apps

This tutorial will show how to update the contract to save some data in the blockchain as well as how to inspect the blockchain to see our transactions. Link

Star Admin (Free Version) admin dashboard designed by BootstrapDash and coded in Django Framework with SQLite database, ORM, authentication and deploy scripts for Docker, Gunicon and Heroku. Designed based on the Bootstrap framework, Star Admin is a powerful, feature-rich, and super flexible admin dashboard template. It serves as the perfect starting point for both simple and complex web development projects.

Our deep learning platform enables you to build and deploy AI models Link

Welcome to Web Code Tools; the best tools for web developers. Here, you’ll find code generators to help you with your front-end web projects. If you don’t see something that you wish was here, send me an email and I’ll do my best to create a tool for you. Link

Vercel combines the best developer experience with an obsessive focus on end-user performance. Our platform enables frontend teams to do their best work. Link

Automate workflows and deliver smooth user experiences with Django and Celery Link

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Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love. This includes numpy, pandas and sklearn. It is open-source and freely available. It uses existing Python APIs and data structures to make it easy to switch between Dask-powered equivalents. Vaex is a high-performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. It can calculate basic statistics for more than a billion rows per second.

Take full advantage of all the Google Analytics features and data using its REST API and Python Link

Terality is a Serverless Data Processing Engine that processes the data in the Cloud. There is no need to manage infrastructure as Terality takes care of scaling compute resources. Its target audiences are Engineers and Data Scientists. Link

See how to use Listener APIs and data quality libraries to get different levels of data observability for Apache Spark. Link

This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning. Link

Software Engineering for Machine Learning are techniques and guidelines for building ML applications that do not concern the core ML problem – e.g. the development of new algorithms – but rather the surrounding activities like data ingestion, coding, testing, versioning, deployment, quality control, and team collaboration. Good software engineering practices enhance development, deployment and maintenance of production level applications using machine learning components. Link

1.Django + Vue + GraphQL + AWS Cookiecutter 2.Cookiecutter Pipeline for SAM based Serverless App 3.Cookiecutter Python Microservice 4.A cookiecutter template for bootstrapping a FastAPI and React project using a modern stack. 5.Cookiecutter for pyTorch 6.Cookiecutter for Data Science 1 7.Cookiecutter for Data Science 2 8.Cookiecutter for Data Science 3

1.Cookiecutter Django 2.Jumpstart your Django Project with Cookiecutter 3.Using django cookiecutter cloud storage (GCP) 4.AWS Blue Green deployment 5.Cookiecutter Flask 6.Cookiecutter Django + PostGres + Docker + DramatiQ 7.Django + React 8.Django + React example 9.Django + React tutorial