Udemy – Complete Angular Course Go From Zero to Hero

Udemy – Complete Angular Course Go From Zero to Hero-BiFiSO
English | Size: 586.36 MB
Category: Tutorial

Complete Angular course. Learn Angular from scratch and go from beginner to advanced in Angular.
What you’ll learn
Learn The Basics
Learn Advanced Methods
Step By Step Instructions So That You Can Go From Zero To Hero
A Complete Tutorial Explaining Everything You Need To Know
Real-World Examples With Hands On Tutorials
Get Answers To Your Every Single Questions

0-Day Week of 2020/03/18

0-Day Week of 2020/03/18
English | Size: 9.32 GB
Category: Comic

2000AD 2173 (2020) (Digital-Empire).cbr
2000AD prog 2173 (2020) (digital) (Minutemen-juvecube).cbr
2020 Iron Age 001 (2020) (Digital) (Zone-Empire).cbr
2020 Machine Man 002 (2020) (Digital) (Zone-Empire).cbr
Adler 001 (2020) (Digital) (BATScan-SWA).cbr
Adler 002 (2020) (Digital) (BATScan-SWA).cbr

Udemy – Build Your First iOS App With Apple’s Swift and Xcode

Udemy – Build Your First iOS App With Apple’s Swift and Xcode-BiFiSO
English | Size: 4.55 GB
Category: Tutorial

Learn the basics of Swift and Xcode for app development quick and fast. For those with no programming experience!
Learn to code in Swift 3.0 with app and game examples
Learn the fundamentals of control flow
Learn how to use functions to perform tasks
Use if statements and loops
Build a simple calculator app in Xcode

Cloud Academy – Using Azure Data Lake Storage Gen2

Cloud Academy – Using Azure Data Lake Storage Gen2-STM
English | Size: 484.40 MB
Category: Tutorial

Azure Data Lake Storage Gen2 (ADLS) is a cloud-based repository for both structured and unstructured data. For example, you could use it to store everything from documents to images to social media streams Data Lake Storage Gen2 is built on top of Blob Storage This gives you the best of both worlds. Blob Storage provides great features like high availability and lifecycle management at a very low cost. Data Lake Storage provides additional features, including hierarchical storage, fine-grained security, and compatibility with Hadoop The most effective way to do big data processing on Azure is to store your data in ADLS and then process it using Spark (which is essentially a faster version of Hadoop) on Azure Databricks