JupyterLab Desktop Latest Upgrade Makes Workflows Faster & Streamlined
The upgrade includes sessions and projects representing local launches and connections to JupyterLab servers.
The upgrade includes sessions and projects representing local launches and connections to JupyterLab servers.
Jupyter Notebook is more than just a fancy REPL with good UX
You can do a lot in a notebook–from preprocessing data to EDA to tuning machine learning models–which is great! But, in notebooks, there’s a lot
In March this year, Aqua Security’s Team Nautilus discovered a Python-based ransomware that was using Jupyter Notebooks to access and target other environments.
As outlined by Damien Benveniste, a machine learning tech lead at Meta, in a detailed LinkedIn post, Jupyter fails to provide a ‘robust framework for reproducibility and maintainable codebase for ML systems’.
A comparison of the JupyterLab Desktop App with the DataSpell IDE’s core features.
The app runs the front-end of JupyterLab inside an embedded browser.
Last year, PyXLL released its PyXLL-Jupyter plugin. The new extension combines the ease of use of Excel with the interactivity of Jupyter.
A product of IPython, Jupyter Notebook has been widely popular among data scientists and is a default environment for research. Jupyter Notebook is an “Open-source
Microsoft has released Power BI in Jupyter notebooks. “You can now tell compelling data stories with Power BI in Jupyter notebooks,” according to the company.
Integrated Development Environments (IDEs) have emerged as one of the fundamental tools in the software development process. IDEs give developers flexibility by integrating various platforms
Recently, one of the contributors within the Jupyter ecosystem has announced the release of JupyterLab 3.0. The third major release comes with significant announcements, including
In this article, we will explore the different features of pivot table js and analyse the data in our dataset.
In this article, we will explore how easily and effortlessly we can use Voila to create reports and dashboards.
Widgets are the part of a GUI that allows the user to interface with the application. Widgets can make our jupyter notebook look lively and
Jupyter Notebook extensions have become popular among data scientists as it extends the functionality of the notebook to simplify various tasks right from code completion
Jupyter themes are a great way to beautify your notebook and get a dark mode, which is popular among programmers. Jupyter Notebook, unlike other editors/IDEs
Since we have recently shared an article on tricks and hacks of Google Colab, it is only fair that similar information is explored around Jupyter
One of the most efficient tools for a data scientist, Jupyter plays a potential role in the scientific community when it comes to working on
Born out of IPython in 2014, Jupyter Notebook has seen an enthusiastic adoption among the data science community, to an extent where it has become
Not all data science enthusiasts are lucky enough to have a machine that has the power to handle all kinds of data. Thanks to cloud
Jupyter Notebook is a web application where you can text, code, create and share your live documents, etc. and because of the mixed variety of
We usually start to understand the importance of the perfect tool for coding when we dive into data analysis. Notebooks are collaborative web-based platforms that
The progress of the Python programming language has been immensely significant in the last ten years. According to IEEE Spectrum 2017 magazine, it is ranked
Jupyter Notebook, popularly known as Jupyter among data science aficionados, is an open-source interactive coding application which allows the user/programmer a plethora of options such
All the courses can be completed in less than eight hours.
DeepLearning.AI, Udemy, and Coursera are among the most-popular course providers for vector database.
Marlabs is currently hiring for 10 data science roles, including ML Architect, ML Engineer, and Statistical Modeling positions.
Meta has been synonymous with open source ecosystems. Recently, its research arm, FAIR, completed 10 years of its contribution in the field of artificial intelligence
NVIDIA’s RAPIDS AI enhances Python data processing with ‘cuDF Pandas Accelerator Mode’, making it faster by 150x without external changes!
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