Pandas
TypeScript
Pandas | TypeScript | |
---|---|---|
399 | 1,307 | |
42,039 | 98,169 | |
0.7% | 0.7% | |
10.0 | 9.9 | |
5 days ago | 2 days ago | |
Python | TypeScript | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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.
Pandas
- The Birth of Parquet
- PDEP-13: The Pandas Logical Type System
- PHP Doesn't Suck Anymore
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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.
TypeScript
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How and why do we bundle zx?
While we were fighting against the modules, we forgot one small detail - their built-in typings. Esbuild can't do this at all yet. Unbelievable, but the tsc, native TS compiler, also does not provide a typings concat feature. Got around this problem: we've introduced [a utility to combine typings](tsc-dts-fix of zx own code, and applied some monkey patches for external libdefs squashed via dts-bundle-generator.
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JSR Is Not Another Package Manager
Regular expressions are part of the language, so it's not so unreasonable that TypeScript should parse them and take their semantics into account. Indeed, TypeScript 5.5 will include [new support for syntax checking of regular expressions](https://github.com/microsoft/TypeScript/pull/55600), and presumably they'll eventually be able to solve the problem the GP highlighted on top of those foundations.
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TypeScript Essentials: Distinguishing Types with Branding
Dedicated syntax for creating unique subsets of a type that denote a particular refinement is a longstanding ask[2] - and very useful, we've experimented with implementations.[3]
I don't think it has any relation to runtime type checking at all. It's refinement types, [4] or newtypes[5] depending on the details and how you shape it.
[1] https://github.com/microsoft/TypeScript/blob/main/src/compil...
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What is an Abstract Syntax Tree in Programming?
GitHub | Website
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Smart Contract Programming Languages: sCrypt vs. Solidity
Learning Curve and Developer Tooling sCrypt is an embedded Domain Specific Language (eDSL) based on TypeScript. It is strictly a subset of TypeScript, so all sCrypt code is valid TypeScript. TypeScript is chosen as the host language because it provides an easy, familiar language (JavaScript), but with type safety. There’s an abundance of learning materials available for TypeScript and thus sCrypt, including online tutorials, courses, documentation, and community support. This makes it relatively easy for beginners to start learning. It also has a vast ecosystem with numerous libraries and frameworks (e.g., React, Angular, Vue) that can simplify development and integration with Web2 applications.
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Understanding the Difference Between Type and Interface in TypeScript
As a JavaScript or TypeScript developer, you might have come across the terms type and interface when working with complex data structures or defining custom types. While both serve similar purposes, they have distinct characteristics that influence when to use them. In this blog post, we'll delve into the differences between types and interfaces in TypeScript, providing examples to aid your understanding.
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Type-Safe Fetch with Next.js, Strapi, and OpenAPI
TypeScript helps you in many ways in the context of a JavaScript app. It makes it easier to consume interfaces of any type.
- Proposal: Types as Configuration
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How to scrape Amazon products
In this guide, we'll be extracting information from Amazon product pages using the power of TypeScript in combination with the Cheerio and Crawlee libraries. We'll explore how to retrieve and extract detailed product data such as titles, prices, image URLs, and more from Amazon's vast marketplace. We'll also discuss handling potential blocking issues that may arise during the scraping process.
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Shared Tailwind Setup For Micro Frontend Application with Nx Workspace
TypeScript
What are some alternatives?
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
zod - TypeScript-first schema validation with static type inference
tensorflow - An Open Source Machine Learning Framework for Everyone
Flutter - Flutter makes it easy and fast to build beautiful apps for mobile and beyond
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Tailwind CSS - A utility-first CSS framework for rapid UI development.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
zx - A tool for writing better scripts
Keras - Deep Learning for humans
esbuild - An extremely fast bundler for the web
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
gray-matter - Smarter YAML front matter parser, used by metalsmith, Gatsby, Netlify, Assemble, mapbox-gl, phenomic, vuejs vitepress, TinaCMS, Shopify Polaris, Ant Design, Astro, hashicorp, garden, slidev, saber, sourcegraph, and many others. Simple to use, and battle tested. Parses YAML by default but can also parse JSON Front Matter, Coffee Front Matter, TOML Front Matter, and has support for custom parsers. Please follow gray-matter's author: https://github.com/jonschlinkert