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Douglas Starnes

This course will teach you techniques and tools for identifying and understand errors in your Python code

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This course will teach you techniques and tools for identifying and understand errors in your Python code

In this course, Debugging in Python, you’ll learn to debug Python applications to identify and understand errors in the code. First, you’ll explore pdb, the Python command line debugger and other tools to help the debug process. Next, you’ll discover how to use the Python extension for Visual Studio Code to debug Python and even debug remote applications and Docker containers. Finally, you’ll learn how to use the capabilities of the PyCharm debugger to remove errors. When you’re finished with this course, you’ll have the skills and knowledge of Python debugging needed to remove and eliminate errors and bugs for a better user experience.

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What's inside

Syllabus

Course Overview
Debugging Python Code at the Command Line
Advanced Debugging with pdb and Friends
Debugging Python Code with Visual Studio Code
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Advanced Visual Studio Code Debugging
Using PyCharm to Debug Your Python Code

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops practical skills for identifying and resolving common errors in Python code
Covers a range of debugging tools and techniques, including pdb and Visual Studio Code
Provides opportunities for hands-on practice in debugging Python applications
Guided by instructors with expertise in debugging and software development
Suitable for Python developers looking to improve their debugging skills and enhance the stability and quality of their code

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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 Debugging in Python with these activities:
External Resources for Python Debugging
Explore additional tutorials and resources on Python debugging to supplement your learning.
Show steps
  • Search for online tutorials or articles on Python debugging.
  • Follow the tutorials and practice the techniques discussed.
Peer Mentoring on Python Debugging
Engage with fellow learners by providing guidance and support on Python debugging, solidifying your understanding and fostering a collaborative learning environment.
Show steps
  • Identify a fellow learner who needs assistance with Python debugging.
  • Offer your help and guide them through debugging techniques.
  • Discuss error messages, debugging tools, and problem-solving strategies.
Discussion Forum Participation
Engage with peers to discuss and solve Python debugging challenges, reinforcing your understanding.
Show steps
  • Join the course discussion forum.
  • Post questions or insights related to Python debugging.
  • Respond to questions and engage with others' posts.
Three other activities
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Show all six activities
Interactive Coding Exercises
Solve hands-on coding challenges that focus on identifying and resolving errors, enhancing your debugging skills.
Show steps
  • Find interactive coding exercises online or in resources provided by the course.
  • Attempt to solve the exercises, focusing on understanding error messages and using debugging tools.
  • Review solutions and seek assistance if needed.
Python Debugging Toolkit
Create a collection of resources and tools to assist with debugging Python code, reinforcing your understanding and providing a valuable reference.
Show steps
  • Gather various Python debugging tools such as libraries, extensions, and online resources.
  • Organize and categorize the tools based on their functionality.
  • Create a documentation or tutorial explaining how to use each tool.
Debug a Real-World Python Project
Apply debugging techniques to a practical Python project, solidifying your understanding and developing your problem-solving abilities.
Show steps
  • Choose a small to medium-sized Python project that you are interested in.
  • Introduce intentional errors or bugs into the code.
  • Use debugging tools and techniques to identify and fix the errors.
  • Document your debugging process and results.

Career center

Learners who complete Debugging in Python will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use data to solve business problems. This course would be helpful for this career because it teaches techniques and tools for identifying and understanding errors in Python code. This knowledge would help a Data Scientist to write more efficient and bug-free code.
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning systems. This course would be helpful for this career because it teaches techniques and tools for identifying and understanding errors in Python code. This knowledge would help a Machine Learning Engineer to write more efficient and bug-free code.
Software Engineer
Software Engineers analyze user needs, design, and develop software systems. This course would be helpful for this career because it teaches techniques and tools for identifying and understanding errors in Python code. This knowledge would help a Software Engineer to write more efficient and bug-free code.
Data Analyst
Data Analysts collect, analyze, and interpret data to provide insights to organizations. This course would be helpful for this career because it teaches techniques and tools for identifying and understanding errors in Python code. This knowledge would help a Data Analyst to write more efficient and bug-free code.
Database Administrator
Database Administrators design, implement, and maintain databases. This course would be helpful for this career because it teaches techniques and tools for identifying and understanding errors in Python code. This knowledge would help a Database Administrator to write more efficient and bug-free code.
Web Developer
Web Developers design, develop, and maintain websites and web applications. This course would be helpful for this career because it teaches techniques and tools for identifying and understanding errors in Python code. This knowledge would help a Web Developer to write more efficient and bug-free code.
Network Administrator
Network Administrators design, implement, and maintain computer networks. This course would be helpful for this career because it teaches techniques and tools for identifying and understanding errors in Python code. This knowledge would help a Network Administrator to write more efficient and bug-free code.
Information Security Analyst
Information Security Analysts design, implement, and maintain security measures to protect an organization's computer systems and data. This course would be helpful for this career because it teaches techniques and tools for identifying and understanding errors in Python code. This knowledge would help an Information Security Analyst to write more secure code.
IT Manager
IT Managers plan, organize, and direct the activities of an organization's IT department. This course would be helpful for this career because it teaches techniques and tools for identifying and understanding errors in Python code. This knowledge would help an IT Manager to make better decisions about the IT systems and services that their organization uses.
Technical Writer
Technical Writers create documentation for technical products and services. This course would be helpful for this career because it teaches techniques and tools for identifying and understanding errors in Python code. This knowledge would help a Technical Writer to write more accurate and error-free documentation.
Systems Administrator
Systems Administrators install, configure, and maintain computer systems. This course would be helpful for this career because it teaches techniques and tools for identifying and understanding errors in Python code. This knowledge would help a Systems Administrator to write more efficient and bug-free code.
Computer Programmer
Computer Programmers write, test, and maintain computer programs. This course would be helpful for this career because it teaches techniques and tools for identifying and understanding errors in Python code. This knowledge would help a Computer Programmer to write more efficient and bug-free code.
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, develop, and maintain artificial intelligence systems. This course would be helpful for this career because it teaches techniques and tools for identifying and understanding errors in Python code. This knowledge would help an Artificial Intelligence Engineer to write more efficient and bug-free code.
Computer Systems Analyst
Computer Systems Analysts study an organization's current computer systems and procedures, and design changes to improve efficiency. This course would be helpful for this career because it teaches techniques and tools for identifying and understanding errors in Python code. This knowledge would help a Computer Systems Analyst to understand the errors in the systems they are working on.
Computer and Information Research Scientist
Computer and Information Research Scientists conduct research in the field of computer and information sciences to advance the knowledge of computing. This course would be helpful for this career because it teaches techniques and tools for identifying and understanding errors in Python code. This knowledge would help a Computer and Information Research Scientist to write more efficient and bug-free code.

Reading list

We've selected 11 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 Debugging in Python.
Provides a comprehensive guide to debugging Python code, covering topics such as using the Python debugger, logging, and unit testing. It valuable resource for anyone who wants to improve their Python debugging skills.
Provides a detailed overview of the Python debugger (PDB), covering topics such as setting breakpoints, examining variables, and stepping through code. It valuable resource for anyone who wants to learn more about using PDB to debug Python code.
Provides a collection of practical tips and techniques for writing better Python code. It covers topics such as code style, error handling, and performance optimization. It valuable resource for anyone who wants to improve their Python coding skills.
Provides a collection of recipes for common programming tasks in Python. It covers topics such as data structures, algorithms, and web development. It valuable resource for anyone who wants to learn more about Python or find solutions to common programming problems.
Provides a comprehensive introduction to Python, covering topics such as data types, control flow, and object-oriented programming. It valuable resource for anyone who is new to Python or wants to learn more about the basics.
Provides a practical introduction to Python, covering topics such as data manipulation, web scraping, and automating tasks. It valuable resource for anyone who wants to learn more about Python or use it to automate tasks.
Provides a detailed overview of Python, covering topics such as data types, control flow, and object-oriented programming. It valuable resource for anyone who wants to learn more about the advanced features of Python.
Provides a comprehensive guide to testing Python code with pytest. It covers topics such as writing tests, running tests, and debugging tests. It valuable resource for anyone who wants to learn more about testing Python code.
Provides a collection of practical projects for Python programmers. It covers topics such as data analysis, web development, and machine learning. It valuable resource for anyone who wants to learn more about Python or use it to build real-world applications.
Provides a comprehensive overview of Python, covering topics such as data types, control flow, and object-oriented programming. It valuable resource for anyone who is new to Python or wants to learn more about the basics.
Provides a quick introduction to Python, covering topics such as data types, control flow, and object-oriented programming. It valuable resource for anyone who is new to Python or wants to learn more about the basics.

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