# IBM-Developer

**Repository Path**: davyzhu/IBM-Developer

## Basic Information

- **Project Name**: IBM-Developer
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-02-29
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# IBM-Developer
Source code for articles and tutorials I've written for IBM Developer (formerly IBM Code, formerly IBM developerWorks)

Directories you'll find in this repository (as of 28 July 2019):

```
IBM-Developer/
├── Kotlin
├── NcaaMarchMadness
├── Node.js
└── README.md (this file)
```

## Kotlin

```
IBM-Developer/
└── Kotlin
    ├── LICENSE
    ├── Unit_10
    ├── Unit_11
    ├── Unit_12
    ├── Unit_13
    ├── Unit_14
    ├── Unit_15
    ├── Unit_16
    ├── Unit_17
    ├── Unit_2
    ├── Unit_4
    ├── Unit_6
    ├── Unit_7
    ├── Unit_8
    └── Unit_9
```

**Description**: Code that accompanies my Kotlin Learning Path. The LP consists of 17 units where you learn Kotlin, along with principles of object-oriented and functional programming.

Click [here to start Part 1 of the series](https://developer.ibm.com/series/learn-kotlin/).

## NcaaMarchMadness

Code that accompanies [IBM Developer deep learning tutorial](https://developer.ibm.com/tutorials/cc-artificial-neural-networks-neuroph-machine-learning/) where I describe the neural network software I wrote to predict winners of the NCAA Men's Basketball Tournament, held every year in March.

The code uses the [Neuroph framework](http://neuroph.sourceforge.net/download.html), along with data you download from [NCAA.com]().

Click [here](https://developer.ibm.com/tutorials/cc-artificial-neural-networks-neuroph-machine-learning/) to start the tutorial.

## Node.js

```
IBM-Developer/Node.js/
└── Node.js
    └── Course
        ├── LICENSE
        ├── README.md
        ├── Unit-10
        ├── Unit-11
        ├── Unit-12
        ├── Unit-14
        ├── Unit-2
        ├── Unit-3
        ├── Unit-4
        ├── Unit-5
        ├── Unit-6
        ├── Unit-7
        ├── Unit-8
        ├── Unit-9
        ├── common
        ├── data
        └── settings
```
**Description**: Code that accompanies articles and tutorials about Node.js.

Click [here to start Part 1 of the series](https://developer.ibm.com/articles/learn-node-unit-1-overview-nodejs-learning-path/).

### Course

**Description**: Code that accompanies my Node.js Learning Path. The LP consists of 14 units where you learn how to use Node from the ground up.