A struggle toward perfect
Arguably one of the most popular languages in the world, used for developing everything from web apps to artificial intelligence, Python is pivotal to software development globally. The language is widely taught, distributed, and discoursed in the tech community and is critical to some of the most important developments of modern-day computing. The sheer dependence of the industry on Python makes it imperative for the language to perform optimally without fail.
However, our IDEs and editors are subject to limitations owing to hardware, dev environments, and platforms, hindering development. Since Python is one of the most commonly used languages, project sizes tend to be large and complicated, testing the limits of IDEs and code editors. Considering intensive use cases of Python such as with data science, excessive memory usage and overburdened CPUs often lead to the failure of systems during development.
An attempt to keep up
The tools that we use to write code in Python are typically resource-heavy and owing to the structure and use cases of the language, rightly so. These tools, integrated development environments (IDEs) and code editors drain machine resources, bring systems to a halt, and more often than not hinder efficient development. And here are the usual suspects.
PyCharm is developed and maintained by JetBrains, a leader provider of IDEs, and one of the most popular IDEs for writing code in Python. Although the IDE can run on fairly minimal system resources, things get complicated when the number and size of the project start increasing. The IDE is notorious for spiking CPU usage to completely hog the resources, often taking command of all available cores on the system and rendering the machine unusable – the IDE itself included.
A common reason for this is PyCharm’s conflict with other applications on a developer’s system, and content for system resources. This not only prevents other applications from running smoothly on the system but leads to the sluggish performance of the IDE itself.
Jupyter is an open-source solution for writing and sharing code in Python. Started as a spinoff of IPython, a command shell for interactive computing, it was developed with the goal to improve collaboration between developers. However, the platform doesn’t necessarily deliver the best experience to all developers.
A common complaint with a sluggish scroll, coupled with lags in accessing different sections of the platform as well as lags in keystroke inputs significantly hinder development.
And then there is the leading code editor, with support for all major programming languages and stacks, VS Code is arguably one of the most popular development tools in the world. So much so that several organizations and developers directly depend on it to fulfill fundamental software development objectives. Evidently, performance here is non-negotiable.
Unsurprisingly, the code editor is not unfamiliar with performance issues.
Common problems with VS Code’s performance arise from the installation of extensions, increasing the size of projects, and child processes of the editor hogging system resources during development.
A cloud native delight
The idea of Neverinstall was born out of the need to develop a cloud-native platform that could offload resource consumption on local machines and deliver superior performance while improving accessibility. The platform simply delivers pre-installed instances of the developer tools in the form of web apps, installed on a cloud-based Linux desktop.
Try dev tools on Neverinstall.
The tools are launched on remote servers and the instance is streamed to the users’ desktop. While the tools deliver noticeably better performance and faster results, the user would only use as many resources as are required to open a single within the browser. Therefore, while the heavy lifting of these IDEs is handled by the platform, the local machine runs like a breeze.
Suggested read - Familiar in the Cloud: Streaming the native desktop experience to your browser
Neverinstall it again
The pre-configured dev environments on Neverinstall eliminate the need for developers to worry about installing PyCharm, Jupyter, or any IDE on our platform, and setting up their dev tools on local machines. Further, since the IDEs and editors can be accessed through virtually any internet browser, the tools become universally accessible on any device with unparalleled performance.
With Neverinstall, developers can code Python online, on the go, and on any device. Through our pre-installed IDEs which can be accessed through an internet browser, developers can write code in Python on the web. Moreover, developers can share their workspaces to collaborate on their projects in real time.
Additionally, system upgrades and version updates are handled by Neverinstall, helping developers create the largest of projects even on a rudimentary machine setup to deliver unhindered access to Python online.
Experience unparalleled dev tool performances over the cloud with Neverinstall. Sign up today!