Python как иностранный from Coursera

Сегодня язык программирования Python широко используется не только программистами. Его простота и богатый функционал позволяют людям практически любых профессий решать свои прикладные задачи проще и эффективнее с помощью программ на Python. Наш онлайн курс поможет освоить основы программирования, чтобы использовать их в дальнейшем в своей профессиональной деятельности. Программа специально создавалась для студентов не инженерных специальностей и людей не из мира IT. Никаких предварительных знаний программирования для прохождения курса не требуется. Студент проходит путь от самых азов до небольшого прикладного проекта, где он уже умеет автоматизировать работу с файлами и сбор информации в интернете. А по пути мы объясняем, как работать со средой программирования, что такое кодировки и как устроены сайты. Этот курс про то, что Python — это совсем не страшно, и что язык программирования в современном мире такой же важный инструмент, как Excel или PowerPoint. К концу курса НИУ ВШЭ слушатели научатся использовать основной функционал языка Python, считывать и обрабатывать информацию из файлов и веб-страниц. Для закрепления навыков курс содержит большое количество практических заданий, основывающихся на понятных и жизненных примерах.

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Know what's good

, what to watch for

, and possible dealbreakers

Demonstrates how Python is used outside of programming roles for increased productivity, tapping into the current industry trend of Python's growing popularity and use cases

Designed for non-technical individuals with no prior programming knowledge, making it accessible to a wider audience

Covers essential programming concepts from the ground up, providing a solid foundation for learners with no programming experience

Includes practical assignments based on real-world scenarios, enabling learners to apply their knowledge to solve practical problems

Provides step-by-step guidance on working with files and web data, equipping learners with essential data manipulation skills

Reviews summary

Python for non-programmers

This course provides a non-sweeping, pragmatic, and thorough introduction to the Python programming language and imperative programming concepts. While students who have never programmed previously may encounter difficulty, the well-prepared staff, clear explanations, and plentiful application of Python to real-world problems make this course an effective way to learn or refresh your Python knowledge.

Tasks are appropriately challenging.

"Практические задания нормальной сложности. Иногда - сложные."

"На последней неделе задания 7-10 заставляют попотеть."

Materials are well-explained.

"Преподаватели подробно объясняли темы ..."

"Последовательно. Структурированно. С подробными объяснениями ..."

Some errors in course materials.

"Много ошибок в объяснении, есть те, которые до сих пор не исправили"

"Есть опечатки, ошибки (незначительные) в видео и практике."

The course requires a significant time investment.

"Я тратил больше времени, чем планировал."

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 Python как иностранный with these activities:

Review Python Basics

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Refresh and strengthen your understanding of fundamental Python concepts to enhance your learning in this course

Browse courses on Python Syntax

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Review official Python documentation or online tutorials
Solve practice problems and coding exercises
Take online quizzes or assessments to test your knowledge

Command Line Practice

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Start a project to solidify the basics of Python by practicing basic syntax and operations in the command line

Browse courses on Python Basics

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Open a command line or terminal window
Run basic Python commands like print(), type(), and input()
Try different data types and operators, and explore string manipulation

Explore Python Libraries and Modules

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Expand your Python skills by exploring and utilizing various libraries and modules to enhance your code's functionality

Browse courses on Python Libraries

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Identify commonly used libraries and modules for specific tasks
Follow tutorials or documentation to learn their usage and syntax
Experiment with code examples and practice implementing them

Four other activities

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Find a Python Mentor

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Connect with experienced Python professionals or peers to expand your knowledge and get personalized guidance

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Reach out to Python communities and discussion groups
Attend Python meetups or workshops
Leverage platforms like LinkedIn or GitHub to find potential mentors

Build a Python Project

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Solidify your skills by building a practical Python project that solves a real-world problem

Browse courses on Python Libraries

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Identify a problem or need that can be solved with Python
Design and develop a solution using Python
Test and refine your project to ensure functionality
Document and share your project on platforms like GitHub

Attend Python Workshops

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Gain hands-on experience and deepen your understanding of Python through interactive workshops

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Identify relevant workshops or conferences in your area
Register and attend the workshops to engage with experts and peers
Participate actively in discussions and hands-on exercises

Contribute to Open Source Python Projects

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Immerse yourself in the Python community and make a valuable contribution while solidifying your skills

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Find open source Python projects on platforms like GitHub
Identify areas where you can contribute based on your skills
Collaborate with the project maintainers to discuss your contributions

Career center

Learners who complete Python как иностранный will develop knowledge and skills that may be useful to these careers:

Software Engineer

Software Engineers design, develop, and maintain software systems. Python is widely used in software engineering, particularly for web development, data analysis, and machine learning. This course may be useful for building a foundation in Python, which is valuable for software engineering.

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Data Analyst

Data Analysts translate raw data into meaningful insights that inform decision-making. Python's data analysis capabilities may be useful in this role. This course can help build a foundation by teaching the basics of Python, including data manipulation and analysis.

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Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models. Python is widely used in machine learning. This course may be helpful for building a foundation in Python, which is essential for machine learning.

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Data Engineer

Data Engineers design, build, and maintain data pipelines. Python is widely used in data engineering. This course may be helpful for building a foundation in Python, which is essential for data engineering.

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Web Developer

Web Developers translate designs into functional websites. Python is used for web development, particularly for back-end development. This course may be useful for building a foundation in Python, which is valuable for web development. The course also teaches how websites are structured, which is relevant to web development.

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Data Scientist

Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. Python is widely used in data science. This course may be helpful for building a foundation in Python, which is essential for data science.

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Product Manager

Product Managers oversee the development and launch of new products. Python is becoming increasingly used by product managers. This course may be useful for building a foundation in Python, which can be helpful for product managers who wish to use Python in their work.

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System Administrator

System Administrators manage computer systems. Python is becoming increasingly used by System Administrators. This course may be useful for building a foundation in Python, which can be helpful for System Administrators who wish to use Python in their work.

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Project Manager

Project Managers plan and execute projects. Python is becoming increasingly used by project managers. This course may be useful for building a foundation in Python, which can be helpful for project managers who wish to use Python in their work.

See salaries and explore the career path for Project Manager

Salesforce Administrator

Salesforce Administrators manage Salesforce implementations. Python is becoming increasingly used by Salesforce Administrators. This course may be useful for building a foundation in Python, which can be helpful for Salesforce Administrators who wish to use Python in their work.

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Business Analyst

Business Analysts use data to identify opportunities and solve problems within a business. Python is becoming increasingly used by business analysts. This course may be useful for building a foundation in Python, which can be helpful for business analysts who wish to use Python in their work.

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Database Administrator

Database Administrators manage databases. Python is becoming increasingly used by Database Administrators. This course may be useful for building a foundation in Python, which can be helpful for Database Administrators who wish to use Python in their work.

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IT Auditor

IT Auditors evaluate the security and effectiveness of IT systems. Python is becoming increasingly used by IT Auditors. This course may be useful for building a foundation in Python, which can be helpful for IT Auditors who wish to use Python in their work.

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Network Administrator

Network Administrators manage computer networks. Python is becoming increasingly used by Network Administrators. This course may be useful for building a foundation in Python, which can be helpful for Network Administrators who wish to use Python in their work.

See salaries and explore the career path for Network Administrator

Financial Analyst

Financial Analysts use data to make investment decisions. Python is becoming increasingly used by financial analysts. This course may be useful for building a foundation in Python, which can be helpful for financial analysts who wish to use Python in their work.

See salaries and explore the career path for Financial Analyst