Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Open Collective
GitHub Sponsors
Liberapay
Patreon
Ko-fi
Buy Me A Coffee
Flattr
Google Open Source
Pandas Open CollectivePandas might be a bit more popular than Open Collective. We know about 219 links to it since March 2021 and only 159 links to Open Collective. 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 / 21 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 / 3 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
Chad has been leading the Open Source Pledge, a simple framework to get companies to fund the projects they rely on. The idea is straightforward: for every developer your company employs, allocate $2,000 per year to open source. Distribute those funds however you want—GitHub Sponsors, Open Collective, Thanks.dev, direct payments, etc. The only other ask is to publish a blog post showing what you did. - Source: dev.to / 10 days ago
We see some projects that can financially survive (via sponsor or external infrastructure such as open collective or patreon), favoring the long-term sustainability. Thus, we keep our stand on promoting a transparent governance model to state where the investment will be managed and who can benefit from it, especially when knowing that non-technical users have an increasing key role in these communities. - Source: dev.to / 10 days ago
Leverage multiple platforms: Utilize GitHub Sponsors along with OpenCollective to broaden funding sources. - Source: dev.to / 10 days ago
Traditionally, open source projects were sustained by volunteer contributions and modest donations. However, as digital infrastructure came to rely on open source software, the need for reliable, scalable funding became evident. Enter corporate sponsorship—a model where companies invest in open source initiatives to secure their technology stacks, attract top talent, and foster innovation. This has spurred the... - Source: dev.to / 12 days ago
Abstract: This post explores various open source project funding strategies and examines their evolution, core concepts, applications, challenges, and future trends. We discuss methods such as sponsorship and donations, crowdfunding, dual licensing, paid services, foundations and grants, and the freemium model. Through real-world examples and a technical yet accessible approach, this guide offers insight into... - Source: dev.to / 12 days ago
NumPy - NumPy is the fundamental package for scientific computing with Python
GitHub Sponsors - Get paid to build what you love on GitHub
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Liberapay - Liberapay is a recurrent donations platform.
OpenCV - OpenCV is the world's biggest computer vision library
Patreon - Patreon enables fans to give ongoing support to their favorite creators.