IntelliJ is extremely simple to utilize, to design GIT you can do it without any problem. You can perform git activities by basic clicks. It gives generally excellent code formating, u can run junit test, gui tests and so forth. The people group release variant itself is so strong.
AR
Ankit R.
Student at Nirma University, Ahmedabad, Gujarat, India
I most like its code assistance and completion feature as a data engineer, PyCharm provides an intelligent code completion feature that helps me to write code faster and with fewer errors. This is especially useful for me when I'm working with large codebases or complex data engineering projects.
I also like its integration with version control systems like Git. This is beneficial for me while I'm working in teams, as it facilitates collaboration and ensures that changes to the codebases are tracked and managed effectively.
It also provides integration with data science libraries and frameworks like NumPy, pandas, and TensorFlow. This makes it easy of use for me to work with multiple tools and libraries seamlessly within the IDE.
I mostly use PyCharm for my data-related operations and changes in the projects as an integrated debugger which allows me to step through my code, inspect variables, identify errors, and fix issues more efficiently. It provides ease of implementation changes in the projects.
It support for jupyter Notebooks and this allows me to develop, run and debug Jupyter Notebooks directly in the IDE.
I also like its customization and extensibility, allowing me to tailor the IDE to my preferences and workflow.
Customer suppprt feature was good and conviniant and if i say about my frequency of use, I use it daily on my working day.
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