Learn Python Debugging With PyCharm IDE

Learn Python Debugging With PyCharm IDE, available at $64.99, has an average rating of 4.32, with 62 lectures, based on 69 reviews, and has 690 subscribers.

You will learn about Learn all the required skills to debug any Python application using PyCharm Master the techniques to quickly find out the root cause of the bug in a program Gain the exposure the powerful debugging features that PyCharm provides Get equipped with the skills to handle real life debugging issues This course is ideal for individuals who are Any Python Beginner or Any Python Developer or Computer science students It is particularly useful for Any Python Beginner or Any Python Developer or Computer science students.

Enroll now: Learn Python Debugging With PyCharm IDE

Summary

Title: Learn Python Debugging With PyCharm IDE

Price: $64.99

Average Rating: 4.32

Number of Lectures: 62

Number of Published Lectures: 62

Number of Curriculum Items: 62

Number of Published Curriculum Objects: 62

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Learn all the required skills to debug any Python application using PyCharm

Master the techniques to quickly find out the root cause of the bug in a program

Gain the exposure the powerful debugging features that PyCharm provides

Get equipped with the skills to handle real life debugging issues

Who Should Attend

Any Python Beginner

Any Python Developer

Computer science students

Target Audiences

Any Python Beginner

Any Python Developer

Computer science students

PyCharmis 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 Solutionsand

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.

Course Curriculum

Chapter 1: Getting Started

Lecture 1: Course Overview

Lecture 2: Udemy Tips (Important)

Lecture 3: How To Go Through The Course (Important)

Chapter 2: Environment Setup

Lecture 1: Python Installation

Lecture 2: PyCharm Installation – Community Edition

Lecture 3: PyCharm Installation – Professional Edition

Lecture 4: PyCharm Community Edition vs Professional Edition

Lecture 5: Download Code and Setup Project

Chapter 3: Basic Debugging Features

Lecture 1: Place breakpoints and run a program in debug mode

Lecture 2: Control a program execution during debugging

Lecture 3: 3 ways to Inspect variables during Debug Session

Lecture 4: Change Variable Values during Debugging

Lecture 5: Smart Step Into And Run To Cursor

Lecture 6: Evaluate Expressions ,Watch and Inline Watch

Lecture 7: Using Conditional Breakpoints

Lecture 8: Using Exception Breakpoints

Lecture 9: Ignore Library Files for Exception Breakpoints

Lecture 10: Attach debugger to a Python local process

Lecture 11: Show Execution Point

Chapter 4: Advanced Debugging Features

Lecture 1: Use of Frames

Lecture 2: Prevent Stepping Into Libraries

Lecture 3: Managing The Breakpoints

Lecture 4: Debug Django Web Application

Lecture 5: Debug Flask Web Application

Lecture 6: Debug Jupyter Notebook from PyCharm Professional Edition

Lecture 7: Remote Debugging using SSH Interpreter

Lecture 8: Debugging in Docker using Dockerfile

Lecture 9: Debug Django inside Docker Container using docker-compose

Lecture 10: Debug Flask inside Docker Container using docker-compose

Chapter 5: Important Points to note before working on debugging issues/problems

Lecture 1: Key points to follow during debugging

Chapter 6: Simple Debugging Problem Scenarios and Hands-on Solutions

Lecture 1: BMI Calculation Problem Scenario

Lecture 2: BMI Calculation Solution

Lecture 3: Buy Candies Problem Scenario

Lecture 4: Buy Candies Solution

Lecture 5: Calculate Score Problem Scenario

Lecture 6: Calculate Score Solution

Lecture 7: Coin Toss Problem Scenario

Lecture 8: Coin Toss Solution

Lecture 9: Find Books Problem Scenario

Lecture 10: Find Books Solution

Lecture 11: Print Fibonacci Problem Scenario

Lecture 12: Print Fibonacci Solution

Lecture 13: Remove Furniture Problem Scenario

Lecture 14: Remove Furniture Solution

Lecture 15: Simple Addition Problem Scenario

Lecture 16: Simple Addition Solution

Lecture 17: Dice Game Problem Scenario

Lecture 18: Dice Game Solution

Chapter 7: Advanced Debugging Problem Scenarios and Hands-on Solutions

Lecture 1: Prime Dates Problem Scenario

Lecture 2: Prime Dates Solution

Lecture 3: Print Pyramid Problem Scenario

Lecture 4: Print Pyramid Solution

Lecture 5: Multi Threaded Download Problem Scenario

Lecture 6: Multi Threaded Download Solution

Lecture 7: Appstore Data Panda Modification Problem Scenario

Lecture 8: Appstore Data Panda Modification Solution

Lecture 9: Zigzag Sequence Problem Scenario

Lecture 10: Zigzag Sequence Solution

Lecture 11: Flask CRUD Application Problem Scenario

Lecture 12: Flask CRUD Application Solution

Chapter 8: Thank You

Lecture 1: Thank You Note and Feedback About This Course

Chapter 9: Bonus Section

Lecture 1: Slack Group for students

Instructors

Learning From Experience
Big Data and Cloud Solution Architect

Rating Distribution

1 stars: 1 votes

2 stars: 2 votes

3 stars: 6 votes

4 stars: 15 votes

5 stars: 45 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!