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David Dalsveen
A graphical user interface can be a nice alternative to using the command line for running programs, as there is no need to memorize how to execute a command with arguments. A label may be added to describe what is needed for the application, for example. There are many choices for building a graphical user interface in Python. Some of them require licensing for commercial use and each have their own sets of learning curves. Using Tkinter avoids the licensing issues and is quite simple to use as well. It is a GUI package that is the standard GUI toolkit for python applications and is widely available on multiple platforms including Windows, Mac, and Linux.
Read more
A graphical user interface can be a nice alternative to using the command line for running programs, as there is no need to memorize how to execute a command with arguments. A label may be added to describe what is needed for the application, for example. There are many choices for building a graphical user interface in Python. Some of them require licensing for commercial use and each have their own sets of learning curves. Using Tkinter avoids the licensing issues and is quite simple to use as well. It is a GUI package that is the standard GUI toolkit for python applications and is widely available on multiple platforms including Windows, Mac, and Linux.
Read more
A graphical user interface can be a nice alternative to using the command line for running programs, as there is no need to memorize how to execute a command with arguments. A label may be added to describe what is needed for the application, for example. There are many choices for building a graphical user interface in Python. Some of them require licensing for commercial use and each have their own sets of learning curves. Using Tkinter avoids the licensing issues and is quite simple to use as well. It is a GUI package that is the standard GUI toolkit for python applications and is widely available on multiple platforms including Windows, Mac, and Linux.
In this course, you will implement a Tkinter GUI to read from a user-provided file containing data. The GUI will allow the user to plot columnar data as X and Y coordinates on a regression graph, and display statistics about the data from each of the selected columns.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/71eg07/build
What's inside
Syllabus
Build a Python GUI with Tkinter
A graphical user interface can be a nice alternative to using the command line for running programs, as there is no need to memorize how to execute a command with arguments. A label may be added to describe what is needed for the application, for example. There are many choices for building a graphical user interface in Python. Some of them require licensing for commercial use and each have their own sets of learning curves. Using Tkinter avoids the licensing issues and is quite simple to use as well. It is a GUI package that is the standard GUI toolkit for python applications and is widely available on multiple platforms including Windows, Mac, and Linux.
In this course, you will implement a Tkinter GUI to read from a user-provided file containing data. The GUI will allow the user to plot columnar data as X and Y coordinates on a regression graph, and display statistics about the data from each of the selected columns.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches GUI application development using Tkinter, which is widely used and simple to implement
Provides hands-on experience in reading and analyzing data from a user-provided file
Suitable for learners interested in data visualization and building user interfaces in Python
Course materials are tailored for learners based in North America
Save this course
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Reviews summary
Refreshing gui course
According to students, this course is a good and concise introduction or refresher for learning about GUI frameworks with Tkinter. While students largely find this course to be very interesting and engaging, some have raised concerns that the course could be more explanatory. The instructor seems to be knowledgeable about the topic but some students feel they do not provide learners with the tools necessary to create original projects.
Interesting and held by knowledgeable instructor
"Very interesting course held by a trained instructor."
"Very interesting course"
Great for a refresher
"Good and concise. I wanted a refresher and I certainly got it quickly."
"Quick introduction or refresher to tkinter concepts."
Doesn't give students tools for further creation
"did not give the tools to then create its own project"
"there are no explanations on how to use the tkinter methods."
Should include more detailed explanations
"Could be more explanatory."
"The instructor seemed pretty disinterested in the material."
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 Build a Python GUI with Tkinter with these
activities:
Review Python programming basics
Show steps
Strengthen your understanding of Python fundamentals to support learning Tkinter and its application.
Browse courses on
Python
Show steps
-
Review online resources or tutorials on Python basics
-
Practice writing simple Python programs to reinforce concepts
-
Focus on data types, variables, operators, and control flow
Follow online tutorials on Tkinter
Show steps
Explore online tutorials to learn Tkinter concepts in a structured manner and at your own pace.
Browse courses on
Tkinter
Show steps
-
Identify reputable online platforms or instructors
-
Choose a tutorial that aligns with your learning goals
-
Follow the tutorial step-by-step, implementing code examples
-
Complete exercises or quizzes to assess your understanding
Solve Tkinter coding exercises
Show steps
Complete coding exercises to reinforce understanding of Tkinter concepts and improve coding proficiency.
Browse courses on
Tkinter
Show steps
-
Find online resources or textbooks with Tkinter exercises
-
Practice solving Tkinter coding exercises regularly
-
Debug and optimize your solutions
-
Seek assistance from online forums or mentors if needed
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend a virtual or in-person workshop on Tkinter
Show steps
Enroll in a workshop to benefit from live instruction, hands-on exercises, and expert guidance on Tkinter.
Browse courses on
Tkinter
Show steps
-
Network with other attendees and the instructor
-
Find and register for a workshop that fits your schedule and interests
-
Attend the workshop and actively participate in discussions and exercises
-
Follow up after the workshop by reviewing materials and practicing Tkinter
Create a Tkinter GUI for a simple data analysis tool
Show steps
Implement a Tkinter GUI to practice creating a graphical user interface for data analysis tasks.
Browse courses on
Tkinter
Show steps
-
Design the GUI layout using Tkinter widgets
-
Implement event handlers for GUI interactions
-
Parse and process data from user input
-
Visualize data using matplotlib
-
Enhance the GUI with additional features (optional)
Participate in a Tkinter-based coding challenge
Show steps
Engage in a coding challenge to apply Tkinter skills and compete against other learners.
Browse courses on
Tkinter
Show steps
-
Find a suitable coding challenge platform
-
Register and participate in a Tkinter-based challenge
-
Implement a solution using Tkinter
-
Submit your solution and review results
-
Reflect on the experience and identify areas for improvement
Create a study guide or notes summary
Show steps
Compile and organize key concepts, code snippets, and resources from the course into a comprehensive study guide for future reference.
Show steps
-
Review lecture notes, assignments, and additional resources
-
Extract and summarize important concepts and examples
-
Structure the study guide logically and include clear headings
-
Incorporate diagrams, charts, or code snippets for better understanding
Review Python programming basics
Show steps
Strengthen your understanding of Python fundamentals to support learning Tkinter and its application.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review online resources or tutorials on Python basics
- Practice writing simple Python programs to reinforce concepts
- Focus on data types, variables, operators, and control flow
Follow online tutorials on Tkinter
Show steps
Explore online tutorials to learn Tkinter concepts in a structured manner and at your own pace.
Browse courses on
Tkinter
Show steps
Show steps
Show steps
- Identify reputable online platforms or instructors
- Choose a tutorial that aligns with your learning goals
- Follow the tutorial step-by-step, implementing code examples
- Complete exercises or quizzes to assess your understanding
Solve Tkinter coding exercises
Show steps
Complete coding exercises to reinforce understanding of Tkinter concepts and improve coding proficiency.
Browse courses on
Tkinter
Show steps
Show steps
Show steps
- Find online resources or textbooks with Tkinter exercises
- Practice solving Tkinter coding exercises regularly
- Debug and optimize your solutions
- Seek assistance from online forums or mentors if needed
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend a virtual or in-person workshop on Tkinter
Show steps
Enroll in a workshop to benefit from live instruction, hands-on exercises, and expert guidance on Tkinter.
Browse courses on
Tkinter
Show steps
Show steps
Show steps
- Network with other attendees and the instructor
- Find and register for a workshop that fits your schedule and interests
- Attend the workshop and actively participate in discussions and exercises
- Follow up after the workshop by reviewing materials and practicing Tkinter
Create a Tkinter GUI for a simple data analysis tool
Show steps
Implement a Tkinter GUI to practice creating a graphical user interface for data analysis tasks.
Browse courses on
Tkinter
Show steps
Show steps
Show steps
- Design the GUI layout using Tkinter widgets
- Implement event handlers for GUI interactions
- Parse and process data from user input
- Visualize data using matplotlib
- Enhance the GUI with additional features (optional)
Participate in a Tkinter-based coding challenge
Show steps
Engage in a coding challenge to apply Tkinter skills and compete against other learners.
Browse courses on
Tkinter
Show steps
Show steps
Show steps
- Find a suitable coding challenge platform
- Register and participate in a Tkinter-based challenge
- Implement a solution using Tkinter
- Submit your solution and review results
- Reflect on the experience and identify areas for improvement
Create a study guide or notes summary
Show steps
Compile and organize key concepts, code snippets, and resources from the course into a comprehensive study guide for future reference.
Show steps
Show steps
Show steps
- Review lecture notes, assignments, and additional resources
- Extract and summarize important concepts and examples
- Structure the study guide logically and include clear headings
- Incorporate diagrams, charts, or code snippets for better understanding
Career center
Learners who complete Build a Python GUI with Tkinter will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. This course can help you develop the skills needed to succeed in this role, including data visualization, statistical analysis, and programming. With the increasing demand for data-driven decision-making, this course can help you build a strong foundation for a career as a Data Analyst.
Data Scientist
Data Scientist
Data Scientists use data to solve complex business problems. This course can help you develop the skills needed to succeed in this role, including machine learning, artificial intelligence, and data visualization. With the growing importance of data science in various industries, this course can help you build a strong foundation for a career as a Data Scientist.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course can help you develop the programming skills needed to succeed in this role, including object-oriented programming, data structures, and algorithms. With the increasing demand for software engineers, this course can help you build a strong foundation for a career in software development.
UX Designer
UX Designer
UX Designers create user-friendly and visually appealing interfaces for websites and applications. This course can help you develop the design and usability skills needed to succeed in this role, including user research, prototyping, and interaction design. With the increasing importance of user experience in product development, this course can help you build a strong foundation for a career as a UX Designer.
Web Developer
Web Developer
Web Developers design and develop websites and web applications. This course can help you develop the programming and design skills needed to succeed in this role, including HTML, CSS, JavaScript, and web frameworks. With the growing demand for web development, this course can help you build a strong foundation for a career as a Web Developer.
Project Manager
Project Manager
Project Managers plan, execute, and deliver projects. This course can help you develop the leadership and management skills needed to succeed in this role, including project planning, risk management, and communication. With the increasing demand for project managers, this course can help you build a strong foundation for a career in project management.
Business Analyst
Business Analyst
Business Analysts help businesses understand and improve their operations. This course can help you develop the analytical and problem-solving skills needed to succeed in this role, including data analysis, process improvement, and stakeholder management. With the increasing demand for business analysts, this course can help you build a strong foundation for a career in business analysis.
Product Manager
Product Manager
Product Managers lead the development and launch of new products and features. This course can help you develop the business and technical skills needed to succeed in this role, including product strategy, market research, and project management. With the increasing demand for product managers, this course can help you build a strong foundation for a career in product management.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists create visual representations of data to help people understand and make decisions. This course can help you develop the design and programming skills needed to succeed in this role, including data visualization tools, storytelling, and user experience. With the increasing demand for data visualization, this course can help you build a strong foundation for a career as a Data Visualization Specialist.
Software Architect
Software Architect
Software Architects design and develop the overall architecture of software systems. This course can help you develop the design and programming skills needed to succeed in this role, including software design patterns, software testing, and software security. With the increasing demand for software architects, this course can help you build a strong foundation for a career in software architecture.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, develop, and deploy artificial intelligence systems. This course can help you develop the programming and machine learning skills needed to succeed in this role, including natural language processing, computer vision, and robotics. With the growing demand for artificial intelligence engineers, this course can help you build a strong foundation for a career in artificial intelligence.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to make investment decisions. This course can help you develop the analytical and programming skills needed to succeed in this role, including financial modeling, risk analysis, and portfolio optimization. With the increasing demand for quantitative analysts, this course can help you build a strong foundation for a career in quantitative finance.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This course can help you develop the programming and machine learning skills needed to succeed in this role, including supervised learning, unsupervised learning, and deep learning. With the growing demand for machine learning engineers, this course can help you build a strong foundation for a career in machine learning.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and statistical models to improve the efficiency of business operations. This course can help you develop the analytical and programming skills needed to succeed in this role, including optimization, simulation, and decision analysis. With the increasing demand for operations research analysts, this course can help you build a strong foundation for a career in operations research.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access or damage. This course can help you develop the technical and analytical skills needed to succeed in this role, including network security, cryptography, and risk assessment. With the increasing demand for information security analysts, this course can help you build a strong foundation for a career in information security.
For more career information including salaries, visit:
OpenCourser.com/course/71eg07/build
Reading list
We've selected seven 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
Build a Python GUI with Tkinter.
Provides a comprehensive introduction to deep learning in Python, covering convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Save
Provides a comprehensive introduction to deep learning, covering convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Provides a comprehensive introduction to deep learning in Python, covering convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Provides a comprehensive introduction to machine learning in Python, covering supervised and unsupervised learning, feature engineering, and model evaluation.
Provides a comprehensive introduction to data analysis and visualization in Python, covering data cleaning, manipulation, and visualization.
Covers the basics of data analysis in Python, including data cleaning, manipulation, and visualization. It also provides an introduction to machine learning and deep learning.
Provides a comprehensive introduction to data analysis in Python, covering data cleaning, manipulation, visualization, and modeling.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/71eg07/build
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Effort
1 hour
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
David Dalsveen
Language
English
Good to know
Teaches GUI application development using Tkinter, which is widely used and simple to implement
Provides hands-on experience in reading and analyzing data from a user-provided file
Suitable for learners interested in data visualization and building user interfaces in Python
Course materials are tailored for learners based in North America
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