PyCharm is a free Python IDE with the complete set of tools for productive development with the Python programming language. In addition, the IDE allocates high-class capabilities for professional Web development with the Django framework. Intelligent PC Python IDE with refactorings, debugger, code completion, on-the-fly code analysis, and coding productivity orientation.
Behind every running application or website, there are thousands of lines of code specially written down to reduce the risk of issues and make features perfectly function. In other words, developers put various programming languages to good use, and this particular application promises to make Python-related projects easier to manage.
Python software users are working as a programmer, you probably understand the importance of having the right tool that can help you simplify your work.
Although you can use a simple text editor to create or edit your source code, turning to specialized third-party software can yield quicker, more efficient results. One of the applications mentioned above is PyCharm.
Please note that, in order to run this application as intended, Python software needs to provide it with a suitable Python interpreter beforehand, as creating a project without one is not possible.
Intelligent Coding Assistance
Intelligent Code Editor
Smart Code Navigation
Use smart search to jump to any class, file or symbol, or even any IDE action or tool window. It only takes one click to switch to the declaration, super method, test, usages, implementation, and more.
Fast and Safe Refactorings
Refactor your code the intelligent way, with safe Rename and Delete, Extract Method, Introduce Variable, Inline Variable or Method, and other refactorings. Language and framework-specific refactorings help you perform project-wide changes.
Built-in Developer Tools
Debugging, Testing and Profiling
VCS, Deployment and Remote Development
Save time with a unified UI for working with Git, SVN, Mercurial or other version control systems. Run and debug your application on remote machines. Easily configure automatic deployment to a remote host or VM and manage your infrastructure with Vagrant and Docker.
Access Oracle, SQL Server, PostgreSQL, MySQL and other databases right from the IDE. Rely on this Python software help when editing SQL code, running queries, browsing data, and altering schemas.
Python Web frameworks
Python software offers great framework-specific support for modern web development frameworks such as Django, Flask, Google App Engine, Pyramid, and web2py, including Django templates debugger, manage.py, and appcfg.py tools, special autocompletion and navigation, just to name a few.
Live Editing Preview lets you open a page in the editor and the browser and see the changes being made in code instantly in the browser. Python software auto-saves your changes, and the browser smartly updates the page on the fly, showing your edits.
Interactive Python console
This software can run a REPL Python console in Python software which offers many advantages over the standard one like on-the-fly syntax check with inspections, braces, and quotes matching, and of course code completion.
Scientific Stack Support
Python software has built-in support for scientific libraries. This software supports Pandas, Numpy, Matplotlib, and other scientific libraries, offering you best-in-class code intelligence, graphs, array viewers and much more.
Keep your dependencies isolated by having separate Conda environments per project, Python software makes it easy for you to create and select the right environment.
Customizable and Cross-platform IDE
This software has yet to meet one, so this Python software made PyCharm UI customization a breeze. Enjoy a fine-tuned workspace with customizable color schemes and key-bindings.
More than 10 years of IntelliJ platform development gives this Python software 50+ IDE plugins of different nature, including support for additional VCS, integrations with different tools and frameworks, and editor enhancements such as Vim emulation.
Python software works on Windows, Mac OS or Linux. You can install and run this Python software on as many machines as you have, and use the same environment and functionality across all your machines.
Compatible with various languages
Easy project setup procedures
Creating a project only requires you to fill in a few fields, amongst which is needless to say you find name and location to save. In addition, you need to specify the project type which can be of nearly all commonly used programming languages. This comes in handy because if you were using something else you can now migrate with no trouble at all.
What’s more, before actually starting to write your own bits of code, an interpreter needs to be set. Depending on your choice, in our tests we used Python, some of the previously mentioned languages might not be compatible, so you have to choose carefully.
Well-organized interface to work with
Once everything is set, the interface greets you with features cleverly spread throughout the workspace. A side panel provides quick access to all available libraries, from which you can easily drag desired files over the space where writing is done.
In addition, you can provide a link in an attempt to view the source code without having to open up a web browser. This comes in handy both for learning purposes or analyzing content and checking for issues.
Quickly identify issues in your code
The application comes equipped with a breathtaking amount of options you can configure, from visual elements to in-depth project-related settings. Whenever you decide to take your creation for a spin, simply pressing the “Run” button brings up an event log that informs you what happens every step of the way.
- Jupyter Notebook Integration has been improved. Some of the most highly requested Jupyter Notebook features have been implemented in this version. Now you will be able to run all cells with a single button click, select and configure your Jupyter server using a specific project and port to listen to, keep track of variables while debugging them by getting their current state, restart the kernel and publish notebooks from Python software to JetBrains Datalore.
- Syntax highlight support for many other languages has been added. Python software would now highlight the syntax of Windows .bat files, C#, C++, Groovy, Lua, Makefiles, and more.
- Python software is adding support for some major Python 3.8 features. Try out positional-only parameters, variable assignment within expressions, ‘Final’ qualifier to restrict usage of methods, classes, and variables, and new ways to use f-strings to present values and variables.
- cURL format is now supported for HTTP requests. Just copy your cURL formatted request and paste it directly into your HTTP Request file for it to be converted into its format, and then feel free to modify request params, headers, or body.
Pros and Cons
|More features than similar IDE platforms||Uses a lot of memory|
|Advanced auto-completion engine||No inline plot support|
|Refactoring support||Cannot edit other languages|
|Integrates with multiple platforms|
|Internal Memory||8 GB RAM is recommended for this software|
|Hard disk space||1.5 GB hard disk space + at least 1 GB for caches|
|Screen Resolution||1024 x 768 minimum screen resolution|
|Framework||Python 2: versions 2.6 and 2.7 or Python 3: from version 3.4 up to the version 3.7|
|Operating System||Windows XP, Vista, Windows 7, Windows 8, Windows 10|
|Title||PyCharm 2019.2 For Windows|
|File Size||339 MB|
|Requirements||Windows XP, Vista, Windows 7, Windows 8, Windows 10|
|Available Languages||English, Italian, French, Spanish, Polish, Chinese, German, Japanese|
|Date added||Wednesday, July 24th,2019|
|Author||JetBrains inc. https://www.jetbrains.com/|