Thematic VS Pandas
Compare Thematic VS Pandas and see what are their differences
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Thematic
Artlist
Robinhood
cchound.com
Epidemic Sound
Freetrade
Uppbeat
TunePocket
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Use trending songs in your YouTube videos and social media in exchange for promotion. Instantly match your video to the perfect copyright-free music, SFX, and creative assets without the worry of copyright claims ✌️
Thematic is a community-driven platform where creators can license royalty free music from their favorite artists in exchange for promotion.
Thematic PandasThematic's answer
Thematic’s founding team has spent the last 10 years helping to develop and define the YouTube creator ecosystem. During that time, 2 things have remained constant:
In 2015, Michelle Phan had built one of the most successful YouTube channels and was a global icon within the beauty community. It was at this time she found herself in the middle of a copyright infringement lawsuit with Ultra Records over music she thought was properly cleared. She ultimately settled out of court. It was a result of this battle that Michelle identified the need to create a peer-to-peer marketplace where content creators and music artists could support each other through community-based music licensing.
Launched in 2018, Thematic is a collaborative platform that connects emerging and established music artists with digital media content creators across YouTube and other digital platforms.
Thematic’s proprietary algorithm curates music to meet the various needs of content creators, while at the same time matching music artists to creators with like-minded audiences.
With Thematic, content creators have a lifetime right to use the music without the worry of copyright infringement. Artists are provided an opportunity to have their music featured in online videos by prominent content creators, ultimately expanding their reach and audience.
Based on our record, Pandas seems to be a lot more popular than Thematic. While we know about 197 links to Pandas, we've tracked only 7 mentions of Thematic. 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.
Http://hellothematic.com/ this is the site mentioned in the email. Source: over 1 year ago
Hey! For my channel I get music from https://hellothematic.com/ ! Source: almost 2 years ago
í found out this one today hellothematic.com and seems to have really quality music. I hoppe that is a trust plataform. Source: almost 2 years ago
We can help you out! 👉 hellothematic.com. Source: almost 2 years ago
We can help you out 👉 hellothematic.com - free music for YouTube videos. Source: almost 2 years ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 1 day ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / about 2 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 4 months ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential. - Source: dev.to / 5 months ago
Artlist - Music licensing for Film and video production
NumPy - NumPy is the fundamental package for scientific computing with Python
Robinhood - Free stock trading service.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
cchound.com - A curated library of free music for content creators
OpenCV - OpenCV is the world's biggest computer vision library