Posts

  • py-todo

    📋 Lightweight reminder / todo-list in cli

    A little program to remind you of upcoming events / unfinished tasks.

    Put them into ~/.zshrc or ~/.bashrc or whatever you want, and it will stop you from putting off important shit.

    Pickled (i.e., serialized) todo list objects are saved in ~/.local/share/py-todo/todo.dat by default.

    Tags: #python • todo • todolist

  • terrastories

    Terrastories is a geostorytelling application built to enable local communities to locate and map their own oral storytelling traditions about places of significant meaning or value to them. Check out our Wiki for open source development information.

    1. About Terrastories

    2. Install Terrastories

    3. Setting up Communities and Users

    4. Customize Terrastories

    5. Demo and Tutorials

    6. Developing with Terrastories

    7. Contributing Guidelines

    Tags: #ruby • mapping-tools • indigenous-peoples

  • faker

    A Java port of the Faker ruby gem: https://github.com/stympy/faker/

    repositories {
        // ...
        maven { url 'https://jitpack.io' }
    }
    
    dependencies {
        compile 'com.github.blocoio:faker:1.2.8'
    }
    

    You can use testCompile or androidTestCompile, if you only want to use Faker for testing.

    Tags: #java • android • faker

  • ballerina-lang

    The Ballerina Programming Language

    Ballerina is an open source programming language and platform for cloud-era application programmers to easily write software that just works.

    Tags: #java • programming-language • language

  • Exchangis

    Exchangis is a lightweight,highly extensible data exchange platform that supports data transmission between structured and unstructured heterogeneous data sources

    Exchangis is a lightweight,highly extensible data exchange platform that supports data transmission between structured and unstructured heterogeneous data sources. On the application layer, it has business features such as data permission management and control, high availability of node services and multi-tenant resource isolation. On the data layer, it also has architectural characteristics such as diversified transmission architecture, module plug-in and low coupling of components.

    Exchnagis’s transmission and exchange capabilities depend on its underlying aggregated transmission engines. It defines a unified parameter model for various data sources on the top layer. It maps and configures the parameter model for each transmission engine, and then converts it into the engine’s input model. Each type of engine will add Exchangis features, and the enhancement of certain engine features will improve the Exchangis features. Exchangis’s default engine aggregated and enhanced is Alibaba’s DataX transmission engine.

    Tags: #java • exchangis • datax

  • react-native-paper-dates

    Smooth and fast cross platform Material Design date and time picker for React Native Paper

    We want developers to be able to build software faster using modern tools like GraphQL, Golang and React Native.

    Give us a follow on Twitter: RichardLindhout, web_ridge

    Tags: #typescript • material • react-native

  • simple-markdown

    JavaScript markdown parsing, made simple

    Returns a syntax tree of the result of parsing source with the default markdown rules. Assumes a block scope.

    Tags: #javascript

  • python-json-logger

    Json Formatter for the standard python logger

    Json outputs are provided by the JsonFormatter logging formatter. You can add the custom formatter like below:

    Please note: version 0.1.0 has changed the import structure, please update to the following example for proper importing

        import logging
        from pythonjsonlogger import jsonlogger
    
        logger = logging.getLogger()
    
        logHandler = logging.StreamHandler()
        formatter = jsonlogger.JsonFormatter()
        logHandler.setFormatter(formatter)
        logger.addHandler(logHandler)
    

    Tags: #python • logging

  • dovpanda

    Directions overlay for working with pandas in an analysis environment

    Directions are hints and tips for using pandas in an analysis environment. dovpanda is an overlay companion for working with pandas in an analysis environment.
    It is an overlay module that tries to understand what you are trying to do with your data, and helps you make you code more concise with readable.
    If you think your task is common enough, it probably is, and pandas probably has a built-in solution. dovpanda will help you find them.

    Tags: #python • pandas • overlay

  • vscode-bookmarks

    Bookmarks Extension for Visual Studio Code

    • New Sticky Engine
    • Adds Virtual Workspaces support
    • Adds Workspace Trust support
    • Full Remote Development support
    • Improved Multi-root support
    • Adds Cross-platform support
    • Improved Side Bar usability

    Tags: #typescript • bookmark • navigation

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