти материалы. Этот раздел не займет у вас всю неделю.

Установка и использование Python

В этом модуле вы выполните все настройки для написания программ на Python. Не все упражнения в этом модуле являются обязательными для данного занятия, поэтому для получения более подробной информации прочитайте материал «Использование Python в этом курсе».

Глава первая: Почему мы программируем (продолжение)

В первой главе мы попробуем рассказать об «общей картине» программирования, чтобы вы поняли «содержание» остальной части книги. Не волнуйтесь, если вам не все услышанное понятно с первого раза. Эта глава довольно общая, и вам будет полезно прочитать главу в книге в дополнение к просмотру лекций, чтобы все усвоить. Возможно, вы захотите вернуться и пересмотреть эти лекции после того, как прочтете еще несколько глав.

Глава вторая: Переменные и выражения

В этой главе мы рассмотрим, как программа использует память компьютера для хранения, извлечения и расчета информации.

Глава третья: Код условия

В этом разделе мы переходим от последовательного кода, который просто запускает одну строку кода за другой, к коду условия, где некоторые шаги пропускаются. Это очень простая концепция, но именно так программное обеспечение компьютера делает «выбор».

Глава четвертая: Функции

Это относительно короткая глава. Мы узнаем о том, что такое функции и как их использовать. Программы в первых главах книги недостаточно велики, чтобы требовать от нас разработки функций, но поскольку в книге появляются все более сложные программы, функции станут для нас важным способом разобраться в нашем коде.

Глава пятая: Циклы и итерация

Циклы и итерация завершают четыре основные модели программирования. Циклы - это способ, которым мы говорим Python делать что-то снова и снова. Циклы - это способ создания программ, работающих с задачей до тех пор, пока она не будет решена.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores the fundamentals of programming, making it suitable for learners with little to no programming experience

Covers foundational concepts of programming, providing a strong base for beginners

Emphasizes understanding the 'big picture' of programming, offering a comprehensive perspective

Introduces functions, which are essential for organizing and structuring code

Explores various programming constructs, including variables, expressions, and control flow

May not be suitable for learners looking for advanced or specialized programming knowledge

Reviews summary

Positive python start

This beginner-friendly course uses Python to teach the fundamental concepts of programming. With a clear syllabus of five chapters, it covers topics like variables, conditional code, functions, cycles, and iterations. The instructor, Charles Russell Severance, is praised for his clear explanations and passion for the subject. While most reviewers highly recommend the course, some have encountered technical difficulties completing assignments.

Great for those new to programming

"This course is great for beginners who want to learn the basics of programming."

Instructor explains concepts well

"The instructor does an excellent job of explaining the concepts in a clear and concise manner."

Some users experienced issues

"I am unable to complete the course due to an error in assignment 2.3."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Программирование для всех (начало работы с Python) with these activities:

Review Object-Oriented Programming

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Sharpen your understanding of OOP principles, classes, objects, inheritance, and polymorphism to enhance your grasp of Python's object-oriented features.

Browse courses on Object-Oriented Programming

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Revisit basic OOP concepts and terminology.
Explore examples of classes and objects in Python.
Practice implementing inheritance and polymorphism.

Curate a Python Resource Collection

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Deepen your knowledge and expand your resources by gathering a collection of valuable Python-related materials, such as tutorials, documentation, and community forums.

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Identify and gather high-quality Python resources.
Organize and categorize the resources for easy access.
Share your resource collection with the instructor or fellow students.

Следите за видеоуроками или онлайн-курсами по программированию

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Поможет дополнить учебный материал курса дополнительными объяснениями и примерами.

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Найдите видеоуроки или онлайн-курсы по программированию, которые соответствуют вашему уровню подготовки.
Выделите время для регулярного просмотра видео и выполнения заданий.
Используйте полученные знания для укрепления своего понимания концепций программирования.

Eight other activities

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Explore Python Data Structures

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Complement your course learning by exploring tutorials on Python data structures like lists, tuples, dictionaries, and sets to enhance your understanding of data manipulation and storage.

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Identify different types of data structures in Python.
Learn how to create, access, and modify data within these structures.
Apply these structures in practical examples.

Join a Python Study Group

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Enhance your learning by collaborating with peers regularly to discuss course topics, share knowledge, and tackle challenges together.

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Identify or create a study group with fellow students.
Establish a regular meeting schedule and agenda.
Actively participate in group discussions and knowledge sharing.

Присоединитесь к группе по изучению программирования или посещайте митапы

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Поможет пообщаться с другими студентами и профессионалами и получить разные точки зрения на программирование.

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Найдите группу по изучению программирования или митап в своем городе или онлайн.
Регулярно посещайте мероприятия и участвуйте в обсуждениях.
Делитесь своими знаниями и опытом с другими участниками.

Solve Python Coding Challenges

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Challenge yourself with Python coding exercises to reinforce your understanding of syntax, problem-solving, and algorithm design.

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Identify coding challenges and practice solving them regularly.
Analyze code solutions and compare different approaches.
Seek feedback on your solutions from peers or mentors.

Создайте иллюстрации, объясняющие концепции программирования

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Поможет визуализировать и лучше понять абстрактные концепции программирования.

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Выберите сложную концепцию программирования, которую нужно объяснить.
Создайте блок-схему, диаграмму или другое визуальное представление концепции.
Используйте рисунки, цвета и текст для ясного и лаконичного объяснения.

Создайте собственный небольшой программный проект

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Поможет применить изученные концепции на практике и получить реальный опыт программирования.

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Выберите простую идею для программного проекта, например игру, инструмент или приложение.
Разработайте план и разделите проект на более мелкие задачи.
Кодируйте проект поэтапно, регулярно тестируя его.
Завершите проект и поделитесь им с другими.

Mentor a Junior Python Learner

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Solidify your understanding of Python by sharing your knowledge and assisting others who are new to the language.

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Identify a junior Python learner who seeks guidance.
Establish a mentoring relationship and define expectations.
Provide support, guidance, and feedback on their Python journey.

Develop a Python Project

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Apply your Python skills by creating a project that demonstrates your understanding of the concepts covered in the course, such as building a simple game or data analysis tool.

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Identify a project idea that aligns with your interests and the course material.
Design and plan your project architecture.
Implement your project using Python.
Test and refine your project to ensure functionality.
Present your project to peers or mentors for feedback.

Career center

Learners who complete Программирование для всех (начало работы с Python) will develop knowledge and skills that may be useful to these careers:

Computer Programmer

*Programming for Everybody (Getting Started with Python)* is a highly recommended course for aspiring Computer Programmers who want to learn the basics of programming using Python. The course covers essential programming concepts such as variables, data types, control flow, and functions. By completing this course, you will gain a strong foundation for writing and understanding Python code, which is a valuable skill for Computer Programmers.

See salaries and explore the career path for Computer Programmer

Software Developer

*Programming for Everybody (Getting Started with Python)* is an excellent starting point for anyone interested in becoming a Software Developer. This course provides a comprehensive introduction to programming using Python, covering essential concepts such as variables, data structures, control flow, and functions. By completing this course, you will gain a solid foundation for developing and maintaining software applications.

See salaries and explore the career path for Software Developer

Software Engineer

*Programming for Everybody (Getting Started with Python)* is a valuable course for aspiring Software Engineers who want to develop a strong foundation in programming. The course covers fundamental programming concepts, including data types, variables, control flow, and functions. These concepts are essential for designing, developing, and maintaining software systems.

See salaries and explore the career path for Software Engineer

Web Developer

For those interested in becoming Web Developers, *Programming for Everybody (Getting Started with Python)* provides a strong foundation in programming using Python. Web Developers often use Python to create dynamic and interactive web applications, and this course covers essential concepts such as variables, data types, control flow, and functions.

See salaries and explore the career path for Web Developer

Full-Stack Developer

*Programming for Everybody (Getting Started with Python)* is a valuable course for aspiring Full Stack Developers who want to learn the basics of programming with Python. The course covers essential programming concepts, including data types, variables, control flow, and functions. These concepts are fundamental for developing both the front-end and back-end of web applications.

See salaries and explore the career path for Full-Stack Developer

Front-End Developer

*Programming for Everybody (Getting Started with Python)* is an excellent starting point for those interested in becoming Front End Developers. This course provides a comprehensive introduction to programming using Python, covering essential concepts such as variables, data structures, control flow, and functions. By completing this course, you will gain a solid foundation for developing and maintaining the user interface of web applications.

See salaries and explore the career path for Front-End Developer

Computer and Information Research Scientist

This course, *Programming for Everybody (Getting Started with Python)*, can help you build a foundation in programming with Python, a popular programming language used by Computer and Information Research Scientists to develop software applications and analyze data. The course covers topics such as variables, expressions, conditional statements, functions, and loops, which are fundamental concepts for building complex software systems.

See salaries and explore the career path for Computer and Information Research Scientist

Data Analyst

Data Analysts may find this course, *Programming for Everybody (Getting Started with Python)*, helpful for developing foundational programming skills. The course introduces the basics of Python, a popular programming language used for data analysis and manipulation. Topics covered include variables, data types, operators, and control flow, which are essential concepts for working with data.

See salaries and explore the career path for Data Analyst

Software Quality Assurance Analyst

*Programming for Everybody (Getting Started with Python)* is a recommended course for those interested in becoming Software Quality Assurance Analysts. This course provides a solid foundation in programming fundamentals and the Python language. Software Quality Assurance Analysts often use programming skills to test and evaluate software applications, and Python is a versatile language suitable for various testing tasks.

See salaries and explore the career path for Software Quality Assurance Analyst

Database Administrator

For those interested in becoming Database Administrators, this course, *Programming for Everybody (Getting Started with Python)*, provides a helpful introduction to programming fundamentals using Python. Database Administrators often use programming skills to create and maintain database systems, and Python is a versatile language suitable for various database-related tasks.

See salaries and explore the career path for Database Administrator

Information Security Analyst

While not directly related to the field of Information Security, this course, *Programming for Everybody (Getting Started with Python)*, offers a solid foundation in programming concepts and the Python language. Information Security Analysts can benefit from understanding how software works and how to identify potential security vulnerabilities. Python is a widely used language in cybersecurity, making this course a relevant choice.

See salaries and explore the career path for Information Security Analyst

Webmaster

Webmasters may find *Programming for Everybody (Getting Started with Python)* helpful for gaining basic programming skills. The course introduces the fundamentals of Python, including variables, data types, and control flow, which can be useful for understanding and maintaining web applications.

See salaries and explore the career path for Webmaster

Operations Research Analyst

Operations Research Analysts may find *Programming for Everybody (Getting Started with Python)* helpful for developing basic programming skills. The course covers the fundamentals of Python, including variables, data types, and control flow. These concepts are essential for building optimization models and solving complex problems using programming.

See salaries and explore the career path for Operations Research Analyst

Systems Administrator

Systems Administrators may find *Programming for Everybody (Getting Started with Python)* helpful for developing basic programming skills. The course covers the fundamentals of Python, including variables, data types, and control flow. These concepts are essential for automating tasks and managing systems using programming scripts.

See salaries and explore the career path for Systems Administrator

Computer Systems Analyst

Computer Systems Analysts will find that this course, *Programming for Everybody (Getting Started with Python)*, may be useful for learning the basics of writing programs using Python. This foundational knowledge of programming can be helpful for understanding how software applications work and how they interact with computer hardware.

See salaries and explore the career path for Computer Systems Analyst