Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Podman
containerd
Flox
Buildah
CRI-O
Crane
devenv
Docker
PandasPandas 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 Podman. 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.
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
Since a few years now, we started to design various cli for internal batch usage, on our Java Stack on top of picocli and quarkus, delivered as images, and run on podman. - Source: dev.to / about 2 months ago
Docker or Podman for container runtime. - Source: dev.to / about 2 months ago
If you are unfamiliar with the concept of containers and docker images, I suggest you have a look at docker. It will be leveraged here to start the Spark server for the tests; it's important to mention there are other opensource alternatives like podman or nerdctl to allow containerization. - Source: dev.to / 3 months ago
Podman[1] is the answer. [1] https://podman.io. - Source: Hacker News / 3 months ago
In this project I’ll show how to send and consume a message using Brighter with RabbitMQ, you will need a podman (to run RabbitMQ) and .NET 8 or 9. - Source: dev.to / 4 months ago
NumPy - NumPy is the fundamental package for scientific computing with Python
containerd - An industry-standard container runtime with an emphasis on simplicity, robustness and portability
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Flox - Manage and share development environments with all the frameworks and libraries you need, then publish artifacts anywhere. Harness the power of Nix.
OpenCV - OpenCV is the world's biggest computer vision library
Buildah - Buildah is a web-based OCI container tool that allows you to manage the wide range of images in your OCI container and helps you to build the image container from the scratch.