Name: Vakindu Philliam
Type: User
Company: @appwrite
Bio: Node.JS Backend/Frontend Developer, UI/UX, Flutter/Dart, RESTful APIs, Android/iOS Mobile Developer, Python/Django, AI, JavaScript, PostgreSQL, Scala.
Twitter: VakinduPhilliam
Location: Kampala, Uganda
Blog: http://Linkedin.com/in/VakinduPhilliam
Vakindu Philliam's Projects
The Adam Blockchain Computer (Adam BC) is a decentralized blockchain based super computer.
Aerial Atlas ET is built to show the beauty of our planet as seen from 36,000 Km above earth.
Build highly concurrent, distributed, and resilient message-driven applications on the JVM
Run Akka Cluster applications in Kubernetes.
The Streaming-first HTTP server/module of Akka
Java SDK for Akka Serverless
A cross-platform, OpenGL terminal emulator.
Managing memory used by an App while in use.
Angular User Interface A great demonstration on designing Angular UI. Technologies used include; > LESS for clarity improvement of CSS. > CoffeeScript, Bootstrap and HAML for frontend UX. > JavaScript and NodeJS for Asynchronous effects. Compiled and presented by Vakindu Philliam.
Asante AI is an AI powered safari recommendation engine for African travel destinations.
Mining node and rovers for the five genesis chains of Block Collider.
Bitfull is an AI powered web app that uses Machine Learning to determine the most relevant Bitbucket project issues and pull requests that require the developer's urgent attention.
Lisk Blockchain SDK (Cloned).
Creating bots.
Binary Search Tree (BST): JavaScript BST Coding Challenges, Problems & Solutions.
Cask: a Scala HTTP micro-framework
Caterpillar Zombie is an invasion game where players defend their fruits from invading zombie caterpillars.
Lightweight, modular, and extensible library for functional programming.
Python Serverless Microframework for AWS
Streaming JSON parsing and decoding with fs2
Cloudflow enables users to quickly develop, orchestrate, and operate distributed streaming applications on Kubernetes.
The ARK Core Blockchain Framework. Check https://learn.ark.dev for more information.
:chains: A Framework for Building High Value Public Blockchains :sparkles:
C++ examples to demonstrate the processes of identifying the various classifications of integer natural numbers.
C++ examples to demonstrate the various processes of handling file directories.
C++ examples to demonstrate the process of mapping out the frequency occurrences of words and numbers in a given text or string.
C++ examples to demonstrate the process of identifying specific data or strings in a given text or document using regular expressions (Regex).
The following scripts are written to demonstrate how to extend the Python Programming language with C and C++. To support extensions, the Python API (Application Programmers Interface) defines a set of functions, macros and variables that provide access to most aspects of the Python run-time system. The Python API is incorporated in a C source file by including the header "Python.h". The compilation of an extension module depends on its intended use as well as on your system setup. Note: The C extension interface is specific to CPython, and extension modules do not work on other Python implementations. In many cases, it is possible to avoid writing C extensions and preserve portability to other implementations. For example, if your use case is calling C library functions or system calls, you should consider using the ctypes module or the cffi library rather than writing custom C code. These modules let you write Python code to interface with C code and are more portable between implementations of Python than writing and compiling a C extension module. Compiled and presented by Vakindu Philliam.
Python C/C++ Runtime API. The Application Programmerβs Interface to Python gives C and C++ programmers access to the Python interpreter at a variety of levels. There are two fundamentally different reasons for using the Python/C API. The first reason is to write extension modules for specific purposes; these are C modules that extend the Python interpreter. This is probably the most common use. The second reason is to use Python as a component in a larger application; this technique is generally referred to as embedding Python in an application. Compiled and presented by Vakindu Philliam.
Explore Django's Low-level and high-level API for signing values with Python.
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