The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
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30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
FCC China open source codebase and curriculum. Learn to code and help nonprofits.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
- kedro
- hacktoberfest
- mlops
- python
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
- cntk
- visualization
- tensorflow
- model-converter
A library of extension and helper modules for Python's data analysis and machine learning libraries.
- python
- machine-learning
- data-science
- data-mining
Radzen Blazor is the most sophisticated free UI component library for Blazor, featuring 155+ native components including DataGrid, Scheduler, Charts, and advanced theming with full support for Material Design and Fluent UI. If Radzen Blazor is useful to you, a ⭐ on GitHub helps other Blazor developers find it.
- blazor
- asp-net-core
- blazor-components
- blazor-application
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
- data-science
- python
- dag
- data-engineering
A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).
- r
- learning-resources
- awesome
- awesome-list
Jupyter widget helpers for ROS, the Robot Operating System
A curated list of resources to help you with ArcGIS development, APIs, SDKs, tools, and location services
- arcgis
- arcgis-apis
- developer-experience
- developers
cpp11 helps you to interact with R objects using C++ code.
- r
- cpp11
- cpp
A visual tool to help developers understand Elixir recompilation in their projects
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
- python3
- data-science
- machine-learning
- python
A CLI tool to reduce the friction between data scientists by reducing git conflicts removing notebook metadata and gracefully resolving git conflicts.
- cli
- jupyter-notebook
- helper-tool
- pydantic
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
- data-science
- deep-learning
- finance
- financial-data
The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.
- data-harmonization
- data-science
- depression
- harmonisation
Collection of composable D3 components built with ember-d3-helpers
A simple helper library with 2 NBConvert exporters for PDF/HTML export with no code cells
- jupyterlab
- jupyter
- python
- nbconvert
Collection of resources to help you get started with the ArcGIS Maps SDK for JavaScript 4.x. If you like it, please consider giving this repo a ⭐
- arcgis-js-api
- esri-javascript-api
- esri
- esri-js
A JupyterLab extension to jump to the line in the file of the stack trace, search Google for the error in Stack Overflow, or ask Bing Chat for help.
- bingchat
- jupyterlab-extension
- stackoverflow
- stacktrace