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

Traffic lights

Read about what's good

what should give you pause

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

Reviews summary

Boost python productivity with pycharm ide

According to students, this course offers a solid introduction to using an Integrated Development Environment (IDE), primarily focusing on PyCharm, to enhance Python coding productivity. Learners found the coverage of essential IDE features like debugging, refactoring, and code checking to be clear and practical. While largely seen as beneficial for intermediate Python users seeking to streamline their workflow, some experienced developers felt the content was too basic. The section on data science applications was noted by a few as less in-depth, suggesting it serves more as an overview than a deep dive. Overall, the course is praised for its hands-on demonstrations and ability to significantly improve a developer's efficiency.

Heavily emphasizes PyCharm, which is both a strength and limitation.

"The course is great for getting started with PyCharm and understanding its basic features."

"It focuses heavily on PyCharm, which is good if that's what you want, but I was hoping for a broader look at other IDEs beyond just mentioning them."

"I use VS Code primarily and this course was 90% PyCharm. Needs more variety."

Older outdated concerns not seen in recent reviews.

"This course felt very outdated. Many of the features demonstrated for PyCharm are standard now and there's nothing new here. The production quality was low and the instructor mumbled."

"I found the debugging section particularly useful for my daily work."

"The explanation of code checking and refactoring was clear."

Provides a strong foundation for those new to using IDEs.

"Good course for beginners. The hands-on demos were very helpful."

"It's really for someone who has never touched an IDE."

"I gained a solid foundation from completing this course."

Clear explanations and helpful hands-on demonstrations.

"The instructor explains things clearly, but I wish there were more advanced topics or challenges."

"The hands-on demos were very helpful."

"Excellent teaching. I found the detailed walkthroughs of PyCharm features invaluable."

Significantly improves coding efficiency for many Python users.

"Absolutely fantastic! This course transformed how I code in Python. Learning to navigate PyCharm efficiently and use features like refactoring and unit testing has made me so much more productive."

"This course is a game-changer for anyone struggling with productivity in Python. The detailed walkthroughs of PyCharm features were invaluable."

"I'm now much faster at identifying and fixing bugs thanks to the debugging lessons."

The data science module is brief and lacks depth.

"The data science section felt a bit superficial, just touching on Jupyter Notebooks."

"The section on scientific Python was very brief and could be expanded upon."

"I expected more in-depth coverage on leveraging IDEs for data science specific workflows."

Experienced developers may find the content overly foundational.

"I was disappointed. As an experienced Python developer, I found this course too basic. The title 'Programming Python Using an IDE' is a bit misleading if you expect advanced usage."

"If you're already familiar with an IDE like VS Code, you might not find much new here."

"I already knew some basics so it was mostly a refresher."

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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Show all four activities

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 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

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

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

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

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

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

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

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

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

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

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