Description

React Native: Tips, Tricks, and Techniques

React Native: Tips, Tricks, and Techniques
.MP4, AVC, 380 kbps, 1920×1080 | English, AAC, 160 kbps, 2 Ch | 3h 25m | 741 MB Instructor: Pavlos Vinieratos

Make your React Native development smoother, smarter, and faster with this highly practical guide

Mobile application development has seen a bit of a surge lately with the advent of multi-platform frameworks like React Native.

This course helps to provide you with valuable tips and tricks to help make your development process easier, and less tedious. You will find tips about reusable logic with Higher Order Components, tips for better upgrading, tips on styling and separation of concerns. You will be getting some useful & cool tips on using tools for faster React Native development, such as reactotron, react-native-debugger and making your own logger for debugging and analytics. Finally, some tips and useful scripts you can use, and a nice way to use feature flags for your application.

In addition, we will purposefully structure the code in such a way so that you can download it and apply it in your own projects. Moreover, we explain step-by-step where and how to modify the code to insert YOUR dataset, to tailor the algorithm to your needs, to get the output that you are after.

This is a course which naturally extends into your career.

5. IN-COURSE SUPPORT

Have you ever taken a course or read a book where you have questions but cannot reach the author?

Well, this course is different. We are fully committed to making this the most disruptive and powerful Deep Learning course on the planet. With that comes a responsibility to constantly be there when you need our help.

In fact, since we physically also need to eat and sleep we have put together a team of professional Data Scientists to help us out. Whenever you ask a question you will get a response from us within 48 hours maximum.

No matter how complex your query, we will be there. The bottom line is we want you to succeed.

— The Tools —

Tensorflow and Pytorch are the two most popular open-source libraries for Deep Learning. In this course you will learn both!

TensorFlow was developed by Google and is used in their speech recognition system, in the new google photos product, gmail, google search and much more