Awesome List Updates on Nov 04, 2018

6 awesome lists updated today.

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1. Awesome Kde

Utilities & Tools

• KeePassXC - Cross-platform community-driven port of Keepass password manager.

Development & Programming

• Qt Designer - Qt tool for designing and building graphical user interfaces (GUIs) with Qt Widgets.

Plasma desktop / Cursors

• Bibata - Material Based Cursor Theme.

Articles / Display Manager

• Nate Graham's Blog - Adventures in Linux and KDE.

2. Awesome Serverless

Blog posts

• Serverless computing requires a shift in mindset - Why IT leaders must communicate business value when talking about serverless solutions.

3. Awesome Markdown

CMS / Blogs

• Hugo - Fast & Modern Static Website Engine.

Tools / Converters

• Markdown to PDF - Simple and useful website for converting Markdown to PDF.

Tools / Linters

• remark-lint (⭐866) - Markdown code style linter.

Services / Presentations

• GitBook - GitBook is a modern publishing toolchain. Making both writing and collaboration easy.

Resources / Documentation

• CommonMark - Strongly defined, highly compatible specification of Markdown.

4. Awesome Cpp

Graphics

• TinySpline (⭐1.2k) - A small, yet powerful ANSI C library for interpolating, transforming, and querying arbitrary NURBS, B-Splines, and Bézier curves. [MIT]

JSON

• LIBUCL (⭐1.6k) ⚡ - Universal configuration library parser. [BSD-2-Clause]

Multimedia

• libav (⭐1.1k) - A collection of libraries and tools to process multimedia content such as audio, video, subtitles and related metadata. [LGPL v2.1+ and others] website

Networking

• Wangle (⭐3.1k) - A client/server application framework to build asynchronous, event-driven modern C++ services. [Apache-2.0]

5. Awesome Dotnet Core

Frameworks, Libraries and Tools / Application Frameworks

• Cinchoo ETL (⭐762) - ETL Framework for .NET (Parser / Writer for CSV, Flat, Xml, JSON, Key-Value formatted files).

6. Awesome Algorithms

Books / Algorithms and Data structures

• Classic Computer Science Problems in Python -This great book presents dozens of coding challenges, ranging from simple tasks to clustering data using k-means.

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• Next: Nov 03, 2018