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Mat Leonard,
Parnian Barekatain,
Eddy Shyu,
Brok Bucholtz,
Elizabeth Otto Hamel,
Cindy Lin,
Cezanne Camacho,
Arpan Chakraborty,
Luis Serrano,
and
Juan Delgado
Register for this course and see more details by visiting:
OpenCourser.com/course/o9bnas/python
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What's inside
Syllabus
Welcome to Introduction to Python! Here's an overview of the course.
Familiarize yourself with the building blocks of Python! Learn about data types and operators, compound data structures, type conversion, built-in functions, and style guidelines.
Read more
Syllabus
Welcome to Introduction to Python! Here's an overview of the course.
Familiarize yourself with the building blocks of Python! Learn about data types and operators, compound data structures, type conversion, built-in functions, and style guidelines.
Read more
Build logic into your code with control flow tools! Learn about conditional statements, repeating code with loops and useful built-in functions, and list comprehensions.
Learn how to use functions to improve and reuse your code! Learn about functions, variable scope, documentation, lambda expressions, iterators, and generators.
Setup your own programming environment to write and run Python scripts locally! Learn good scripting practices, interact with different inputs, and discover awesome tools.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for coding beginners and intermediates aiming to bolster their foundational coding knowledge and skills in Python
Covers the basics of Python, including data types, operators, control flow, functions, and scripting practices
Instructors have established expertise in the field of Python programming
Provides a solid foundation for learners interested in pursuing further studies or careers in Python programming
Course content is current and aligned with industry practices
Save this course
Save Python Refresher to your list so you can find it easily later:
Save
Save
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 Refresher with these
activities:
Review course materials
Show steps
Reinforce your knowledge by reviewing course materials before and during the course.
Browse courses on
Online Resources
Show steps
-
Gather all course materials and organize them
-
Start reviewing materials early to avoid cramming
-
Take notes and ask questions to clarify your understanding
Practice Python fundamentals
Show steps
Refresh your knowledge of Python fundamentals to prepare for the course materials.
Show steps
-
Review data types, operators, and control flow
-
Practice writing simple Python scripts
-
Complete online tutorials or exercises on Python basics
Join a Python study group
Show steps
Collaborate with peers to exchange knowledge, ask questions, and enhance your understanding.
Show steps
-
Find or create a study group with other Python learners
-
Set regular meeting times and discuss course materials
-
Work together on projects or practice exercises
-
Provide support and encouragement to each other
-
Attend study group events or workshops
Three other activities
Expand to see all activities and additional details
Show all six activities
Become a Python tutor or mentor
Show steps
Enhance your understanding of Python by sharing your knowledge and helping others learn.
Browse courses on
Knowledge Sharing
Show steps
-
Join online forums or communities as a mentor
-
Offer one-on-one tutoring or group study sessions
-
Create and share educational materials on Python
-
Participate in outreach programs or workshops
Explore Python libraries
Show steps
Gain familiarity with popular Python libraries to enhance your understanding of practical applications.
Browse courses on
Python Libraries
Show steps
-
Research and choose libraries relevant to your interests
-
Follow online tutorials or documentation to learn about library functionality
-
Experiment with the libraries in your own projects or exercises
Build a Python project
Show steps
Apply your Python skills to a practical project to deepen your understanding and gain hands-on experience.
Show steps
-
Identify a project idea that interests you
-
Plan and design your project
-
Implement the project using Python
-
Test and refine your project
-
Showcase your project on GitHub or other platforms
Review course materials
Show steps
Reinforce your knowledge by reviewing course materials before and during the course.
Browse courses on
Online Resources
Show steps
Show steps
Show steps
- Gather all course materials and organize them
- Start reviewing materials early to avoid cramming
- Take notes and ask questions to clarify your understanding
Practice Python fundamentals
Show steps
Refresh your knowledge of Python fundamentals to prepare for the course materials.
Show steps
Show steps
Show steps
- Review data types, operators, and control flow
- Practice writing simple Python scripts
- Complete online tutorials or exercises on Python basics
Join a Python study group
Show steps
Collaborate with peers to exchange knowledge, ask questions, and enhance your understanding.
Show steps
Show steps
Show steps
- Find or create a study group with other Python learners
- Set regular meeting times and discuss course materials
- Work together on projects or practice exercises
- Provide support and encouragement to each other
- Attend study group events or workshops
Three other activities
Expand to see all activities and additional details
Show all six activities
Become a Python tutor or mentor
Show steps
Enhance your understanding of Python by sharing your knowledge and helping others learn.
Browse courses on
Knowledge Sharing
Show steps
Show steps
Show steps
- Join online forums or communities as a mentor
- Offer one-on-one tutoring or group study sessions
- Create and share educational materials on Python
- Participate in outreach programs or workshops
Explore Python libraries
Show steps
Gain familiarity with popular Python libraries to enhance your understanding of practical applications.
Browse courses on
Python Libraries
Show steps
Show steps
Show steps
- Research and choose libraries relevant to your interests
- Follow online tutorials or documentation to learn about library functionality
- Experiment with the libraries in your own projects or exercises
Build a Python project
Show steps
Apply your Python skills to a practical project to deepen your understanding and gain hands-on experience.
Show steps
Show steps
Show steps
- Identify a project idea that interests you
- Plan and design your project
- Implement the project using Python
- Test and refine your project
- Showcase your project on GitHub or other platforms
Career center
Learners who complete Python Refresher will develop knowledge and skills
that may be useful to these careers:
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They use a variety of programming languages, including Python. The Python Refresher course can help Software Engineers improve their Python skills and learn new techniques and concepts. The course covers a wide range of topics, including control flow tools, functions, variable scope, documentation, lambda expressions, iterators, and generators.
Web Developer
Web Developer
Web Developers design and develop websites and web applications. They use a variety of programming languages, including Python. The Python Refresher course can help Web Developers improve their Python skills and learn new techniques and concepts. The course covers a wide range of topics, including control flow tools, functions, variable scope, documentation, lambda expressions, iterators, and generators.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. They use a variety of tools and techniques, including Python. The Python Refresher course can help Data Scientists improve their Python skills and learn new techniques and concepts. The course covers a wide range of topics, including data types and operators, compound data structures, type conversion, built-in functions, and style guidelines.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. They use a variety of programming languages, including Python. The Python Refresher course can help Machine Learning Engineers improve their Python skills and learn new techniques and concepts. The course covers a wide range of topics, including data types and operators, compound data structures, type conversion, built-in functions, and style guidelines.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. They use a variety of tools and techniques to extract insights from data, including Python. The Python Refresher course can help Data Analysts build a strong foundation in Python, which is an essential skill for this role. The course covers a wide range of topics, including data types and operators, compound data structures, type conversion, built-in functions, and style guidelines.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. They use a variety of programming languages, including Python. The Python Refresher course can help Quantitative Analysts improve their Python skills and learn new techniques and concepts. The course covers a wide range of topics, including data types and operators, compound data structures, type conversion, built-in functions, and style guidelines.
Market Researcher
Market Researcher
Market Researchers collect and analyze data about markets and consumers. They use a variety of tools and techniques, including Python. The Python Refresher course can help Market Researchers improve their Python skills and learn new techniques and concepts. The course covers a wide range of topics, including data types and operators, compound data structures, type conversion, built-in functions, and style guidelines.
Business Analyst
Business Analyst
Business Analysts help businesses improve their operations and make better decisions. They use a variety of tools and techniques, including Python. The Python Refresher course can help Business Analysts improve their Python skills and learn new techniques and concepts. The course covers a wide range of topics, including data types and operators, compound data structures, type conversion, built-in functions, and style guidelines.
Financial Analyst
Financial Analyst
Financial Analysts help businesses make informed financial decisions. They use a variety of tools and techniques, including Python. The Python Refresher course can help Financial Analysts improve their Python skills and learn new techniques and concepts. The course covers a wide range of topics, including data types and operators, compound data structures, type conversion, built-in functions, and style guidelines.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They use a variety of tools and techniques, including Python. The Python Refresher course can help Product Managers improve their Python skills and learn new techniques and concepts. The course covers a wide range of topics, including data types and operators, compound data structures, type conversion, built-in functions, and style guidelines.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. They use a variety of tools and techniques, including Python. The Python Refresher course may be useful for Marketing Managers who want to learn more about Python and how it can be used in marketing.
Operations Manager
Operations Manager
Operations Managers are responsible for planning, organizing, and executing operations. They use a variety of tools and techniques, including Python. The Python Refresher course may be useful for Operations Managers who want to learn more about Python and how it can be used in operations.
Project Manager
Project Manager
Project Managers are responsible for planning, organizing, and executing projects. They use a variety of tools and techniques, including Python. The Python Refresher course may be useful for Project Managers who want to learn more about Python and how it can be used in project management.
Customer Success Manager
Customer Success Manager
Customer Success Managers are responsible for building relationships with customers and ensuring their satisfaction. They use a variety of tools and techniques, including Python. The Python Refresher course may be useful for Customer Success Managers who want to learn more about Python and how it can be used in customer success.
Sales Manager
Sales Manager
Sales Managers are responsible for leading and managing sales teams. They use a variety of tools and techniques, including Python. The Python Refresher course may be useful for Sales Managers who want to learn more about Python and how it can be used in sales.
For more career information including salaries, visit:
OpenCourser.com/course/o9bnas/python
Reading list
We've selected 13 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Python Refresher.
This official documentation from the Python developers provides a comprehensive and up-to-date overview of the language. It serves as an excellent reference for expanding knowledge of Python's syntax, features, and best practices, complementing the course's materials.
Save
This comprehensive guide covers a wide range of Python topics, from beginner to advanced. It offers a thorough and practical approach to learning the language and can serve as a valuable resource for expanding knowledge gained in the course.
This comprehensive guide provides a practical approach to learning Python through hands-on projects. It covers fundamental concepts, data structures, and essential tools, making it a valuable resource for expanding knowledge gained in the course.
Save
This comprehensive reference provides a detailed overview of Python's syntax and features. It can serve as a valuable tool for quick reference and for expanding knowledge of Python's capabilities.
Save
This practical reference provides a collection of Python recipes that address common programming challenges. It can serve as a valuable tool for expanding the toolkit of Python learners and for resolving specific coding issues encountered during the course.
Save
This comprehensive textbook offers a structured approach to learning Python. It provides detailed explanations, exercises, and projects that can complement the course material and reinforce understanding.
Save
This practical guide offers specific recommendations for improving Python code quality. It provides insights and best practices that can help learners write more efficient, maintainable, and readable code, complementing the course's focus on code quality.
This comprehensive reference provides detailed examples of the Python standard library. It can serve as a valuable tool for expanding knowledge of Python's built-in modules and functions, complementing the course's coverage of these topics.
This practical book offers a hands-on approach to learning Python through real-world projects. It provides a good balance between theoretical explanations and practical applications, complementing the course's focus on hands-on learning.
Save
This introductory textbook provides a foundation in computer science principles using Python. It can serve as a helpful resource for learners seeking a more theoretical understanding of the concepts covered in the course.
Save
This advanced guide offers insights into Python's design and best practices. It provides a deeper understanding of the language's internals and can help learners refine their Python skills and write more efficient and elegant code.
Save
This visually engaging book presents Python concepts in a unique and accessible way. Its emphasis on visual learning can help solidify the understanding gained in the course and make the material more memorable.
This comprehensive guide provides a practical introduction to machine learning using Python. While it may not directly align with the core topics of the course, it can be a valuable resource for learners interested in exploring Python's applications in machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/o9bnas/python
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Similar courses
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Time
500 hours
Level
Advanced
Via
Udacity
Instructors
Mat Leonard
Parnian Barekatain
Eddy Shyu
Brok Bucholtz
Elizabeth Otto Hamel
Cindy Lin
Cezanne Camacho
Arpan Chakraborty
Luis Serrano
Juan Delgado
Language
English
Good to know
Suitable for coding beginners and intermediates aiming to bolster their foundational coding knowledge and skills in Python
Covers the basics of Python, including data types, operators, control flow, functions, and scripting practices
Instructors have established expertise in the field of Python programming
Provides a solid foundation for learners interested in pursuing further studies or careers in Python programming
Course content is current and aligned with industry practices
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