Conspectus hub

Data is the new science. Big data holds the answers. - Pat Gelsinger, CEO 1. Programmable Web  Description:   This is a site where you can obtain API's to extract data from some of the biggest sites on the internet. Link address:   API Directory Examples : Google maps API, Instagram API, Twitter API etc. 2. Postman API Development Description:   An online tool that you can use to access millions of APIs on the internet. You can also develop your own API if you happen to own a site. Link address:   API TOOL  Examples : Paypal API, Adobe API, Coursera API etc. 3. Facebook graph Description:   An online tool that you can use to access data about Facebook pages. Link address:   API  Examples : graph.facebook.com/youtube  - Access page data, e.g likes, number of posts etc. 4. APIGEE Description:   An online GUI tool that lets your extract and send data to various web platforms Link ad...

A python package is a collection of python module s. These modules are python scripts with *.py file extension. Typically, these scripts will contain python functions, classes, custom data types etc. Looking at the figure above, the Game package consist of an _init_.py file together with 3 other sub-packages Sound, Image and Level respectively. The _init_.py file must be included inside a directory for it to be considered a python package.In addition, the directory must be defined inside sys.path. Example usage: 1. import Game.Level.Start Suppose the start.py module consists of a function called mince() Inside your python application, you would need to call it as follows 2. Game.Level.Start.mince(<input_params>) Alternatively, you can reference it as follows 3. from Game. Level import Start     // recommended approach 4. Start.mince(<input_params>) A less common method is calling the function as if it was defined inside your curr...

We live in a digital age, where billions of digital devices emit high value "big data" every minute. These digital devices include smartphones, electric vehicles, smart watches, laptops, smart meters, smart cities etc. Big data refers to extremely high volume data that may be structured or unstructured . Structured data typically comes in table format with clear labels while unstructured data comes in  non-table format (e.g. Twitter posts, Facebook posts, YouTube videos, Instagram posts etc.) Sources of big data Big data is characterized by: 1. High velocity 2. High volume 3. High variety 4. High veracity 5. High value Learn more:  What is big data?