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Jupyter VS GeeksforGeeks

Compare Jupyter VS GeeksforGeeks and see what are their differences

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Jupyter logo Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

GeeksforGeeks logo GeeksforGeeks

A computer science portal for geeks
  • Jupyter Landing page
    Landing page //
    2023-06-22
  • GeeksforGeeks Landing page
    Landing page //
    2023-05-07

Jupyter features and specs

  • Interactive Computing
    Jupyter allows real-time interaction with the data and code, providing immediate feedback and making it easier to experiment and iterate.
  • Rich Media Output
    It supports output in various formats including HTML, images, videos, LaTeX, and more, enhancing the ability to visualize and interpret results.
  • Language Agnostic
    Jupyter supports multiple programming languages through its kernel system (e.g., Python, R, Julia), allowing flexibility in the choice of tools.
  • Collaborative Features
    It enables collaboration through shared notebooks, version control, and platform integrations like GitHub.
  • Educational Tool
    Jupyter is widely used for teaching, thanks to its easy-to-use interface and ability to combine narrative text with code, making it ideal for assignments and tutorials.
  • Extensibility
    Jupyter is highly extensible with a large ecosystem of plugins and extensions available for various functionalities.

Possible disadvantages of Jupyter

  • Performance Issues
    For larger datasets and more complex computations, Jupyter can be slower compared to running scripts directly in a dedicated IDE.
  • Version Control Challenges
    Managing version control for Jupyter notebooks can be cumbersome, as they are not plain text files and include metadata that can make diffing and merging complex.
  • Resource Intensive
    Running Jupyter notebooks can be resource-intensive, especially when working with multiple large notebooks simultaneously.
  • Security Concerns
    Because Jupyter allows code execution in the browser, it can be a potential security risk if notebooks from untrusted sources are run without restrictions.
  • Dependency Management
    Managing dependencies and ensuring that the notebook runs consistently across different environments can be challenging.
  • Less Suitable for Production
    Jupyter is often considered more as a research and educational tool rather than a production environment; transitioning from a notebook to production code can require significant refactoring.

GeeksforGeeks features and specs

  • Comprehensive Content
    GeeksforGeeks offers a vast array of articles, tutorials, and problem sets that cover a wide range of programming languages, algorithms, data structures, and computer science concepts, making it a valuable resource for learners at all levels.
  • Community and Contributions
    The platform allows community contributions, enabling users to share knowledge and solutions, which helps keep the content diverse, up-to-date, and enriched with multiple perspectives.
  • Practice and Learning Tools
    GeeksforGeeks provides ample opportunities for hands-on practice through coding challenges, quizzes, and contests, which help users test and strengthen their coding skills effectively.
  • Interview Preparation
    The website is renowned for its curated content aimed at coding interview preparation, offering exercises and questions that simulate real interview scenarios, particularly for tech companies.

Possible disadvantages of GeeksforGeeks

  • Quality Inconsistency
    Given the community-driven nature of content creation, some articles and solutions may vary in quality, lacking clarity or thoroughness, which can lead to confusion for learners seeking detailed explanations.
  • Advertisement and Clutter
    The presence of numerous ads on the site can be distracting and may disrupt the browsing experience, making it harder for users to focus on the content they intended to study.
  • Navigation and Organization
    Due to the extensive amount of information available, users may find it challenging to navigate or identify specific resources quickly, which can be cumbersome for those new to the platform.
  • Overwhelming for Beginners
    The breadth of advanced topics and large repository of information can be overwhelming for beginners who might struggle to figure out where to start or how to approach their learning journey effectively.

Analysis of GeeksforGeeks

Overall verdict

  • Overall, GeeksforGeeks is regarded as a good platform for learning and enhancing technical skills. It provides high-quality, reliable content that is often reviewed and updated by knowledgeable contributors in the field.

Why this product is good

  • GeeksforGeeks is considered a valuable resource for students and professionals interested in programming and computer science. The platform offers a wide range of tutorials, coding problems, and articles that can help individuals understand various concepts in an accessible manner. Additionally, it covers diverse topics across different technical domains and programming languages, which makes it versatile and comprehensive.

Recommended for

  • Students looking to learn programming concepts and algorithms.
  • Software engineers who want to improve their coding skills.
  • Anyone preparing for technical interviews or competitive programming.

Jupyter videos

+ Add

What is Jupyter Notebook?

More videos:

  • Tutorial - Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
  • Review - JupyterLab: The Next Generation Jupyter Web Interface

GeeksforGeeks videos

+ Add

Geeksforgeeks self paced DSA review | CP | Leetcode

More videos:

  • Tutorial - HOW TO BECOME A PROGRAMMER? | STORY OF SANDEEP JAIN | GEEKSFORGEEKS |FLAWLESS FAILURE |
  • Review - Geeksforgeeks | Aamzon SDE Test Series Review | Faang | CP | Leetcode

Category Popularity

0-100% (relative to Jupyter and GeeksforGeeks)

Jupyter

GeeksforGeeks

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Online Learning
0 0%
Online Learning
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Education
0 0%
Education
100% 100

User comments

Share your experience with using Jupyter and GeeksforGeeks. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Jupyter and GeeksforGeeks

Jupyter Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).
Source: lakefs.io
7 best Colab alternatives in 2023
JupyterLab is the next-generation user interface for Project Jupyter. Like Colab, it's an interactive development environment for working with notebooks, code, and data. However, JupyterLab offers more flexibility as it can be self-hosted, enabling users to use their own hardware resources. It also supports extensions for integrating other services, making it a highly...
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Jupyter Notebook is a widely popular tool for data scientists to work on data science projects. This article reviews the top 12 alternatives to Jupyter Notebook that offer additional features and capabilities.
Source: noteable.io
15 data science tools to consider using in 2021
Jupyter Notebook's roots are in the programming language Python -- it originally was part of the IPython interactive toolkit open source project before being split off in 2014. The loose combination of Julia, Python and R gave Jupyter its name; along with supporting those three languages, Jupyter has modular kernels for dozens of others.
Source: searchbusinessanalytics.techtarget.com
Top 4 Python and Data Science IDEs for 2021 and Beyond
Yep — it’s the most popular IDE among data scientists. Jupyter Notebooks made interactivity a thing, and Jupyter Lab took the user experience to the next level. It’s a minimalistic IDE that does the essentials out of the box and provides options and hacks for more advanced use.
Source: towardsdatascience.com

GeeksforGeeks Reviews

LeetCode Alternatives: Top platforms for coding practice
What are LeetCode and LeetCode alternatives good for?LeetCode💡Interested in leveling up your career? Apply to the Formation Fellowship today!ApplyHackerRankCodeSignalAlgoExpertCodewarsGeeksforGeeksEdabitExercismTopCoderShould you use LeetCode for advanced interview prep?Get holistic interview prep with Formation
Source: formation.dev
Top 25 websites for coding challenge and competition [Updated for 2021]
GeeksForGeeks is the website for geeks. It has tons of resources on programming and algorithms. It also has an interview section to help programmers win their dream jobs. There’s also an excellent collection of C and C++ puzzles for programmers to solve.
Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, Jupyter should be more popular than GeeksforGeeks. It has been mentiond 216 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Jupyter mentions (216)

  • The 3 Best Python Frameworks To Build UIs for AI Apps
    Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / 3 months ago
  • LangChain: From Chains to Threads
    LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 4 months ago
  • Applied Artificial Intelligence & its role in an AGI World
    Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 5 months ago
  • Jupyter Notebook for Java
    Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / 9 months ago
  • JIRA Analytics with Pandas
    One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / 12 months ago
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GeeksforGeeks mentions (24)

  • Slicing with RStudio
    So I have a dataset from source("https://www.openintro.org/data/R/exam_grades.R"). First column is the year(format YEAR-# ie 2000-1 for year 2000 semster 1), then gender in the second column, then actual exam scores in the following 3 columns, then course grade in the last column. I want to separate the data based on the year and semester. I went looking and the closest thing that would let me do it was slicing. ... Source: over 2 years ago
  • My experience of cracking coding interviews (2018)
    Geeksforgeeks.org - A famous computer science portal having everything you need for interview preparation. But in my opinion, the code, methods are not too intuitive and simple, their code has some bugs too. For example, consider this problem, http://bit.do/PetrolPump , the solution is not too intuitive. If you see this solution : http://bit.do/LeetcodePetrolPump. It’s very easy. That’s why I recommend leetcode... - Source: dev.to / over 2 years ago
  • Auto Redirect AMP doesn't work, even from FLAGs
    However, how are you getting these links? Because if I go directly to geeksforgeeks.org in Brave Android and then click on any article, it doesn't give me that type of Google URL. Source: over 2 years ago
  • Should I retake CS106A?
    I would say that just googling/searching on YouTube for a specific topic like recursion, backtracking, binary search tree, etc. Is really good for finding videos and websites that further break down the concepts and teach you tips for how to implement them. geeksforgeeks.org is a really good website that I can think of that helps a lot with understanding the topics in 106B, and general computer science topics and... Source: almost 3 years ago
  • A 4 years dropper, wanting to start a future in IT sector. Having some doubts. Help will be appreciated.
    For practicing algorithms, use any of the freely available websites like https://hackerrank.com https://codechef.com https://projecteuler.net A structured set of practice problems are available at https://www.interviewbit.com/courses/programming/ Avoid https://geeksforgeeks.org because it has a ton of material but very poor quality control. Source: almost 3 years ago
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What are some alternatives?

When comparing Jupyter and GeeksforGeeks, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

DevToolLab - Collection of free online developer tools for JSON, XML, CSS, and more

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

JSON Formatter & Validator - The JSON Formatter was created to help with debugging.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

AlgoExpert.io - A better way to prep for tech interviews

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