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  2. Data Version Control (software) - Wikipedia

    en.wikipedia.org/wiki/Data_Version_Control...

    There are several open source projects that provide similar data version control capabilities to DVC, [52] such as: Git LFS, Dolt, Nessie, and lakeFS. These projects vary in their fit to the different needs of data engineers and data scientists such as: scalability, supported file formats, support in tabular data and unstructured data, volume ...

  3. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    List of GitHub repositories for the project: GitHub repositories This data is not pre-processed List of GitHub repositories for the project: Red Hat This data is not pre-processed List of GitHub repositories of the project: Kubernetes Patterns This data is not pre-processed List of GitHub repositories of the project

  4. Codecademy - Wikipedia

    en.wikipedia.org/wiki/Codecademy

    The platform provides a hands-on learning experience, allowing users to write and execute code directly within their web browsers. Codecademy offers courses covering languages such as Python, JavaScript, HTML/CSS, and Ruby, as well as specialized topics like web development, data science, and machine learning.

  5. RStudio - Wikipedia

    en.wikipedia.org/wiki/RStudio

    RStudio IDE (or RStudio) is an integrated development environment for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser.

  6. Project Jupyter - Wikipedia

    en.wikipedia.org/wiki/Project_Jupyter

    Project Jupyter's name is a reference to the three core programming languages supported by Jupyter, which are Julia, Python and R. Its name and logo are an homage to Galileo 's discovery of the moons of Jupiter , as documented in notebooks attributed to Galileo.

  7. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]

  8. freeCodeCamp - Wikipedia

    en.wikipedia.org/wiki/FreeCodeCamp

    freeCodeCamp was launched in October 2014 and incorporated as Free Code Camp, Inc. The founder, Quincy Larson, is a software developer who took up programming after graduate school and created freeCodeCamp as a way to streamline a student's progress from beginner to being job-ready.

  9. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data science process flowchart from Doing Data Science, by Schutt & O'Neil (2013) Analysis refers to dividing a whole into its separate components for individual examination. [ 10 ] Data analysis is a process for obtaining raw data , and subsequently converting it into information useful for decision-making by users. [ 1 ]