Programming Python Using an IDE from Pluralsight

Once you have learned the foundations of Python, the next step to increase your productivity is learning how to be proficient with a development environment or IDE. This course will help you get started.

Learning and becoming proficient with Python is one of the best decisions a coder can make. The simplicity of Python, along with the many libraries available make it one of the most productive languages you can use.

This course, Programming Python Using an IDE, will help you use an IDE to take your coding skills one level higher!

First, you will explore the selection of popular IDEs and how they can help you improve your productivity. Next, you will learn about the many features that make IDEs great for creating applications including syntax highlighting, refactoring, code checking, and more. You will also discover some other features that help you run, debug, unit test, and source control your code. Finally, you will see how some IDEs have features that are meant for scientific Python and creating data science applications.

By the end of this course, you will know and understand how IDEs can help you be a more productive developer.

What's inside

Syllabus

Course Overview

Programming Python Using an IDE! But Why? And Which One?

Improving Your Productivity Programming in Python with an IDE

Leveraging a Python IDE for Data Science

Final Takeaway

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Emphasizes the importance of development environments for enhancing productivity when coding in Python

Provides a foundational understanding of Python programming before delving into IDE usage

Introduces various popular IDEs and highlights how they can streamline Python coding

Covers a range of IDE features, including debugging, unit testing, and code refactoring

Explores the use of specific IDEs for data science applications

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 Programming Python Using an IDE with these activities:

Review Python fundamentals

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Enhance your understanding of Python's core concepts and syntax before delving into IDE usage.

Browse courses on Python Basics

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Revisit tutorials or documentation on Python data types, variables, operators, and control flow
Practice writing simple Python programs to reinforce your understanding
Review examples of Python code to solidify your knowledge

Practice multiple Python examples

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Practice and solidify your Python programming skills through hands-on exercises.

Browse courses on Python Programming

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Find various examples of Python code online
Analyze and understand the code
Run the code and observe the results
Modify the code to experiment with different inputs and scenarios

Read 'Fluent Python'

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Gain a deeper understanding of Python's idiomatic usage and advanced concepts by reading this highly regarded book.

View Fluent Python on Amazon

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Read and study the book's chapters, focusing on the topics covered in the course
Take notes and highlight important concepts
Reflect on the concepts presented and how they relate to your Python learning

One other activity

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Build a Python project

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Further enhance your Python skills by creating a project that demonstrates your understanding of IDE features.

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Choose a project idea that aligns with your interests and course learnings
Plan and design your project, including the project structure and features
Implement your project using Python and an IDE, leveraging its features for efficiency
Test and debug your project to ensure it functions correctly
Share your project with others for feedback and improvement

Career center

Learners who complete Programming Python Using an IDE will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts translate raw data into insights that can be used to make informed decisions. Their work is used in a wide variety of industries, including healthcare, finance, and retail. Python is a popular language for Data Analytics, and an IDE can help Data Analysts be more productive by providing features such as syntax highlighting, refactoring, code checking, and unit testing.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. Python is a popular language for Data Science, and an IDE can help Data Scientists be more productive by providing features such as syntax highlighting, refactoring, code checking, and unit testing.

See salaries and explore the career path for Data Scientist

Programmer

Programmers write, test, and maintain the code that makes software applications work. Python is a popular language for Programming, and an IDE can help Programmers be more productive by providing features such as syntax highlighting, refactoring, code checking, and unit testing.

See salaries and explore the career path for Programmer

Software Developer

Software Developers design, develop, and maintain software applications. Python is a popular language for Software Development, and an IDE can help Software Developers be more productive by providing features such as syntax highlighting, refactoring, code checking, and unit testing.

See salaries and explore the career path for Software Developer

Software Engineer

Software Engineers design, develop, and maintain software applications. Python is a popular language for Software Engineering, and an IDE can help Software Engineers be more productive by providing features such as syntax highlighting, refactoring, code checking, and unit testing.

See salaries and explore the career path for Software Engineer

Python Developer

Python Developers use the Python programming language to develop and maintain software applications. An IDE can help Python Developers be more productive by providing features such as syntax highlighting, refactoring, code checking, and unit testing.

See salaries and explore the career path for Python Developer

Web Programmer

Web Programmers write, test, and maintain the code that makes websites and web applications work. Python is a popular language for Web Programming, and an IDE can help Web Programmers be more productive by providing features such as syntax highlighting, refactoring, code checking, and unit testing.

See salaries and explore the career path for Web Programmer

Machine Learning Engineer

Machine Learning Engineers design and build machine learning models. Python is a popular language for Machine Learning, and an IDE can help Machine Learning Engineers be more productive by providing features such as syntax highlighting, refactoring, code checking, and unit testing.

See salaries and explore the career path for Machine Learning Engineer

Web Developer

Web Developers design and develop websites and web applications. Python is a popular language for Web Development, and an IDE can help Web Developers be more productive by providing features such as syntax highlighting, refactoring, code checking, and unit testing.

See salaries and explore the career path for Web Developer

Data Engineer

Data Engineers design, build, and maintain the infrastructure and pipelines that are used to store, process, and analyze data. Python is a popular language for Data Engineering, and an IDE can help Data Engineers be more productive by providing features such as syntax highlighting, refactoring, code checking, and unit testing.

See salaries and explore the career path for Data Engineer

Computer Programmer

Computer Programmers write, test, and maintain the code that makes software applications work. Python is a popular language for Computer Programming, and an IDE can help Computer Programmers be more productive by providing features such as syntax highlighting, refactoring, code checking, and unit testing.

See salaries and explore the career path for Computer Programmer

Data Mining Analyst

Data Mining Analysts collect, clean, and analyze large datasets to identify trends and patterns. Python is a popular language for Data Mining, and an IDE can help Data Mining Analysts be more productive by providing features such as syntax highlighting, refactoring, code checking, and unit testing.

See salaries and explore the career path for Data Mining Analyst

Software Analyst

Software Analysts gather and analyze user requirements to design and implement software applications. Python is a popular language for Software Analysis, and an IDE can help Software Analysts be more productive by providing features such as syntax highlighting, refactoring, code checking, and unit testing.

See salaries and explore the career path for Software Analyst

Information Security Analyst

Information Security Analysts design and implement security measures to protect computer systems and networks. Python is a popular language for Information Security, and an IDE can help Information Security Analysts be more productive by providing features such as syntax highlighting, refactoring, code checking, and unit testing.

See salaries and explore the career path for Information Security Analyst

Systems Administrator

Systems Administrators install, configure, and maintain computer systems and networks. Python is a popular language for Systems Administration, and an IDE can help Systems Administrators be more productive by providing features such as syntax highlighting, refactoring, code checking, and unit testing.

See salaries and explore the career path for Systems Administrator