Testing websites and applications

By Shrinath S.

QA Test Engineer
India
Contact Seller
$172.41 Cost
14 days Delivery

Description

More than 4 years of experience in IT industry as a QA engineer and have worked on multiple domains which include Banking and Financial Services, Healthcare and E-commerce.

My skills:
- Web apps and software testing
- Functional testing
- Regression testing
- Cross browsing testing
- Developing of QA documentation (Test Scenarios, Test cases)
- Using different approaches for testing your product
- Bug reporting (detailed bug reporting include screenshots or video)
- Hands on experience using HP Quality Center, Jira, Testrail and Zephyr

Thank you for your time and consideration. I look forward to working with you soon.

What seller need from the Buyer to get started?

> Detailed Software Requirement Documents
> A walkthrough or a demo on the project
> Website URLs and valid credentials

You'll find all feedbacks here

Other services by Shrinath S.

Testing websites and applications
by Shrinath S.
Testing websites and applications

More than 4 years of experience in IT industry as a QA engineer and have worked on multiple domains which include Banking and Fina...

$172.41

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Python is a fast, flexible, and powerful programing language that's freely available and used in many application domains. Python is known for its clear syntax, concise code, fast process, and cross-platform compatibility.

 

Python is considered to be in the first place in the list of all AI and machine learning development languages due to the simplicity. The syntaxes belonging to python are terribly easy and can be easily learn. Therefore, several AI algorithms will be easily implemented in it. Python takes short development time as compared to different languages like Java, C++ or Ruby. Python supports object oriented, functional as well as procedure oriented styles of programming. There are lots of libraries in python that make our tasks easier.

 

Some technologies relying on python:

Python has become the core language as far as the success of following technologies is concerned. Let’s dive into the technologies which use python as a core element for research, production and further developments.

 

  1. Networking: Networking is another field in which python has a brighter scope in the future. Python programming language is used to read, write and configure routers and switches and perform other networking automation tasks in a cost-effective and secure manner.
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Why Choose Python for Artificial Intelligence and Machine Learning?

Whether a startup or associate MNC, Python provides a large list of benefits to all. The usage of Python is specified it cannot be restricted to only one activity. Its growing popularity has allowed it to enter into some of the most popular and complicated processes like artificial intelligence (AI), Machine Learning (ML), natural language process, data science etc. The question is why Python is gaining such momentum in AI? And therefore the answer lies below:

 

Flexibility: Flexibility is one of the core advantages of Python. With the option to choose between OOPs approach and scripting, Python is suitable for every purpose. It works as a perfect backend and it also suitable for linking different data structures together.

 

Platform agnostic: Python provides developer with the flexibility to provide an API from the existing programming language. Python is also platform independent, with just minor changes in the source codes, you can get your project or application up and running on different operating systems.

 

Support: Python is a completely open source with a great community. There is a host of resources available which can get any developer up to speed in no time. Not to forget, there is a huge community of active coders willing to help programmers in every stage of developing cycle.

 

Prebuilt Libraries: Python has a lot of libraries for every need of your AI project. Few names include Numpy for scientific computation, Scipy for advanced computing and Pybrain for machine learning.

 

Less Code: Python provides ease of testing - one of the best among competitors. Python helps in easy writing and execution of codes. Python can implement the same logic with as much as 1/5th code as compared to other OOPs languages.

 

Applications of Python:

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