AMIS Services BV (@AMIS-Services)

Top repositories

1

code-cafe

The Code CafΓ© is a low key, relaxed series of meetups where we explore various technologies, tools, programming aids and other fun stuff in a relaxed setting. This repository contains artifacts for the code cafe sessions.
JavaScript
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2

code-cafe-20200504

Resources for Code Cafe Online 4th May 2020
TSQL
10
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3

oracle-cloud-native-meetup-20-january-2020

Resources for the Meetup on Oracle Cloud Native - 20 January 2020.
HTML
3
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4

jfall2019-graalvm

Sources for the JFall 2019 session HOW AND WHY GRAALVM IS QUICKLY BECOMING RELEVANT FOR YOU
Java
3
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5

20190912-data-analytics-timeseries

Materials for the Conclusion & AMIS Machine Learning Guild - MeetUp on Data Analytics and Time Series
Jupyter Notebook
3
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6

kafka-introduction-workshop

This repo contains resources for the Apache Kafka & Microservices Introduction Workshop for students of Fontys Hogeschool - March 2021 (updated from April 2020)
JavaScript
3
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7

sig-docker-kubernetes-20190715

Introduction to Docker and Kubernetes - demo-scripts
HTML
2
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8

SIG-JHipster

JHipster is a development platform to generate, develop and deploy Spring Boot + Angular/React Web applications and Spring microservices.
Java
2
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9

react-series

JavaScript
2
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10

code-cafe-20200310

Sources and handson instructions for the Code Cafe of Tuesday March 10th 2020
Shell
1
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11

sig-graphql

Java
1
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12

code-cafe-20200518

Resources for Code Cafe Online 18th May 2020
HTML
1
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13

code-cafe-20200630

1
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14

sig-apache-camel-22082019

Apache Camel is a powerful Open Source Integration Framework based on Enterprise Integration Patterns
Java
1
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15

sig-java-unittesting

Java
1
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16

sig-containers-20220412

Container SIG vakgroep integratie
Shell
1
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17

code-cafe-20200608

Materials for the Code Cafe Online of June 8th 2020
F#
1
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18

ansible_sig_1

Ansible Lecture and Workshop
Ruby
1
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19

online-meetups-introduction-of-kafka

The materials for the On Line Meet Up: Introduction of Apache Kafka
JavaScript
1
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20

machine-learning-session-one-7-may-2018

Our first session in a series on machine learning. A general overview and introductory workshops from a functional and a more technical angle
R
1
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