How to Install and Activate JetBrains PyCharm Professional 2018.3.4
PyCharm is a powerful and versatile Python IDE that offers a range of features for web development, data science, and more. In this article, we will show you how to download, install, and activate PyCharm Professional 2018.3.4 on your Windows, macOS, or Linux machine.
Download PyCharm Professional 2018.3.4
To download PyCharm Professional 2018.3.4, you can visit the official website[^2^] and choose the version that matches your operating system. Alternatively, you can use the Toolbox App[^2^] to download PyCharm and its future updates with ease.
The download file is an executable installer that will guide you through the installation process. You can choose the installation directory, the components to install, and the shortcuts to create.
Activate PyCharm Professional 2018.3.4
To activate PyCharm Professional 2018.3.4, you will need a valid license key that you can purchase from the JetBrains website or obtain from your organization if you are using a corporate license. You can also use a free 30-day trial available for new users.
Once you have your license key, you can follow these steps to activate PyCharm Professional 2018.3.4:
Open your IDE. If the activation dialog doesn't appear straight away, go to Help Register and click Activate New License.
In the Get license from section, select Activation code.
Drag and drop the file with the activation code into the dialog or copy the code and paste it into the corresponding field.
Congratulations! You have successfully installed and activated PyCharm Professional 2018.3.4 on your machine. You can now enjoy all the features and benefits of this powerful Python IDE.Getting Started with PyCharm Professional 2018.3.4
Now that you have installed and activated PyCharm Professional 2018.3.4, you can start creating and working on your Python projects. In this section, we will show you how to create a new Python project, how to run and debug your code, and how to use some of the features of PyCharm Professional.
Creating a New Python Project
To create a new Python project in PyCharm Professional 2018.3.4, you can follow these steps:
From the Welcome screen, click Create New Project. Alternatively, you can go to File New Project from the main menu.
In the New Project dialog, choose the project type, name, and location. You can also select the Python interpreter to use for the project, either from your system or from a virtual environment.
Click Create to generate the project structure and files.
You will see your new project opened in the PyCharm window, with the Project tool window on the left showing the project files and folders, and the Editor on the right showing the code.
Running and Debugging Your Code
To run and debug your Python code in PyCharm Professional 2018.3.4, you can use the Run and Debug tools that are available from the main toolbar, the Run menu, or the context menu of the Editor.
To run your code, you can simply click the green Run button or press Shift+F10. PyCharm will execute your code in a dedicated Run tool window at the bottom of the screen, where you can see the output and any errors or warnings.
To debug your code, you can set breakpoints in your code by clicking on the left gutter of the Editor or pressing Ctrl+F8. Breakpoints are marked by red circles that indicate where the execution will pause when you start debugging. You can also add watches and expressions to evaluate variables and expressions during debugging.
To start debugging, you can click the green Debug button or press Shift+F9. PyCharm will launch your code in a dedicated Debug tool window at the bottom of the screen, where you can see the variables, frames, consoles, and other debugging tools. You can use the buttons on the toolbar to step over, step into, step out, resume, or stop debugging.
Using Some of the Features of PyCharm Professional
PyCharm Professional 2018.3.4 offers a range of features that can help you write better Python code faster and easier. Here are some of them:
Code completion: PyCharm provides intelligent code completion that suggests relevant names and keywords as you type. You can press Ctrl+Space to invoke code completion manually or enable auto-completion in Settings Editor General Code Completion.
Code analysis: PyCharm analyzes your code for syntax errors, style issues, potential bugs, and other problems. You can see the results of code analysis in the Editor as red or yellow squiggly lines under problematic code or as icons in the right gutter. You can hover over them to see more details or press Alt+Enter to see quick-fix suggestions.
Refactoring: PyCharm allows you to perform various refactoring operations on your code, such as renaming variables, extracting methods, moving classes, and more. You can access refactoring options from the Refactor menu or by pressing Ctrl+Alt+Shift+T.
Testing: PyCharm supports various testing frameworks for Python, such as unittest, pytest, nose, and more. You can create and run tests from within PyCharm using the Test Runner tool window. You can also see test results and coverage reports in dedicated tool windows.
Data science: PyCharm Professional 2018.3.4 supports data science with Python libraries such as NumPy, pandas, matplotlib, scikit-learn, and more. You can create data science projects using templates, use code completion and navigation for data analysis and visualization code, work with Jupyter notebooks in a dedicated 29c81ba772