Awesome List Updates on Jun 08, 2017

12 awesome lists updated today.

🏠 Home · 🔍 Search · 🔥 Feed · 📮 Subscribe · ❤️ Sponsor

1. Awesome ad Free

Alternatives / Reference

2. Awesome Free Software

Software / Operating Systems

3. Amas

Ask these people anything!

4. Awesome Jvm

Nix tools

5. Awesome Hacking Locations

Norway 🇳🇴 / Stavanger

Coffeeberry

Awesome coffee with breakfast deal of coffee, juice and rye bread w/ brown cheese.

Webpage: http://www.coffeeberry.com/

Wifi Power Address Open Hours
Klubbgata 3 Mon-Fri 7:00-19:00, Sat 9:00-18:00, Sun 11:00-18:00

Kokko

Roasters, Architecture, Design, Books.

Webpage: http://www.kokkokokko.no/

Wifi Power Address Open Hours
Østervåg 43 Mon-Thu 10:00-19:00, Fri-Sat 10:00-01:00, Sun 11:00-18:00

Norway 🇳🇴 / Tromsø

Bluebird

Award winning coffee and cosy place.

Webpage: https://www.facebook.com/Bluebirdkaffebar/

Wifi Power Address Open Hours
Kongsgata 48 Mon-Fri 8:00-18:00, Sat 10:00-17:00, Sun Closed.

Poland 🇵🇱 / Krakow

Racoon coffee and More

Webpage: https://www.facebook.com/Racoon-Coffee-More-as-303455009847582/

Wifi Power Address Open Hours
Kongens gate 6 Mon-Thu 7:30-17:00, Fri 7:30-23:00, Sat 10:00-17:00, Sun 12:00-17:00

6. Awesome Remote Job

Tools / Others

7. Awesome Tensorflow

Tutorials

8. Vertx Awesome

Integration

9. Awesome Swift

Keychain / Barcode

UI / Barcode

10. Awesome Mac

Input Methods / Audio Record and Process

11. Awesome Android

GUI

Crash monitoring / Field Validation

Database / Field Validation

12. Rbooks

Beginner Books

Data Munging with R [Manning]

Data Munging with R shows you how to take raw data and transform it for use in computations, tables, graphs, and more. Whether you already have some programming experience or you're just a spreadsheet whiz looking for a more powerful data manipulation tool, this book will help you get started.

You'll discover the ins and outs of using the data-oriented R programming language and its many task-specific packages. With dozens of practical examples to follow, learn to fill in missing values, make predictions, and visualize data as graphs. By the time you're done, you'll be a master munger, with a robust, reproducible workflow and the skills to use data to strengthen your conclusions!