Based on our record, Pandas seems to be a lot more popular than codebeat. While we know about 219 links to Pandas, we've tracked only 2 mentions of codebeat. 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.
CodeBeat — Automated Code Review Platform available for many languages. Free forever for public repositories with Slack & E-mail integration. - Source: dev.to / almost 4 years ago
CodeBeat is a popular code review tool that provides automated code review and feedback. It displays a code grade on a ‘4.0 scale’ system where the code gets reviewed on a scale of 1 to 4. CodeBeat supports various languages like Python, Ruby, Java, Javascript, Golang, Swift, and more. - Source: dev.to / about 4 years ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 24 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 1 month 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 1 month 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
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
NumPy - NumPy is the fundamental package for scientific computing with Python
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Refactor.io - Share your code instantly for refactoring and code review
OpenCV - OpenCV is the world's biggest computer vision library