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...All the reporting needs are covered. One-click data fetching from the Income tax portal for all PAN. Including all PDF files (i.e. Notices, Challans, Attachments). Super simple and easy-to-use interface to track Demand, e-Proceeding, Return Status, and Notices. Inbuilt help on the Jargons used by the income tax portal.

Are you looking to enhance your trading strategies with the power of Python and machine learning? Then you need to check out PyBroker! This Python framework is designed for developing algorithmic trading strategies, with a focus on strategies that use machine learning. With PyBroker, you can easily create and fine-tune trading rules, build powerful models, and gain valuable insights into your strategy’s performance.

...Models Supported: Black-Scholes, Merton-73, Black-76, Roll Geske Whaley, Garman KohlHagen, Jump Diffusion, Quanto, Vasicek Bond Option, Turnbull Wakeman Asian, TimeSwitchOption, Look Barrier, Bachelier, PartialTimeBarrier, GapOption, Extreme Spread Option, Simple Chooser, ComplexChooser, PartialFixedLB, Executive, CashOrNothing, Extendible Writer, OptionsOnOptions, BAWAmericanApprox, BSAmericanApprox, AssetOrNothing, Bisection, BAWbisection, BSbisection, Gfrench, Gcarry, Swapoption, Complex Chooser, Super Share, EquityLinkedFXO, Spread Approximation, BinaryBarrier and more

OpenSourceBilling or OSB is a simple, open source web application for creating and sending invoices, receiving payments, managing clients, and tracking and reporting. There’s no need to pay for these services because OSB does it all for free and easily. OSB can produce reports of sales, payments and collected revenues, and simply makes billing and invoicing hassle-free. OSB comes with plenty of built-in features, such as recurring invoices, exporting to PDF, time tracking, receiving...

...Now, it is possible to use as many cores in a network as you want. With a focus on the MILP methods we implement a load balancing and speed up the solving process in a multiplicative way. Sometimes we have super-linear speedup with a small set of hardware. With a splitting of problems, parallel computing and distributing the actual best solution to all running processes we solve CBP much faster than a sequential processing can do.