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 of upfront work that you, as data scientists, must do every time before and as you start analyzing data and building models. Then, you have to scroll through dozens of […]
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.
The main advantage of DataSpell over Jupyter or JupyterLab is the availability of intelligent coding assistance and lots of other features offered by the full-fledged IDE.
What are the benefits of learning Python for data processing?
Prague-based software development company JetBrains has launched a new on-premises version of Datalore, called Datalore Enterprise. The new platform makes it easier for data science and data analysis teams to collaborate around shared instances of Jupyter Notebooks. The 30-day free trial version is available here. Jupyter Notebook has emerged as a really popular tool in […]
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. With the new package, you can embed Power BI reports, dashboards, dashboard tiles, report visuals or Q&A in Jupyter notebooks easily. Additionally, you can export data from visuals in a […]
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 and different processes. According to the Data Science Skills Study 2020 by AIM, of all the IDEs, Jupyter Notebook is the most preferred among data scientists and practitioners. JupyterLab is […]