AnyDesk is particularly recommended for small to medium-sized businesses, IT professionals, and individuals who need to access their desktops remotely for work or personal use. It is also suitable for customer support teams needing to troubleshoot and resolve technical issues remotely.
Pandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
Based on our record, Pandas should be more popular than AnyDesk. It has been mentiond 219 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.
At work we have a few headless servers and use dummy plugs to trick AnyDesk into rendering the image without a monitor. Not business standard but it gets the job done. Source: over 1 year ago
AnyDesk is a remote desktop application for Windows, Mac, Linux and mobile systems, and you don’t need to create an account to work with it. The app claims to create a secure connection and has developed a proprietary codec that ensures uninterrupted data transfer. As an alternative to TeamViewer, Chrome Remote Desktop and Microsoft Remote Desktop software, anydesk provides the possibility of creating two-way... Source: almost 2 years ago
AnyDesk works very well. It's a remote desktop software available for Windows, macOS, and Linux. Free for home use. I personally used it on all three OSs (specific flavors of Linux were Mint and Pop!_OS, both Ubuntu derivatives, so it should work on Ubuntu itself). Source: almost 2 years ago
I'd think so. There are services out there that do that kind of thing for you. Anydesk is one. Source: about 2 years ago
Instead of RDP, you can use alternate remote access tools. You may be able to use AnyDesk; not sure if the free version can be installed on a server, but this would allow your partner to connect directly to the console instance. Source: about 2 years ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / about 1 month ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / about 2 months ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / about 2 months ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 9 months ago
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