PyCharm
It is one of the most popular python IDE that is used across multiple platforms (such as Mac, Linux, Windows, etc.) and it holds the capability of performing several tasks such as analysis, debugging, testing, etc.
Besides this, it can be tailored as per project requirements and was introduced first by Jet Brains and came into the market for public usage in 2010. Ever since it has evolved over time and its current version is 2022.2.2 which was released in September 2022.
Reason to Pick PyCharm
Below are some of the major highlights to justify the same:
- Easy Navigation: This function is very handy for developers, and those who want to save time and effort can easily navigate projects by just searching for symbols and codes (not file names). Being a developer, all you need is just think of the code and redirect it to the class or function that you want to access.
- Instant Access Files: Toggling from one file to another is like a game while using this environment. All you need to do is type Cmd+E (macOS) or Ctrl+E (Linux/Win) and choose the file where you want to go.
- Remove Clutter: This environment provides accessibility to disable tools that are not required. However, you can access that section in the toolbar section.
Best IDEs For Machine Learning
Over the years, Machine Learning has made a significant impact in the market. As per a recent report, currently, the market is standing at USD 21 Billion (2022) and is expected to cross USD 200 Billion by the end of 2029 at a CAGR of 38% and above. This graph has marked the influential leap during the COVID-19 pandemic and the demand rose by multiple folds (specifically for ML & AI) and the market is not showing any sign of slowing down.
Since the demand for Machine Learning and its professionals is increasing every day, it becomes crucial for you to understand that it’s not as easy as it seems. Being one of the most fascinating technology jobs, the key to getting sustainable growth in this field is to keep yourself updated with the latest tools and techniques to get ahead in this field.
Before we jump into the mainframe, let’s start with the basics of Machine Learning along with its scope in the future: