Search Results for "run 3"

Technical Analysis Indicators - Pandas TA is an easy-to-use Python 3 Pandas Extension with 130+ Indicators. Pandas Technical Analysis (Pandas TA) is an easy-to-use library that leverages the Pandas package with more than 130 Indicators and Utility functions and more than 60 TA Lib Candlestick Patterns. Many commonly used indicators are included, such as: Candle Pattern(cdl_pattern), Simple Moving Average (sma) Moving Average Convergence Divergence (macd), Hull Exponential Moving Average (hma...

... base. It doesn’t run your main loop, initialize your application window or assume to be the only code drawing in your window. Instead, you tell WonderGUI about mouse and keyboard events and the screen regions where widgets might need to be redrawn. This makes WonderGUI an excellent toolkit for games and media applications.

=========== pytkapp =========== Python package for develop an application that provide multi-documents/single-document interface with using of tkinter library and set of additional tkinter widgets. See available demos: pytkapp/demo/run_ptaoptionsdemo.py - run GUI demo for option's container (available widgets, rules) pytkapp/demo/run_ptamdidemo.py - run demo of MDI application pytkapp/demo/run_ptasdidemo.py - run demo of SDI application pytkapp/demo/run_tkwbasicdemo.py - run demo...

... transformations. Currently, it targets (1) multicore X86 CPUs, (2) Nvidia GPUs, (3) Xilinx FPGAs (Vivado HLS) and (4) distributed machines (using MPI). It is designed to enable easy integration of code generators for new architectures.

A webapp made in Django to generate a portfolio.

Shoestring is a lightweight, modular DOM framework intended for developers who need their code to download and run as fast as possible. It is intended to be "just enough" of a tool to efficently write maintainable cross-browser JavaScript. The API is modeled after jQuery but we intentionally implement a tiny subset of the API to cover only the methods we commonly need in our projects. Each feature is built as an optional extension to a minimal core so each can be removed from the production...

A base Rails 4 application. Features user and admin system with Facebook login. It is instadeployable to Heroku. The view is implemented using Bootstrap 3.

Project aims to implement a C-like language interpreter with small code and memory footprint for 32bit microcontrollers. At the time of writing, parser code size for Cortex-M3 is less than 10K and VM is less than 3K. RAM requirements mostly depend on code size and complexity, but few kilobytes should be enough to handle most reasonably simple cases. Parser and VM are written with code size priority, not security. Project should not be used to run code (and bytecode) from untrusted sources.