Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
KROCK.IO
Frame.io
Ziflow
CreatiBI
Asana
Boords
Milanote
Approval Studio
Pandas KROCK.IOPandas 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 seems to be a lot more popular than KROCK.IO. While we know about 219 links to Pandas, we've tracked only 11 mentions of KROCK.IO. 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.
Libraries for data science and deep learning that are always changing. - Source: dev.to / 29 days 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
We have many other features for creators. I hope to hear your feedback on our tool, krock.io . Source: about 2 years ago
Krock.io - One tool for animation and video production companies to collaborate on creative projects remotely. All teams and clients are in one space. Source: over 2 years ago
Just check on Google, you're not the snippet currently but krock.io is the 4th result. Source: almost 3 years ago
The first search results were software catalogs. So, I added our app as a competitor to Shotgrid in those catalogs. So krock.io was mentioned in all of those pages. Source: almost 3 years ago
Krock.io - Creative Collaboration and Video Review Software It is being built for and by creatives.👩🎤🦄. Source: almost 3 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Frame.io - Video Post Production Collaboration Software
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Ziflow - Online Proofing software from Ziflow keeps teams connected and collaborating by providing a single source of truth for creative review and approval.
OpenCV - OpenCV is the world's biggest computer vision library
CreatiBI - Use content as targeting, and shift your focus from tweaking campaigns to what truly matters - creating outstanding content. Compelling content effortlessly draws in the desired audience, standing out as the most efficient advertising approach.
