core
Pandas
core | Pandas | |
---|---|---|
103 | 395 | |
377 | 41,983 | |
-0.3% | 0.6% | |
9.2 | 10.0 | |
2 days ago | 5 days ago | |
JavaScript | Python | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
core
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Rare & Powerful Crypto Technologies Setting up to Outperform the Market
Website: terra.money
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A Brief History Of Stablecoins
TerraUSD (UST) was launched in 2020. Like NuBits and other seigniorage algorithmic stablecoins, UST sought to peg one token by moving volatility to a separate token, in this case LUNA, which was also the native token of the Terra blockchain. Users could swap 1 UST for $1 of LUNA and vice versa. When the price of UST rose above $1, holders could profit by swapping $1 of LUNA for 1 UST (which would be worth more than $1), increasing supply and pushing down the price of UST. When UST was below $1, users could profit by swapping 1 UST for $1 of LUNA, reducing the supply of UST. This worked relatively well until a series of events led to confidence in the system collapsing, meaning there was no longer adequate demand for LUNA to stabilize UST. Its failure in May 2022 wiped out tens of billions of dollars of value from the Terra ecosystem, catalyzed the wider crypto bear market, and brought down several large organizations with exposure to it, including crypto hedge fund 3AC and lending company Celsius in the process.
- There is framework for everything.
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Terraform Labs is creating infrastructure to build DAOs on Terra 2.0
Terra's Official Twitter account post, a newly created account, and a bio that reads "Building a new standard for DAO on Terra"
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Deconstructing DeFi
A final example of a token is a "stablecoin". A stablecoin is a token which is kept by the issuer at a fixed price in terms of a government currency, generally the US dollar. Tether maintains a popular stablecoin known as USDT by keeping reserves matching the supply of the token. Other approaches include that used by MakerDao for its stablecoin Dai, where reserves are decentralized and take the form of tokens or Ethereum. These decentralized stablecoins are referred to as "algorithmic stablecoins". A more unfortunate example is Terra, who's algorithmic stablecoin collapsed to the tune of 60 billion dollars.
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Overview of all IBC Chains - Curious Cosmonaut Research Group
Terra
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Geesh they got me questioning everything!
https://www.terra.money/ (this looks exactly like the above)
- Terra: Core development history older than 6 days was deleted
- Terra Core development history was deleted 6 days ago. Why? (The code is still there but the history was deleted)
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Welcome to clown world. This vote is just a big farse. Go to check Twitter
It’s also on their website https://www.terra.money/
Pandas
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AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience.
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Pandas reset_index(): How To Reset Indexes in Pandas
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.
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Deploying a Serverless Dash App with AWS SAM and Lambda
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. Instead, we'll focus on what's necessary to make it run serverless.
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Help Us Build Our Roadmap – Pydantic
there is pull request to integrate in both pydantic extra types and into pandas cose [1]
[1]: https://github.com/pandas-dev/pandas/issues/53999
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Stuff I Learned during Hanukkah of Data 2023
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.
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Introducing Flama for Robust Machine Learning APIs
pandas: A library for data analysis in Python
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
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.
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Mastering Pandas read_csv() with Examples - A Tutorial by Codes With Pankaj
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.
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What Would Go in Your Dream Documentation Solution?
So, what I'd like to do is write a documentation package in Python to recreate what I've lost. I plan to build upon the fantastic python-docx and docxtpl packages, and I'll probably rely on pandas from much of the tabular stuff. Here are the features I intend to include:
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How do people know when to use what programming language?
Weirdly most of my time spent with data analysis was in the C layers in pandas.
What are some alternatives?
astrobwt - ASIC/FPGA/GPU resistant CPU mining algorithm.
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
gomod2nix - Convert applications using Go modules to Nix expressions [maintainer=@adisbladis]
tensorflow - An Open Source Machine Learning Framework for Everyone
station - 🛰️ Station wallet
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
wasmvm - Go bindings to the running cosmwasm contracts with wasmer
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
regen-ledger - :seedling: Blockchain for planetary regeneration
Keras - Deep Learning for humans
solana - Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration