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Select Topics in Python
Packaging
Patrick Ester
Patrick Ester
Code and run Django websites without installing anything!
This course is designed for learners who some experience with Python. The modules in this course cover modules and packages, third-party packages, and packing for distribution.
Read more
Code and run Django websites without installing anything!
This course is designed for learners who some experience with Python. The modules in this course cover modules and packages, third-party packages, and packing for distribution.
Read more
Code and run Django websites without installing anything!
This course is designed for learners who some experience with Python. The modules in this course cover modules and packages, third-party packages, and packing for distribution.
To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to slowly building features, resulting in large coding projects at the end of the course.
Course Learning Objectives:
Use pip to venv to manage virtual environments and packages
Use third-party package managers to manage virtual environments and packages
Package Python scripts and applications for a wider audience
Register for this course and see more details by visiting:
OpenCourser.com/course/ossjeq/select
What's inside
Syllabus
Packaging in Python
Welcome to Week 1 of the Select Topics in Python: Packaging course. These assignments cover what is a Python package and how they relate to modules, creating your own package, importing and using third-party packages, and how to bundle your package into a wheel to be used by others. The module ends with a hands-on lab and graded coding exercises.
Read more
Syllabus
Packaging in Python
Welcome to Week 1 of the Select Topics in Python: Packaging course. These assignments cover what is a Python package and how they relate to modules, creating your own package, importing and using third-party packages, and how to bundle your package into a wheel to be used by others. The module ends with a hands-on lab and graded coding exercises.
Read more
Alternative Package Managers
Welcome to Week 2 of the Select Topics in Python: Packaging course. These assignments cover the Poetry and Conda package managers. You will learn how to create virtual environments, install and remove packages, create a requirements file, and bundle packages for use by a wider audience. The module ends with a hands-on lab and graded coding exercises.
Packaging for Distribution
Welcome to Week 3 of the Select Topics in Python: Packaging course. These assignments cover packaging a Python project into something easily used by others. Learn how to take text-based and graphical projects and turn them into executable files, as well as bundle a Flask web app for hosting. The module ends with a hands-on lab and graded coding exercises.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces learners to the creation and manipulation of Python packages
Emphasizes hands-on learning through interactive coding assignments and projects
Suitable for learners with prior understanding of Python programming
Does not include video lectures, relying solely on text-based explanations and coding examples
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Activities
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We're preparing activities for
Select Topics in Python: Packaging.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Select Topics in Python: Packaging 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 their knowledge of programming languages and software development tools to create software that meets the needs of users. This course can help Software Engineers learn how to package and distribute their software applications, making it easier for others to use their work.
Data Scientist
Data Scientist
Data Scientists analyze data to extract meaningful insights and trends. They use their findings to help businesses make informed decisions. This course can help Data Scientists learn how to package and distribute their data analysis scripts and applications, making it easier for others to use their work.
DevOps Engineer
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. They use their knowledge of software development and operations tools to create and maintain software systems that are reliable and efficient. This course can help DevOps Engineers learn how to package and distribute their software applications, making it easier for others to use their work.
Data Analyst
Data Analyst
Data Analysts use their knowledge of data analysis tools and techniques to extract meaningful insights from data. They use their findings to help businesses make informed decisions. This course can help Data Analysts learn how to package and distribute their data analysis scripts and applications, making it easier for others to use their work.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. They use their knowledge of machine learning algorithms and tools to create models that can learn from data and make predictions. This course can help Machine Learning Engineers learn how to package and distribute their machine learning models, making it easier for others to use their work.
Web Developer
Web Developer
Web Developers design, develop, and maintain websites and web applications. They use their knowledge of web development languages and tools to create websites that are user-friendly and meet the needs of users. This course can help Web Developers learn how to package and distribute their web applications, making it easier for others to use their work.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing systems. They use their knowledge of cloud computing technologies to create systems that are scalable, reliable, and cost-effective. This course can help Cloud Architects learn how to package and distribute their cloud computing applications, making it easier for others to use their work.
Security Engineer
Security Engineer
Security Engineers design and implement security systems to protect computer networks and systems from unauthorized access, use, disclosure, disruption, modification, or destruction. This course can help Security Engineers learn how to package and distribute their security applications, making it easier for others to use their work.
Systems Analyst
Systems Analyst
Systems Analysts design and implement computer systems to meet the needs of businesses. They use their knowledge of systems analysis and design techniques to create systems that are efficient and effective. This course can help Systems Analysts learn how to package and distribute their systems, making it easier for others to use their work.
Database Administrator
Database Administrator
Database Administrators design, implement, and maintain databases. They use their knowledge of database management systems to create databases that are efficient and reliable. This course can help Database Administrators learn how to package and distribute their databases, making it easier for others to use their work.
Business Analyst
Business Analyst
Business Analysts work with businesses to understand their needs and develop solutions to meet those needs. They use their knowledge of business analysis techniques to create solutions that are effective and efficient. This course may be useful for Business Analysts who want to learn how to package and distribute their business analysis documents and applications.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. They use their knowledge of project management techniques to create projects that are successful and meet the needs of stakeholders. This course may be useful for Project Managers who want to learn how to package and distribute their project plans and documents.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test software to ensure that it meets the needs of users. They use their knowledge of quality assurance techniques to create tests that are effective and efficient. This course may be useful for Quality Assurance Analysts who want to learn how to package and distribute their test scripts and applications.
Technical Writer
Technical Writer
Technical Writers create documentation for software and other technical products. They use their knowledge of technical writing techniques to create documentation that is clear and concise. This course may be useful for Technical Writers who want to learn how to package and distribute their documentation in a variety of formats.
Product Manager
Product Manager
Product Managers work with businesses to define, develop, and launch products. They use their knowledge of product management techniques to create products that meet the needs of customers and businesses. This course may be useful for Product Managers who want to learn how to package and distribute their product specifications and documentation.
For more career information including salaries, visit:
OpenCourser.com/course/ossjeq/select
Reading list
We've selected ten 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
Select Topics in Python: Packaging.
This online resource provides a comprehensive list of available Python packages along with their documentation and usage instructions. It is an essential reference for anyone working with Python packages.
Comprehensive guide to the Python programming language, covering topics from basic syntax to advanced concepts such as metaprogramming and asyncio. It provides a solid foundation for understanding Python and its ecosystem, which is essential for working with Python packages.
Save
This documentation provides comprehensive information on how to use Poetry, a modern package manager for Python. It covers topics such as package creation, publishing, and dependency management.
This documentation provides detailed information on how to use Conda, a package and environment management system for Python. It is especially useful for those who work with scientific computing and data science.
Save
Provides practical advice and best practices for writing effective Python code. While it does not focus specifically on packaging, it covers topics such as code organization, testing, and performance optimization, which are relevant to package development.
Save
Provides a comprehensive reference for the Python programming language. While it does not cover packaging specifically, it offers a deep dive into the language's syntax, libraries, and tools, which is valuable for understanding the underlying principles of Python packaging.
Fast-paced introduction to Python, covering the basics of the language in a concise and engaging manner. It good starting point for those who are new to Python and want to quickly get up to speed.
Provides advanced coverage of Python programming techniques, including topics such as metaprogramming, concurrency, and performance optimization. While it does not focus on packaging, it offers valuable insights into the internals of Python, which can be beneficial for understanding how packages work.
Teaches practical Python skills through a series of hands-on projects. While it does not cover packaging directly, it provides a good foundation for working with Python scripts and applications, which is useful for understanding how packages work.
Save
Provides a collection of practical Python recipes for solving common programming problems. While it does not cover packaging directly, it offers valuable tips and techniques for working with Python code, which can be useful for package development.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ossjeq/select
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Effort
4 weeks of study, 3-4 hours/week
Level
Intermediate
Via
Coursera
Institution
Codio
Instructor
Patrick Ester
Language
English
This course belongs to a
collection
called
Select Topics in Python. It's comprised of four courses:
- Select Topics in Python: Matplotlib
- Select Topics in Python: Django
- Select Topics in Python: Packaging (viewing)
- Select Topics in Python: Natural Language Processing
Good to know
Introduces learners to the creation and manipulation of Python packages
Emphasizes hands-on learning through interactive coding assignments and projects
Suitable for learners with prior understanding of Python programming
Does not include video lectures, relying solely on text-based explanations and coding examples
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