--- title: "Jupyter Notebooks - CoderPad Interview Docs" description: "Learn how to use Jupyter Notebook in your CoderPad interviews." canonical: "https://coderpad.io/resources/docs/interview/pads/jupyter-notebooks/" last_modified: "2024-08-28 13:50:53" --- 1. [Docs home](https://coderpad.io/resources/docs/) / 2. [Interview](https://coderpad.io/resources/docs/interview/) / 3. [Pads](https://coderpad.io/resources/docs/interview/pads/) / 4. [Jupyter Notebooks](https://coderpad.io/resources/docs/interview/pads/jupyter-notebooks/) [Documentation menu](#docs-navigation) # Jupyter Notebooks Last updated on August 28, 2024 The Jupyter Notebook integration for CoderPad allows you to utilize one of seven versions of this popular data science platform. Each notebook will pre-load with different libraries, you can find more information on the specific libraries in [Jupyter’s documentation](https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html). To work with Jupyter Notebooks in CoderPad, you can either open a pad, and select one of the notebook versions from the drop down… [![The language menu is shown in a pad and the notebooks section is highlighted.](https://coderpad.io/wp-content/uploads/2023/08/image-67-1024x437.png)](https://coderpad.io/wp-content/uploads/2023/08/image-67.png) Or you can create a Jupyter-based question by selecting a version from the question wizard and editing the content as needed. [![The question wizard with the language drop down open, and the notebooks section highlighted.](https://coderpad.io/wp-content/uploads/2023/08/image-68-1024x557.png)](https://coderpad.io/wp-content/uploads/2023/08/image-68.png) When you or your candidate open your Jupyter Notebook pad, you’ll be presented with a pad-embedded version that works just like it would out-of-the-box — you’ll have all the same functionality and features as the versions you’ve used outside of CoderPad Interview. [](https://coderpad.io/wp-content/uploads/2023/07/image-13.png) However, you’ll have the added benefit of CoderPad features — for example the ability to collaborate with a candidate over video, take your own private notes the candidate can’t see, and make use of Drawing mode. > ![✅](https://coderpad.io/assets/emoji/2705.svg) Playback is not yet available with Jupyter, but the notebook will still be available for review. - [Notebook versions](#notebook-versions) - [Minimal notebook](#minimal-notebook) - [SciPy notebook](#sci-py-notebook) - [R notebook](#r-notebook) - [TensorFlow notebook](#tensor-flow-notebook) - [PyTorch](#py-torch) - [Transformers](#transformers) - [PySpark](#py-spark) - [Container Limits](#container-limits) ## Notebook versions ### Minimal notebook This Pad is running a Jupyter instance, built off of the`jupyter/minimal-notebook`Docker image provided by [Jupyter Docker Stacks](https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html#jupyter-minimal-notebook). Not much is provided out of the box with this image, but you can customize it to your needs by installing the packages you require. ### SciPy notebook This Pad is running a Jupyter instance, built off of the`jupyter/scipy-notebook`Docker image provided by [Jupyter Docker Stacks](https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html#jupyter-scipy-notebook). This image includes popular packages from the scientific Python ecosystem: - [altair](https://altair-viz.github.io/), [beautifulsoup4](https://www.crummy.com/software/BeautifulSoup/), [bokeh](https://docs.bokeh.org/en/latest/), [bottleneck](https://bottleneck.readthedocs.io/en/latest/), [cloudpickle](https://github.com/cloudpipe/cloudpickle), [conda-forge::blas=*=openblas](https://www.openblas.net/), [cython](https://cython.org/), [dask](https://www.dask.org/), [dill](https://pypi.org/project/dill/), [h5py](https://www.h5py.org/), [jupyterlab-git](https://github.com/jupyterlab/jupyterlab-git), [matplotlib-base](https://matplotlib.org/), [numba](https://numba.pydata.org/), [numexpr](https://github.com/pydata/numexpr), [openpyxl](https://openpyxl.readthedocs.io/en/stable/), [pandas](https://pandas.pydata.org/), [patsy](https://patsy.readthedocs.io/en/latest/), [protobuf](https://protobuf.dev/getting-started/pythontutorial/), [pytables](https://www.pytables.org/), [scikit-image](https://scikit-image.org/), [scikit-learn](https://scikit-learn.org/stable/), [scipy](https://scipy.org/), [seaborn](https://seaborn.pydata.org/), [sqlalchemy](https://www.sqlalchemy.org/), [statsmodel](https://www.statsmodels.org/stable/index.html), [sympy](https://www.sympy.org/en/index.html), [widgetsnbextension](https://ipywidgets.readthedocs.io/en/latest/user_install.html#installing-in-classic-jupyter-notebook), [xlrd](https://www.python-excel.org/) packages. - [ipympl](https://github.com/matplotlib/ipympl) and [ipywidgets](https://ipywidgets.readthedocs.io/en/stable/) for interactive visualizations and plots in Python notebooks. - [Facets](https://github.com/PAIR-code/facets) for visualizing machine learning datasets. ### R notebook This Pad is running a Jupyter instance, built off of the`jupyter/r-notebook`Docker image provided by [Jupyter Docker Stacks](https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html#jupyter-r-notebook). This image includes popular packages from the R ecosystem: - The [R](https://www.r-project.org/) interpreter and base environment. - [IRKernel](https://irkernel.github.io/) to support R code in Jupyter notebooks. - [tidyverse](https://www.tidyverse.org/) packages from [conda-forge](https://conda-forge.org/feedstock-outputs/index.html). - [caret](https://topepo.github.io/caret/index.html), [crayon](https://cran.r-project.org/web/packages/crayon/index.html), [devtools](https://cran.r-project.org/web/packages/devtools/index.html), [forecast](https://cran.r-project.org/web/packages/forecast/index.html), [hexbin](https://cran.r-project.org/web/packages/hexbin/index.html), [htmltools](https://cran.r-project.org/web/packages/htmltools/index.html), [htmlwidgets](https://www.htmlwidgets.org/), [nycflights13](https://cran.r-project.org/web/packages/nycflights13/index.html), [randomforest](https://cran.r-project.org/web/packages/randomForest/index.html), [rcurl](https://cran.r-project.org/web/packages/RCurl/index.html), [rmarkdown](https://rmarkdown.rstudio.com/), [rodbc](https://cran.r-project.org/web/packages/RODBC/index.html), [rsqlite](https://cran.r-project.org/web/packages/RSQLite/index.html), [shiny](https://shiny.posit.co/), [tidymodels](https://www.tidymodels.org/), [unixodbc](https://www.unixodbc.org/) packages from [conda-forge](https://conda-forge.org/feedstock-outputs/index.html). ### TensorFlow notebook This Pad is running a Jupyter instance, built off of the`jupyter/tensorflow-notebook`Docker image provided by [Jupyter Docker Stacks](https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html#jupyter-tensorflow-notebook). This image includes popular packages from the scientific Python ecosystem, as well as the [tensorflow](https://www.tensorflow.org/) machine learning library: - [altair](https://altair-viz.github.io/), [beautifulsoup4](https://www.crummy.com/software/BeautifulSoup/), [bokeh](https://docs.bokeh.org/en/latest/), [bottleneck](https://bottleneck.readthedocs.io/en/latest/), [cloudpickle](https://github.com/cloudpipe/cloudpickle), [conda-forge::blas=*=openblas](https://www.openblas.net/), [cython](https://cython.org/), [dask](https://www.dask.org/), [dill](https://pypi.org/project/dill/), [h5py](https://www.h5py.org/), [jupyterlab-git](https://github.com/jupyterlab/jupyterlab-git), [matplotlib-base](https://matplotlib.org/), [numba](https://numba.pydata.org/), [numexpr](https://github.com/pydata/numexpr), [openpyxl](https://openpyxl.readthedocs.io/en/stable/), [pandas](https://pandas.pydata.org/), [patsy](https://patsy.readthedocs.io/en/latest/), [protobuf](https://protobuf.dev/getting-started/pythontutorial/), [pytables](https://www.pytables.org/), [scikit-image](https://scikit-image.org/), [scikit-learn](https://scikit-learn.org/stable/), [scipy](https://scipy.org/), [seaborn](https://seaborn.pydata.org/), [sqlalchemy](https://www.sqlalchemy.org/), [statsmodel](https://www.statsmodels.org/stable/index.html), [sympy](https://www.sympy.org/en/index.html), [widgetsnbextension](https://ipywidgets.readthedocs.io/en/latest/user_install.html#installing-in-classic-jupyter-notebook), [xlrd](https://www.python-excel.org/) packages. - [ipympl](https://github.com/matplotlib/ipympl) and [ipywidgets](https://ipywidgets.readthedocs.io/en/stable/) for interactive visualizations and plots in Python notebooks. - [Facets](https://github.com/PAIR-code/facets) for visualizing machine learning datasets. - [tensorflow](https://www.tensorflow.org/) for creating machine learning models. ### PyTorch This pad is running a Jupyter instance, built off of the`jupyter/pytorch-notebook`Docker image provided by [Jupyter Docker Stacks](https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html#jupyter-pytorch-notebook). This image includes popular packages from the scientific Python ecosystem, as well as the [pytorch](https://pytorch.org/) machine learning library: - [altair](https://altair-viz.github.io/), [beautifulsoup4](https://www.crummy.com/software/BeautifulSoup/), [bokeh](https://docs.bokeh.org/en/latest/), [bottleneck](https://bottleneck.readthedocs.io/en/latest/), [cloudpickle](https://github.com/cloudpipe/cloudpickle), [conda-forge::blas=*=openblas](https://www.openblas.net/), [cython](https://cython.org/), [dask](https://www.dask.org/), [dill](https://pypi.org/project/dill/), [h5py](https://www.h5py.org/), [jupyterlab-git](https://github.com/jupyterlab/jupyterlab-git), [matplotlib-base](https://matplotlib.org/), [numba](https://numba.pydata.org/), [numexpr](https://github.com/pydata/numexpr), [openpyxl](https://openpyxl.readthedocs.io/en/stable/), [pandas](https://pandas.pydata.org/), [patsy](https://patsy.readthedocs.io/en/latest/), [protobuf](https://protobuf.dev/getting-started/pythontutorial/), [pytables](https://www.pytables.org/), [scikit-image](https://scikit-image.org/), [scikit-learn](https://scikit-learn.org/stable/), [scipy](https://scipy.org/), [seaborn](https://seaborn.pydata.org/), [sqlalchemy](https://www.sqlalchemy.org/), [statsmodel](https://www.statsmodels.org/stable/index.html), [sympy](https://www.sympy.org/en/index.html), [widgetsnbextension](https://ipywidgets.readthedocs.io/en/latest/user_install.html#installing-in-classic-jupyter-notebook), [xlrd](https://www.python-excel.org/) packages. - [ipympl](https://github.com/matplotlib/ipympl) and [ipywidgets](https://ipywidgets.readthedocs.io/en/stable/) for interactive visualizations and plots in Python notebooks. - [Facets](https://github.com/PAIR-code/facets) for visualizing machine learning datasets. - [pytorch](https://pytorch.org/) for creating machine learning models. ### Transformers This pad is running a Jupyter instance, pre-installed with the [Transformers Library](https://huggingface.co/docs/transformers/index) and other popular NLP frameworks and scientific Python packages: - [tensorflow](https://www.tensorflow.org/) - [pytorch](https://pytorch.org/),`torchvision`, and`torchaudio` - [jax](https://jax.readthedocs.io/en/latest/quickstart.html/),`jaxlib`, and`optax` - [altair](https://altair-viz.github.io/), [beautifulsoup4](https://www.crummy.com/software/BeautifulSoup/), [bokeh](https://docs.bokeh.org/en/latest/), [bottleneck](https://bottleneck.readthedocs.io/en/latest/), [cloudpickle](https://github.com/cloudpipe/cloudpickle), [conda-forge::blas=*=openblas](https://www.openblas.net/), [cython](https://cython.org/), [dask](https://www.dask.org/), [dill](https://pypi.org/project/dill/), [h5py](https://www.h5py.org/), [jupyterlab-git](https://github.com/jupyterlab/jupyterlab-git), [matplotlib-base](https://matplotlib.org/), [numba](https://numba.pydata.org/), [numexpr](https://github.com/pydata/numexpr), [openpyxl](https://openpyxl.readthedocs.io/en/stable/), [pandas](https://pandas.pydata.org/), [patsy](https://patsy.readthedocs.io/en/latest/), [protobuf](https://protobuf.dev/getting-started/pythontutorial/), [pytables](https://www.pytables.org/), [scikit-image](https://scikit-image.org/), [scikit-learn](https://scikit-learn.org/stable/), [scipy](https://scipy.org/), [seaborn](https://seaborn.pydata.org/), [sqlalchemy](https://www.sqlalchemy.org/), [statsmodel](https://www.statsmodels.org/stable/index.html), [sympy](https://www.sympy.org/en/index.html), [widgetsnbextension](https://ipywidgets.readthedocs.io/en/latest/user_install.html#installing-in-classic-jupyter-notebook), [xlrd](https://www.python-excel.org/) packages. - [ipympl](https://github.com/matplotlib/ipympl) and [ipywidgets](https://ipywidgets.readthedocs.io/en/stable/) for interactive visualizations and plots in Python notebooks. - [Facets](https://github.com/PAIR-code/facets) for visualizing machine learning datasets. ### PySpark This Pad is running a Jupyter instance, built off of the`jupyter/pyspark-notebook`Docker image provided by [Jupyter Docker Stacks](https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html#jupyter-pyspark-notebook). This image includes popular packages from the scientific Python and Apache Spark ecosystems: - [Apache Spark](https://spark.apache.org/) with Hadoop binaries - [grpcio-status](https://github.com/grpc/grpc/tree/master/src/python/grpcio_status) - [grpcio](https://grpc.io/docs/languages/python/quickstart/) - [pyarrow](https://arrow.apache.org/docs/python/) - [altair](https://altair-viz.github.io/), [beautifulsoup4](https://www.crummy.com/software/BeautifulSoup/), [bokeh](https://docs.bokeh.org/en/latest/), [bottleneck](https://bottleneck.readthedocs.io/en/latest/), [cloudpickle](https://github.com/cloudpipe/cloudpickle), [conda-forge::blas=*=openblas](https://www.openblas.net/), [cython](https://cython.org/), [dask](https://www.dask.org/), [dill](https://pypi.org/project/dill/), [h5py](https://www.h5py.org/), [jupyterlab-git](https://github.com/jupyterlab/jupyterlab-git), [matplotlib-base](https://matplotlib.org/), [numba](https://numba.pydata.org/), [numexpr](https://github.com/pydata/numexpr), [openpyxl](https://openpyxl.readthedocs.io/en/stable/), [pandas](https://pandas.pydata.org/), [patsy](https://patsy.readthedocs.io/en/latest/), [protobuf](https://protobuf.dev/getting-started/pythontutorial/), [pytables](https://www.pytables.org/), [scikit-image](https://scikit-image.org/), [scikit-learn](https://scikit-learn.org/stable/), [scipy](https://scipy.org/), [seaborn](https://seaborn.pydata.org/), [sqlalchemy](https://www.sqlalchemy.org/), [statsmodel](https://www.statsmodels.org/stable/index.html), [sympy](https://www.sympy.org/en/index.html), [widgetsnbextension](https://ipywidgets.readthedocs.io/en/latest/user_install.html#installing-in-classic-jupyter-notebook), [xlrd](https://www.python-excel.org/) packages - [ipympl](https://github.com/matplotlib/ipympl) and [ipywidgets](https://ipywidgets.readthedocs.io/en/stable/) for interactive visualizations and plots in Python notebooks - [Facets](https://github.com/PAIR-code/facets) for visualizing machine learning datasets Spark UI In order to access the Spark Web UI for an active Spark session you can use the “Spark UI” button from the Launcher. > ![✅](https://coderpad.io/assets/emoji/2705.svg) The UI is only available during an active Spark session and takes a few seconds to start up after the start of a job execution. If you would like access to the UI after your job has finished, we recommend putting blocking code at the end of your code block like`input()`like so: ``` from pyspark.sql import SparkSession spark = SparkSession.builder \ .appName("Simple PySpark Example") \ .getOrCreate() data = [("Alice", 34), ("Bob", 45), ("Catherine", 29)] columns = ["Name", "Age"] df = spark.createDataFrame(data, schema=columns) df_with_age_plus_ten = df.withColumn("AgePlusTen", df["Age"] + 10) df_with_age_plus_ten.show() input() # block execution so that you can access the Spark UI spark.stop()Code language: Python (python) ``` ## Real Time Collaboration We’ve included the`jupyter-collaboration`extension, which allows for multiple users to edit and interact with a notebook at the same time. Note: currently, all users are anonymously named in Jupyter, but we hope to fix this soon! ## Container Limits The container running your application has a few limitations. Currently, we don’t limit your CPU usage, though this may change in future. In addition to CPU, we monitor the network bandwidth that is consumed, and limit you to 75mb for the duration of the container. Finally, we limit the amount of memory accessible to each container to 0.5 GB. Are there any libraries or settings we missed? Feel free to [email us](mailto:support@coderpad.io?subject=CoderPad%20Language%20Suggestion) with suggestions! 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[Interviewers](https://coderpad.io/resources/docs/interview/quick-start-guides/interviewers/) Toggle children pages - [Live Interview quick start](https://coderpad.io/resources/docs/interview/quick-start-guides/interviewers/live-interview-pads/) - [Take-home project quick start](https://coderpad.io/resources/docs/interview/quick-start-guides/interviewers/take-home-projects/) - [Interview best practices](https://coderpad.io/resources/docs/interview/quick-start-guides/interviewers/interview-best-practices/) - [Recruiters](https://coderpad.io/resources/docs/interview/quick-start-guides/recruiters/) - [Account administrators](https://coderpad.io/resources/docs/interview/quick-start-guides/account-admins/) - [Video Guides](https://coderpad.io/resources/docs/interview/quick-start-guides/coderpad-interview-quickstart-video-guides/) - [Engineer’s guide to multi-file frameworks](https://coderpad.io/resources/docs/interview/quick-start-guides/multi-file-frameworks-for-engineers/) - [Talent acquisition’s guide to multi-file frameworks](https://coderpad.io/resources/docs/interview/quick-start-guides/multi-file-frameworks-for-talent-acquisition-teams/) - [Pads](https://coderpad.io/resources/docs/interview/pads/) Toggle children pages - [Creating a pad](https://coderpad.io/resources/docs/interview/pads/creating-a-pad/) - [Using pad features](https://coderpad.io/resources/docs/interview/pads/using-pad-features/) - [Jupyter Notebooks](https://coderpad.io/resources/docs/interview/pads/jupyter-notebooks/) - [API client](https://coderpad.io/resources/docs/interview/pads/api-client/) - [AI Tools for Interview](https://coderpad.io/resources/docs/interview/pads/interview-ai-assist/) - [Code editor](https://coderpad.io/resources/docs/interview/pads/code-editor/) - [Video & audio chat](https://coderpad.io/resources/docs/interview/pads/video-and-audio-call/) Toggle children pages - [AI Notetaker](https://coderpad.io/resources/docs/interview/pads/live-interview-transcription/) - [Interview Highlights NEW](https://coderpad.io/resources/docs/interview-highlights/) - [Interview Outlines NEW](https://coderpad.io/resources/docs/interview/pads/video-and-audio-call/interview-outlines/) - [Private Interviewer Notes](https://coderpad.io/resources/docs/interview/pads/private-interviewer-notes/) - [Settings](https://coderpad.io/resources/docs/interview/pads/settings/) - [Keyboard shortcuts](https://coderpad.io/resources/docs/interview/pads/keyboard-shortcuts/) - [Playback & Pad Summary](https://coderpad.io/resources/docs/interview/pads/playback-mode/) - [Duplicate pads](https://coderpad.io/resources/docs/interview/pads/duplicate-pads/) - [Pad bulk actions](https://coderpad.io/resources/docs/interview/pads/pad-bulk-actions/) - [Drawing mode](https://coderpad.io/resources/docs/interview/drawing-mode/) - [Interview question bank](https://coderpad.io/resources/docs/interview/question-bank/) Toggle children pages - [Creating and editing questions](https://coderpad.io/resources/docs/interview/question-bank/creating-and-editing-a-question/) - [Example questions](https://coderpad.io/resources/docs/interview/question-bank/example-questions/) - [Test cases](https://coderpad.io/resources/docs/interview/question-bank/test-cases/) - [Focus Time](https://coderpad.io/resources/docs/interview/focus-time/) - [Databases](https://coderpad.io/resources/docs/interview/databases/) - [Custom files](https://coderpad.io/resources/docs/interview/custom-files/) - [Integrations](https://coderpad.io/resources/docs/interview/integrations/) Toggle children pages - [Ashby for Interview](https://coderpad.io/resources/docs/interview/integrations/ashby/) - [GoodTime](https://coderpad.io/resources/docs/interview/integrations/goodtime/) - [Google Chrome Calendar extension](https://coderpad.io/resources/docs/interview/integrations/google-chrome-calendar-extension/) - [Greenhouse for Interview](https://coderpad.io/resources/docs/interview/integrations/greenhouse/) Toggle children pages - [Greenhouse live interview integration](https://coderpad.io/resources/docs/interview/integrations/greenhouse/live-interview-integration/) - [Greenhouse take-home projects integration](https://coderpad.io/resources/docs/interview/integrations/greenhouse/take-home-integration/) - [iCIMS](https://coderpad.io/resources/docs/interview/integrations/icims/) - [Lever](https://coderpad.io/resources/docs/interview/integrations/lever/) - [Gem](https://support.gem.com/hc/en-us/articles/26933157317399-How-do-I-connect-my-CoderPad-account) - [SmartRecruiters](https://coderpad.io/resources/docs/interview/integrations/smartrecruiters/) - [ModernLoop](https://modernloop.notion.site/coderpad) - [Workday](https://coderpad.io/resources/docs/screen/integrations/workday/) - [Account management](https://coderpad.io/resources/docs/interview/account-mgmt/) Toggle children pages - [Team management](https://coderpad.io/resources/docs/interview/account-mgmt/team-management/) - [Managing users](https://coderpad.io/resources/docs/interview/account-mgmt/managing-users/) - [SSO](https://coderpad.io/resources/docs/screen/account-management/sso/) - [Insights](https://coderpad.io/resources/docs/interview/account-mgmt/insights/) - [Billing](https://coderpad.io/resources/docs/interview/account-mgmt/billing-history/) - [Canceling your subscription](https://coderpad.io/resources/docs/interview/account-mgmt/unsubscribing/) - [More](https://coderpad.io/resources/docs/interview/more-interview-resources/) Toggle children pages - [Cheating prevention and detection in Interview](https://coderpad.io/resources/docs/cheating-prevention-in-interview/) - [FAQ](https://coderpad.io/faqs/#live-faq) - [Accessibility](https://coderpad.io/resources/docs/accessibility/) - [Supported technologies & languages](https://coderpad.io/resources/docs/interview/more-interview-resources/supported-technologies-languages/) Toggle children pages - [Languages & frameworks](https://coderpad.io/languages/) - [Unit testing](https://coderpad.io/resources/docs/unit-testing/) Toggle children pages - [Using Jest with React](https://coderpad.io/resources/docs/unit-testing/using-jest-with-react/) - [Supported browser versions](https://coderpad.io/resources/docs/screen/more-screen-resources/supported-languages-frameworks-technologies/browser-versions/) - [API key access](https://coderpad.io/resources/docs/interview/more-interview-resources/api-key/) - [API documentation](https://coderpad.io/resources/docs/interview/more-interview-resources/api-documentation/) - [Troubleshooting](https://coderpad.io/resources/docs/interview/more-interview-resources/troubleshooting/) - [Server statuses](https://status.coderpad.io/?_gl=1*ta4d92*_ga*MTkzMTE2ODYyMC4xNjU4MjQ5Mzcw*_ga_XBQ5N5CE2N*MTY2NzQxOTY5OS4yNjIuMS4xNjY3NDIxNDQ0LjAuMC4w&_ga=2.62808234.704669655.1667307151-1931168620.1658249370) - [Data management and privacy policy](https://coderpad.io/privacy/) - [AI Fluency](https://coderpad.io/resources/docs/ai-fluency/) - [For candidates](https://coderpad.io/resources/docs/for-candidates/) Toggle children pages - [Screen preparation guide](https://coderpad.io/resources/docs/for-candidates/screen-preparation-guide/) Toggle children pages - [Webcam and microphone access](https://coderpad.io/resources/docs/for-candidates/screen-preparation-guide/webcam-access/) - [Projects exercises](https://coderpad.io/resources/docs/for-candidates/screen-preparation-guide/projects-exercises/) - [Interview preparation guide](https://coderpad.io/resources/docs/for-candidates/interview-preparation-guide/) Toggle children pages - [Try the sandbox](https://coderpad.io/resources/docs/for-candidates/interview-preparation-guide/sandbox/) - [FAQ](https://coderpad.io/faqs/#faq-do-candidates-have-to-register-an-account-or-pay-to-use-interview) - [What’s new?](https://coderpad.io/resources/docs/changelog/)