Learn React Testing | Crash Course

Learn about testing in React including unit, e2e and integration testing with React Testing Library, Jest & Cypress

Timestamps:
0:00 - Brad Intro
0:55 - Mitchel Intro
1:24 - Why should you test?
1:58 - What to test?
5:48 - Demo app setup
11:06 - Unit tests
25:11 - Integration tests
28:07 - End-to-End tests
55:56 - Wrap up

Starter Repo:
https://github.com/MitchelSt/react-testing-starter 

Final Repo:
https://github.com/MitchelSt/react-testing-finished

#react #testing 

What is GEEK

Buddha Community

How native is React Native? | React Native vs Native App Development

If you are undertaking a mobile app development for your start-up or enterprise, you are likely wondering whether to use React Native. As a popular development framework, React Native helps you to develop near-native mobile apps. However, you are probably also wondering how close you can get to a native app by using React Native. How native is React Native?

In the article, we discuss the similarities between native mobile development and development using React Native. We also touch upon where they differ and how to bridge the gaps. Read on.

A brief introduction to React Native

Let’s briefly set the context first. We will briefly touch upon what React Native is and how it differs from earlier hybrid frameworks.

React Native is a popular JavaScript framework that Facebook has created. You can use this open-source framework to code natively rendering Android and iOS mobile apps. You can use it to develop web apps too.

Facebook has developed React Native based on React, its JavaScript library. The first release of React Native came in March 2015. At the time of writing this article, the latest stable release of React Native is 0.62.0, and it was released in March 2020.

Although relatively new, React Native has acquired a high degree of popularity. The “Stack Overflow Developer Survey 2019” report identifies it as the 8th most loved framework. Facebook, Walmart, and Bloomberg are some of the top companies that use React Native.

The popularity of React Native comes from its advantages. Some of its advantages are as follows:

• Performance: It delivers optimal performance.
• Cross-platform development: You can develop both Android and iOS apps with it. The reuse of code expedites development and reduces costs.
• UI design: React Native enables you to design simple and responsive UI for your mobile app.
• 3rd party plugins: This framework supports 3rd party plugins.
• Developer community: A vibrant community of developers support React Native.

Why React Native is fundamentally different from earlier hybrid frameworks

Are you wondering whether React Native is just another of those hybrid frameworks like Ionic or Cordova? It’s not! React Native is fundamentally different from these earlier hybrid frameworks.

React Native is very close to native. Consider the following aspects as described on the React Native website:

• Access to many native platforms features: The primitives of React Native render to native platform UI. This means that your React Native app will use many native platform APIs as native apps would do.
• Near-native user experience: React Native provides several native components, and these are platform agnostic.
• The ease of accessing native APIs: React Native uses a declarative UI paradigm. This enables React Native to interact easily with native platform APIs since React Native wraps existing native code.

Due to these factors, React Native offers many more advantages compared to those earlier hybrid frameworks. We now review them.

#android app #frontend #ios app #mobile app development #benefits of react native #is react native good for mobile app development #native vs #pros and cons of react native #react mobile development #react native development #react native experience #react native framework #react native ios vs android #react native pros and cons #react native vs android #react native vs native #react native vs native performance #react vs native #why react native #why use react native

Learn Software Testing Course in Delhi - APTRON Solutions

Many institutes are having a Software Testing Training And Placement In Delhi but few of them are very great at teaching. In the event that you want to learn about software testing. We have designed this software testing training course to learn software testing fundamentals and gently to introduce you to advanced software testing techniques. This course is designed and taught by the working testing professionals having experience. In APTRON Solutions we provide the most practical and software testing job oriented training in Delhi. There are many reasons why software testing has gained such a great amount of importance in the IT field. Firstly, software testing helps in reducing the overall cost and time of the software development project. On the off chance that testing is ignored in the initial development phases to save money, then it might turn out to be a very expensive matter later. Because when proceeding onward with the development process it becomes more difficult to trace back defects and rectifying one defect somewhere can introduce another defect in some other module.

Software testing is a sensible activity which identifies defects in the software bugs or loopholes and helps in correcting and preventing those bug and loopholes before the software get released to the end-user. In this universe of increasing addictiveness on Software, Improper performing of software can lead to serious situations, for example, injuries or might be death (airplane software failure might lead to fatalities), loss of time, loss of money and etc. Software testing field has become one of the fastest-developing industries of corporate IT expenditure. In Delhi are there were lots of opportunities for software testing. As indicated by Pierre Audoin Consultants Testing has become one of the fastest-developing segment of corporate IT sector and worldwide it is spending on testing will reach approximately €85bn in 2011, and will nearly hit the €300bn mark by 2017 meaning that is enormous growth in opportunities for Software Testers.

Software testing Institute in Delhi with 100% Job Guarantee

On the off chance that you are searching for the best Software Testing Institute in Delhi, then your search is officially over. APTRON Solutions offers you with one of the most in-depth training courses in the field of software testing that will absolutely ensure a high paying role in the tech industry. Due to over reliance on software services, training and testing these services have become one of the essential requirements of the industry. With the help of our courses you can ensure that these roles are acutely served to the best of your capabilities. Contact our institute today to enroll yourself into our software testing training module and get yourself a high paying job in one of the most quickly increasing industries. On the off chance that you have a basic idea of software and how they work we will ensure that the knowledge hole is bridged with customized training modules, and we of course provide lessons from scratch. Our institute likewise provide you access to add-on courses, for example, soft skills, programming, project work, attitude, etc. APTRON Solutions means to provide an inside and out training which won’t just help you discover a career in an esteemed company, but additionally help you present the best type of yourself.

#Software Testing Training #Software Testing Course #Software Testing Training in Delhi #Software Testing Course in Delhi #Software Testing Institute

Where To Learn Test Programming — July 2020 Edition

What do you do when you have lots of free time on your hands? Why not learn test programming strategies and approaches?

When you’re looking for places to learn test programming, Test Automation University has you covered. From API testing through visual validation, you can hone your skills and learn new approaches on TAU.

We introduced five new TAU courses from April through June, and each of them can help you expand your knowledge, learn a new approach, and improve your craft as a test automation engineer. They are:

These courses add to the other three courses we introduced in January through March 2020:

• IntelliJ for Test Automation Engineers (3 hrs 41 min)
• Cucumber with JavaScript (1 hr 22 min)
• Python Programming (2 hrs)

Each of these courses can give you a new set of skills.

Let’s look at each in a little detail.

Mobile Automation With Appium in JavaScript

Orane Findley teaches Mobile Automation with Appium in JavaScript. Orane walks through all the basics of Appium, starting with what it is and where it runs.

“Appium is an open-source tool for automating native, web, and hybrid applications on different platforms.”

In the introduction, Orane describes the course parts:

• Setup and Dependencies — installing Appium and setting up your first project
• Working with elements by finding them, sending values, clicking, and submitting
• Creating sessions, changing screen orientations, and taking screenshots
• Timing, including TimeOuts and Implicit Waits
• Collecting attributes and data from an element
• Selecting and using element states
• Reviewing everything to make it all make sense

The first chapter, broken into five parts, gets your system ready for the rest of the course. You’ll download and install a Java Developer Kit, a stable version of Node.js, Android Studio and Emulator (for a mobile device emulator), Visual Studio Code for an IDE, Appium Server, and a sample Appium Android Package Kit. If you get into trouble, you can use the Test Automation University Slack channel to get help from Orane. Each subchapter contains the links to get to the proper software. Finally, Orane has you customize your configuration for the course project.

Chapter 2 deals with elements and screen interactions for your app. You can find elements on the page, interact with those elements, and scroll the page to make other elements visible. Orane breaks the chapter into three distinct subchapters so you can become competent with each part of finding, scrolling, and interacting with the app. The quiz comes at the end of the third subchapter.

The remaining chapters each deal with specific bullets listed above: sessions and screen capture, timing, element attributes, and using element states. The final summary chapter ensures you have internalized the key takeaways from the course. Each of these chapters includes its quiz.

When you complete this course successfully, you will have both a certificate of completion and the code infrastructure available on your system to start testing mobile apps using Appium.

Selenium WebDriver With Python

Andrew Knight, who blogs as The Automation Panda, teaches the course on Selenium WebDriver with Python. As Andrew points out, Python has become a popular language for test automation. If you don’t know Python at all, he points you to Jess Ingrassellino’s great course, Python for Test Programming, also on Test Automation University.

In the first chapter, Andrew has you write your first test. Not in Python, but Gherkin. If you have never used Gherkin syntax, it helps you structure your tests in pseudocode that you can translate into any language of your choice. Andrew points out that it’s important to write your test steps before you write test code — and Gherkin makes this process straightforward.

The second chapter goes through setting up a pytest, the test framework Andrew uses. He assumes you already have Python 3.8 installed. Depending on your machine, you may need to do some work (Macs come with Python 2.7.16 installed, which is old and won’t work. Andrew also goes through the pip package manager to install pipenv. He gives you a GitHub link to his test code for the project. And, finally, he creates a test using the Gherkin codes as comments to show you how a test runs in pytest.

In the third chapter, you set up Selenium Webdriver to work with specific browsers, then create your test fixture in the pytest. Andrew reminds you to download the appropriate browser driver for the browser you want to test — for example, chromedriver to drive Chrome and geckodriver to drive Firefox. Once you use pipenv to install Selenium, you begin your test fixture. One thing to remember is to call an explicit quit for your webdriver after a test.

Chapter 4 goes through page objects, and how you abstract page object details to simplify your test structure. Chapter 5 goes through element locator structures and how to use these in Python. And, in Chapter 6, Andrew goes through some common webdriver calls and how to use them in your tests. These first six chapters cover the basics of testing with Python and Selenium.

Now that you have the basics down, the final three chapters review some advanced ideas: testing with multiple browsers, handling race conditions, and running your tests in parallel. This course gives you specific skills around Python and Selenium on top of what you can get from the Python for Test Programming course.

#tutorial #performance #testing #automation #test automation #automated testing #visual testing #visual testing best practices #testing tutorial

Is Software Testing a Good for Career?

Software Testing is the hottest job at present time. The requirement for a software tester is increasing day by day with a good salary package depended on their skills in the software development companies.

Software testing has become a core part of application/product implementations. The good who want to make a career in software testing because it has a great scope of software testing is increasing day-by-day in the IT field.

The roles of a software tester are given according to their skills and experience. Here are the following is given below:

QA Analyst (Fresher)
Sr. QA Analyst (2-3 years’ experience)
QA Team Coordinator (5-6 years’ experience)
Test Manager (8-11 years’ experience)
Senior Test Manager (14+ experience)

Reasons Why Software Testing Is Good Career Option

Good Salary Package
Software tester gets paid a high salary package on which a software developer gets. It doesn’t matter beginner or fresher payment scale is on the same level all depended on their skill. Companies raise their salary based on skill, experience, and certification.

High In Demand
Now in the modern age competition is high for a software tester to provide high-quality products and services. For quality, final product testing is a basic core screening element which is the demand for Automation software testing is high in comparison to manual testing. Similarly, both software development and testing have great career opportunities for never-ending opportunities.

Easy To Enter In IT Sector
Whatever stream graduates can easily get into the IT sector by completed their online Software testing course. You don’t need to know advanced coding knowledge if you think that requires it. The only matter is interest to learn and work.

Easy To Learn
Many institutes provide software testing courses or online Software training from where you learn tools used for testing can easily by anyone who has an interest. Those who have basic coding skills can enter into software testing. However, It will not be easy for those who choose software testing just because of the trend and don’t have their interest in it.

Work As Freelancer
Software Testing is a flexible job, you can work on freelancing. Now there is the option to work from home in the IT sector in a flexible to maintain a work-life balance.

In other words, many companies prefer freelance work to reduce the cost and also the result is high, therefore one who has done a software testing training course either can work freelance or regular job the decision is up to you.

#software testing online training #software testing online course #software testing training in noida #software testing training in delhi #software testing training #software testing course

Pros and Cons of Machine Learning Language

Amid all the promotion around Big Data, we continue hearing the expression “AI”. In addition to the fact that it offers a profitable vocation, it vows to tackle issues and advantage organizations by making expectations and helping them settle on better choices. In this blog, we will gain proficiency with the Advantages and Disadvantages of Machine Learning. As we will attempt to comprehend where to utilize it and where not to utilize Machine learning.

In this article, we discuss the Pros and Cons of Machine Learning.
Each coin has two faces, each face has its property and highlights. It’s an ideal opportunity to reveal the essence of ML. An extremely integral asset that holds the possibility to reform how things work.

Pros of Machine learning

1. **Effectively recognizes patterns and examples **

AI can survey enormous volumes of information and find explicit patterns and examples that would not be evident to people. For example, for an online business site like Amazon, it serves to comprehend the perusing practices and buy chronicles of its clients to help oblige the correct items, arrangements, and updates pertinent to them. It utilizes the outcomes to uncover important promotions to them.

**Do you know the Applications of Machine Learning? **

2. No human mediation required (mechanization)

With ML, you don’t have to keep an eye on the venture at all times. Since it implies enabling machines to learn, it lets them make forecasts and improve the calculations all alone. A typical case of this is hostile to infection programming projects; they figure out how to channel new dangers as they are perceived. ML is additionally acceptable at perceiving spam.

3. **Constant Improvement **

As ML calculations gain understanding, they continue improving in precision and productivity. This lets them settle on better choices. Let’s assume you have to make a climate figure model. As the measure of information you have continues developing, your calculations figure out how to make increasingly exact expectations quicker.

4. **Taking care of multi-dimensional and multi-assortment information **

AI calculations are acceptable at taking care of information that is multi-dimensional and multi-assortment, and they can do this in unique or unsure conditions. Key Difference Between Machine Learning and Artificial Intelligence

5. **Wide Applications **

You could be an e-posterior or a social insurance supplier and make ML work for you. Where it applies, it holds the ability to help convey a considerably more close to home understanding to clients while additionally focusing on the correct clients.

**Cons of Machine Learning **

With every one of those points of interest to its effectiveness and ubiquity, Machine Learning isn’t great. The accompanying components serve to confine it:

1.** Information Acquisition**

AI requires monstrous informational indexes to prepare on, and these ought to be comprehensive/fair-minded, and of good quality. There can likewise be times where they should trust that new information will be created.

2. **Time and Resources **

ML needs sufficient opportunity to allow the calculations to learn and grow enough to satisfy their motivation with a lot of precision and pertinence. It additionally needs monstrous assets to work. This can mean extra necessities of PC power for you.
**
Likewise, see the eventual fate of Machine Learning **

3. **Understanding of Results **

Another significant test is the capacity to precisely decipher results produced by the calculations. You should likewise cautiously pick the calculations for your motivation.

4. High mistake weakness

AI is self-governing yet exceptionally powerless to mistakes. Assume you train a calculation with informational indexes sufficiently little to not be comprehensive. You end up with one-sided expectations originating from a one-sided preparing set. This prompts unessential promotions being shown to clients. On account of ML, such botches can set off a chain of mistakes that can go undetected for extensive periods. What’s more, when they do get saw, it takes very some effort to perceive the wellspring of the issue, and significantly longer to address it.

**Conclusion: **

Subsequently, we have considered the Pros and Cons of Machine Learning. Likewise, this blog causes a person to comprehend why one needs to pick AI. While Machine Learning can be unimaginably ground-breaking when utilized in the correct manners and in the correct spots (where gigantic preparing informational indexes are accessible), it unquestionably isn’t for everybody. You may likewise prefer to peruse Deep Learning Vs Machine Learning.

#machine learning online training #machine learning online course #machine learning course #machine learning certification course #machine learning training