PyCharm Software Application Tutorial

Learn PyCharm San Francisco

PyCharm is an IDE (Integrated Development Environment) where you can write programs and make use of a variety of Python tools.

Understanding IDEs

An IDE is a type of software environment that combines all the tools and features that a software developer needs in one place, letting you write programs while taking advantage of tools like a compiler and editor. IDEs are graphical, so you will find controls and windows to show the information and accept your input. 

While they are not essential, they can be incredibly helpful for programmers, and frequently include specific tools. 

Text Editor

Lets you input, arrange and comment on code in the programming language of your choice. 

Project Editor

Shows the files in your software project. 


Shows the various functions that your environment is capable of performing via buttons. 

Output Viewer

Shows environment-generated messages during operations. 

Benefits of Using an IDE

So, how does using PyCharm make your life easier? Below are just a few ways developers find IDEs to be advantageous.

  • Using code insight, the program can interpret the code you type out.
  • Some create changes in text color based on variables, functions and classes.
  • Some include predictive abilities.
  • IDEs help debug programs — You can run the program and stop the code at various points to confirm variable values or other interests. This functionality lets you ensure that your functions and code run as you want them to.
  • They provide resource management.
  • They let you compile your code. 

For most programmers, the largest advantages of working with an IDE like PyCharm are the improved efficiency of your coding, the ability to easily collaborate and the simplicity of project management. 

Getting to Know PyCharm

PyCharm is a cross-platform IDE developed by JetBrains that includes a range of features and tools that help Python programmers quickly write a full range of software applications.

You can use PyCharm with the 2.x and the 3.x versions of Python, and it is compatible with macOS, Windows and Linux.

Plug-Ins Available

You can supplement PyCharm with more than 50 plug-ins as well as customize the PyCharm user interface depending on your preferences. 

Incredibly Popular

Among the various IDEs, PyCharm is among the most popular. Big names like Groupon, Symantec, HP, Pinterest and Twitter all use it. 

Community and Professional Versions Available

When you download and install PyCharm, you will notice that there are community and professional versions available. The community version is free, but you need a license to use the professional version. Most beginner to intermediate Python programmers will be perfectly content with the community version. 


Some of the most important features in PyCharm are refactoring, code navigation and code editing. You also get support for Python scientific libraries, popular Python web frameworks and popular web technologies. 

The Code Editor

One of the most important features in PyCharm is its intelligent code editor that lets you easily write high-quality code in Python. Using the editor makes it simpler to read your code with color schemes and automatic insert indents on new lines as well as context-aware suggestions for code completion and a variety of coding styles. Additionally, the code editor makes analyzing code much more straightforward for programmers, which helps with the identification and prevention of errors. 

Use your Python skills to expand your code block for a logical block or expression, formatting the code base, availing code snippets, detecting duplicate code, auto-generating code and identifying misspellings and errors. 

The Code Navigation

PyCharm’s smart code navigation assists programmers who want to improve or edit code with minimal effort. Using the IDE, you can easily go to a file, symbols or class or use go-to declarations from your reference. 

PyCharm also makes it easy to find items in your code snippet, UI elements, source code or user actions nearly instantly. You can even set bookmarks in your code and locate when a specific symbol is used. 

There is also a lens mode in PyCharm that lets you thoroughly scrutinize your code. 


In terms of refactoring, PyCharm makes it simple for a developer to quickly and efficiently implement a local or global change. You can also use refactoring options that the IDE provides as you work with Python frameworks and write plain code in Python. You can make use of rename or move for refactoring of classes, files, functions, properties, methods, parameters and global or local variables. 

PyCharm also lets you extract variables, parameters, constants and fields to improve the quality of the code, as well as break up the longer methods and classes using the extract method. 

PyCharm Has Great Support for Other Technology, Frameworks and More

Most frameworks and popular web technologies are compatible with PyCharm

Popular Technologies on the Web

Some of the most popular technologies on the web that PyCharm supports include TypeScript, JavaScript, HTML, CSS and CoffeeScript. If you are a web developer, you can use the option of a live editing preview to view code changes instantly on your web browser. 

PyCharm also has support for JavaScript debugger, TypeScript editor and CoffeeScript editor and supports NodeJS and AngularJS, making it easier to complete isomorphic web application development projects. 

Popular Web Frameworks for Python

PyCharm provides support for various popular Python web frameworks, including Django. Using the IDE, you can get code completion suggestions on Django parameters, filters, tags and template variables, as well as gather information related to filters and tags with quick documentation. PyCharm additionally helps with debugging Django templates, formatting and verifying the code and managing the .py consoles. 

PyCharm also supports other popular Python web frameworks via code completion and navigation options, including Web2Py and Pyramid.

Python Libraries

Using PyCharm also gives you support for the various scientific libraries, including Matplotlib, Anaconda and NumPy.

*Please note, these articles are for educational purposes and the topics covered may not be representative of the curriculum covered in our boot camp. Explore our curriculum to see what you’ll learn in our program.

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