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Debugging in Python

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

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

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Explore additional tutorials and resources on Python debugging to supplement your learning.

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Search for online tutorials or articles on Python debugging.
Follow the tutorials and practice the techniques discussed.

Peer Mentoring on Python Debugging

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Engage with fellow learners by providing guidance and support on Python debugging, solidifying your understanding and fostering a collaborative learning environment.

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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

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Engage with peers to discuss and solve Python debugging challenges, reinforcing your understanding.

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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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Interactive Coding Exercises

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Solve hands-on coding challenges that focus on identifying and resolving errors, enhancing your debugging skills.

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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

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Create a collection of resources and tools to assist with debugging Python code, reinforcing your understanding and providing a valuable reference.

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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

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Apply debugging techniques to a practical Python project, solidifying your understanding and developing your problem-solving abilities.

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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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Machine Learning Engineer

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.

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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.

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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.

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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.

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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.

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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.

See salaries and explore the career path for Information Security Analyst

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

Beyond the Basic Stuff with Python

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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.

Debugging in Python

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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