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Based on our record, Pandas should be more popular than Google Open Source. 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 / 19 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
Many companies that depend on OSS contribute financially so that the projects remain robust. Examples like Google and Microsoft have shown that corporate sponsorship is not only beneficial for maintainers but also for companies that rely on reliable software. The corporate sponsorship model moves away from traditional ad-based revenue generation, fostering a direct relationship between the sponsor and the... - Source: dev.to / 8 days ago
Similarly, open source projects, which are the backbone of digital infrastructure, have long struggled to achieve sustainable funding. Crowdfunding platforms such as Kickstarter, Opencollective, and corporate sponsorships from technology giants like Google’s open source initiatives and Microsoft’s commitment to open source are now offering viable alternatives. Innovators have begun to integrate Non-Fungible Tokens... - Source: dev.to / 11 days ago
Governments, academic institutions, and major tech companies like Microsoft and Google have recognized the importance of financial support. Funding models have evolved to include corporate sponsorships, grants (e.g., Mozilla's Open Source Support Program), and community-driven donations through platforms like GitHub Sponsors and Open Collective. - Source: dev.to / 11 days ago
Sponsorship Programs: Platforms such as GitHub Sponsors and offerings from tech giants like Google Open Source and Microsoft Open Source provide recurring support while maintaining community values. - Source: dev.to / about 1 month ago
As digital economies matured, the limitations of relying solely on volunteer support became apparent. Numerous OSS projects found that a lack of steady revenue streams led to developer burnout, limited maintenance, and even stagnation. Today, the OSS landscape has evolved to incorporate a blend of funding methods that include individual donations for open source projects, crowdfunding via platforms like GitHub... - Source: dev.to / about 1 month 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.
Open Collective - Recurring funding for groups.
OpenCV - OpenCV is the world's biggest computer vision library
LaunchKit - Open Source - A popular suite of developer tools, now 100% open source.