Jupyter Open Source
254 reviews
- 1 profiles
- 2 categories
Average star rating
4.6
Serving customers since
2014
Jupyter Open Source Reviews
LS
Lokesh S.
Results-Driven Data Scientist | Machine Learning | Predictive Analytics | Python | SQL | Power BI | NLP | AI Solutions for Business GrowthPerfect for Prototyping and EDA, but a Headache for Version Control
Rapid prototyping, exploratory data analysis (EDA), and creation of fast machine learning models to check basic business assumptions before investing the time and resources needed to develop a full data pipeline.To summarise the above, Jupyter Notebook is nothing but my canvas to explore data sets and rapid prototype. It's awesome that it's cell-based and there's immediate feedback loop. It's really very useful to be able to write out a block of code, then run it, and immediately see the black and yellow graphic below that shows an intricate plot. It helps me keep a flow state in my mind while in the midst of cleaning up messy dataset or tuning hyperparameters for a machine learning model. Other types of support include markdown — because it allows me to write our thought process, assumptions, and initial findings along with the live code, and that's a lot more user-friendly when passing prototypes along to our data engineering team.
FA
Furkan A.
Data Scientist & AI/ML Engineer | Specialized Interest in Generative AI, Computer Vision, and Predictive ModelingEverything I Need for Data Science in One Place
The thing I like most about Jupyter Notebook is that it is very beginner-friendly and has a simple, easy-to-understand interface. As someone who is learning data science, I found it easy to get started without needing a lot of technical knowledge. The layout is clean and organized, which makes it comfortable to work with even for beginners. One of the biggest advantages is that I can perform multiple tasks in one place. I can write and run Python code, clean and analyze data, create visualizations, and document my work all within the same notebook. This eliminates the need to switch between different applications and tools, making my workflow much smoother and more efficient. I also like that I can see the output of my code immediately, which helps me learn faster and understand concepts more clearly. Whether I am experimenting with new ideas, practicing coding skills, working on assignments, or building data science projects, Jupyter Notebook makes the process easier and more organized. As a data science student, it has become one of my most useful tools because it helps me focus on learning, exploring data, and improving my skills rather than spending time managing multiple software programs. Overall, Jupyter Notebook provides a simple and effective environment for learning, experimenting, and developing data science projects.
AB
Asma B.
Customer-Facing Project Manager | Telecom Operations | Energy Optimization | IIT Delhi Intern |NIT Srinagar '24Seamlessly Combines Live Code, Narrative, and Interactive Visualizations
What stands out most about Jupyter Notebook is how seamlessly it brings together live code, narrative text, and interactive visualizations in a single, shareable document.
About
What is Jupyter Open Source?
Project Jupyter is a set of open-source software tools for interactive and exploratory computing. Developed by a community of worldwide contributors, these tools support reproducible and collaborative scientific computing and data science across a wide range of programming languages (Python, Julia, R, etc.). The Jupyter Notebook, a web-based, interactive computing platform that allows users to perform data cleaning, data analysis, statistical modeling, numerical simulation, and data visualization, has over two million worldwide users across every imaginable technical field. To learn more visit www.jupyter.org.
Details
Year Founded
2014
Website
jupyter.org