Host and run your applications without the need to manage infrastructure. Scales up from and down to zero automatically.
Cloud Run is the fastest way to deploy containerized apps. Push your code in Go, Python, Node.js, Java, or any language and Cloud Run builds and deploys it automatically. Get fast autoscaling, pay only when your code runs, and skip the infrastructure headaches. Two million requests free per month. And new customers get $300 in free credit.
Try Cloud Run Free
Cut Data Warehouse Costs up to 54% with BigQuery
Migrate from Snowflake, Databricks, or Redshift with free migration tools. Exabyte scale without the Exabyte price.
BigQuery delivers up to 54% lower TCO than cloud alternatives. Migrate from legacy or competing warehouses using free BigQuery Migration Service with automated SQL translation. Get serverless scale with no infrastructure to manage, compressed storage, and flexible pricing—pay per query or commit for deeper discounts. New customers get $300 in free credit.
MatPy is a Python package for numerical linear algebra and plotting with a
MatLab-like interface. It currently consists of wrappers around Numeric and
Gnuplot packages, but eventually may be implemented directly in C/C++, or as
interface to Octave.
Port of Numerical Python to Jython (Java Python) to support all mathematical operations (linear algebra, matrices, DSP, wavelets, FFT, arrays...) and thus compete with commercial packages such as Matlab. It can be easily embedded in Java programs.
$300 in Free Credit for Your Google Cloud Projects
Build, test, and explore on Google Cloud with $300 in free credit. No hidden charges. No surprise bills.
Launch your next project with $300 in free Google Cloud credit—no hidden charges. Test, build, and deploy without risk. Use your credit across the Google Cloud platform to find what works best for your needs. After your credits are used, continue building with free monthly usage products. Only pay when you're ready to scale. Sign up in minutes and start exploring.
KPNClac is a polish notation calculator intended to inspired by the HP48 Series calculators. It handles complex numbers and will someday handle matricies. The next current development version allows user programmable functions via python.
This project is a python module containing functions to do with matricies. The functions allow all of the standard matrix operations plus a few extras.
with nodeCol you can create nodes and connect them with edges. then the script checks if there is a possibility to colorize the nodes with a specific number of colors without having two nodes, connectet with one edge, getting the same color.
Stop waiting on engineering. Build production-ready internal tools with AI—on your company data, in your cloud.
Retool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
Project to Design and Implement a new programming language.
The language is named Hybrid (c), as it's nature.
We "build on" existing languages (Python & others), and not start from scratch (as C++ builds on C). see Docs.
Packaging code for SnapPea, a program for creating and studying hyperbolic 3-manifolds.
This is for packaging ONLY. SnapPea itself (and its successor SnapPy) can be found at: http://www.math.uic.edu/t3m/SnapPy/
A gnome mathematical GUI designed to be a central tool where you can launch various other existing mathematical tools.
It now supports Numerical Python Session, and more soon.
Pfem is a python-based finite element program aimed at
solving solid mechanics and heat transfer problems with
flexibility, efficiency and sound object-oriented design.
Mathfun.py is a Python library that contains those little bits of mathemagical ideas that we all enjoy. Primes, prime factorization, Fibonacci sequences, string2value functions...
PYthon RELiabilitY
A python package implementing state-of-the-art numerical methods arising in the field of uncertainty quantification : from statistical inference to uncertainty propagation for various purposes.
Central schemes offer a simple and versatile approach for computing approximate solutions of non-linear systems of hyperbolic conservation laws and related PDEs.