Learn Python Debugging With PyCharm IDE

About Learn Python Debugging With PyCharm IDE

Disclaimer:

This course requires you to download Docker Desktop from its official website. If you are a Udemy Business user, please check with your employer before downloading software.

PyCharm

is one of the most popular IDEs used for Python programming. This course is an entirely hands-on and an example-based comprehensive course, which would guide you to learn and master the essentials of Python Debugging using the popular PyCharm IDE.

Powerful Debugging Skill at Your Fingertips

While working on real-life Python projects or learning the language, debugging is a crucial aspect that you must learn to handle programming-related issues or understand any application flow properly. This course will give you a strong background to easily learn and master the debugging techniques and tricks using PyCharm.

Content and Overview

The entire course is broken down into the following categories:

Basic Debugging Features

Advanced Debugging Features

Basic Debugging Features

Simple Debugging Problem Scenarios and Hands-on Solutions

Advanced Debugging Problem Scenarios and Hands-on Solutions

The Basic Debugging Features covered:

Place breakpoints and run a program in debug mode

Control a program execution during debugging

3 ways to Inspect variables during Debug Session

Change Variable Values during Debugging

Smart Step Into And Run To Cursor

Evaluate Expressions, Watch and Inline Watch

Using Conditional Breakpoints

Using Exception Breakpoints

Ignore Library Files for Exception Breakpoints

Attach debugger to a Python local process

Show Execution Point

The Advanced Debugging Features covered:

Use of Frames

Prevent Stepping Into Libraries

Managing The Breakpoints

Debug Django Web Application

Debug Flask Web Application

Debug Jupyter Notebook from PyCharm Professional Edition

Remote Debugging using SSH Interpreter

Debugging in Docker using Dockerfile

Debug Django inside Docker Container using docker-compose

Debug Flask inside Docker Container using docker-compose The course initially starts with the basics of debugging and then slowly moves to the practical aspects of debugging with easy examples. Once the primary aspects are covered, the basic and advanced debugging features of PyCharm are explained. The sections

Simple Debugging Problem Scenarios and Hands-on Solutions

and

Advanced Debugging Problem Scenarios and Hands-on Solutions

is about sample problem solving on Debugging problem scenarios by applying the debugging skills you have learned from the course. By the end of this course, you will master the fundamentals needed for Debugging Python based applications using PyCharm IDE.