PFalkowski 

Do you find yourself adding numbers to the collection and recalculating mean each time? This package is intended to solve the issue. The statistics are always ready and calculating mean for next element does not require iterating over whole collection. On-the-fly calculation of mean, variance,... More information

Lightweight extensions methods (and constants) for common programming tasks: Suffixes (AsMemory, AsTime), Interpolate, Partition, Shuffle (O(n)), Softmax, InnerProduct, IsPrime, ManhattanDistance, EuclideanDistance, InClosedRange, MeanSquaredError, EqualsWithTolerance, HsVtoArgb, Scale, Fit and... More information

The LoggerLite is a .NET Core and .NET classic compatible solution, featuring one interface ILogger, handfull of implementations and a passive debouncer. The solution is a thin wrapper around .NET FileStreaming, XDocument, Console and other classes. Currently, the project contains following... More information

ProgressReporter estimating remaing time, remaining cycles (iterations), keeping track of average cycle duration. TransferProgress in addition keeps track of current and average bitrate,

Serialize and deserialize easly from XDocument, XmlDocument and CSV.

The package is intended to help generate various sequences, random and with rules. Provided is Sequence class, that given min, max and step. Calculate, without enumerating, sum, length, Variance, Standard Deviation etc.. Can enumerate lazily all elements. Also, extension methods to System.Random... More information

Random interface implemented with Cryptographically-Secure Pseudo-Random Number Generator. Everywhere you use System.Random, StrongRandom can be used now. Additionally missing boilerplate extensions for any Random: NextBool, NextChar, NextString etc. added. Strongly unit tested.

Exceptions are irrelevant, untill they occur. Then, they are absolutely central. A mundane task of adding the same behaviour of displaying the error message to the screen or logging it to file or event log is wasteful and can lead to errors. The package reduces the amount of bloat to zero using... More information

Your everyday interfaces: IUnitOfWork, IRepository<T>, IFactory<T>, IValidatable, IValueEquatable<T>, IConverter<TIn,TOut>, IFormatter<T>. Nothing more, nothing less. .NET Standard 2.0, MIT

Infrastracture for persistance of stock quotes in daily format (open, high, low, close) and import from CSV files in .NET Standard 2.1

Thin .NET standard package containing one interface IFormatter<T> with member Format(T) and one InvariantCulture implementation. Use, when you often override ToString() or add some 'Verbose()' methods yet do not want to miss S in SOLID.

Persistance layer for stocks using Entity Framework Core. .NET Standard 2.0

Model for persistance of stock quotes in daily format (open, high, low, close) .NET Standard 2.0

Prompt a user to GetNaturalInt, GetPathFromUser, GetBinaryDecisionFromUser. Also, ShowSpinnerUntilConditionTrue to show spinner progress controll in console.

Serialize and deserialize easly from and to CSV.

Estimate RAM usage of any managed object.

High level services that will help you manipulate stock data. StocksFileProvider, StocksDeserializer, StocksBulkDeserializer

Serialize and deserialize easly from XDocument, XmlDocument and convert between them.

Get CPU and RAM usage, check process name and whether it's elevated etc.

bulk insert using SqlBulkCopy for StockQuotes in daily format.