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Profile Name
Star Rating
191
51
2
0
1
Shantanu R.
SR
Shantanu R.
HackerEarth Campus Ambassador (HECA) '22 | GDSC Core Team Member '22 | 4⭐ in Python @Hackerrank | 4⭐ in C++ @Hackerrank | ML AI enthusiast | Front End Web Developer |Student at Chandigarh Engineering College
12/27/2024
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Best tool for Python coding in parts/modules

It has the most easy and understanable UI. A beginner would find easy to use all the tools, how to make paths for the files and to make projects. Also the code runs in cells making it easier to debug and to remove any error or issue in the program as soon as it gets detected. It provide the feature to decorate your texts in code like comments or a simple line by changing the size, boldness and font of the text. It supports various languages like Python, R, Ruby, etc which also makes it to have better cross language support in the program. Use of data visualisation modules like Matplotlip and Seaborn is quite efficient on this platform. I use this often to make my python projects and ML projects.
Bharath Raj V.
BV
Bharath Raj V.
Data Scientist
11/20/2024
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Best for Data Science

The User Interface that allows flexibility of Data Analysis
Rabbia K.
RK
Rabbia K.
Data Analyst
10/20/2024
Validated Reviewer
Verified Current User
Review source: Organic Review from User Profile

features

you can write your code in cells to make it more organized and easy to understand code. rather than commenting down you can write the highlited comment which can be the title of the specific cell to understand the code.