Build productive Python web applications with Visual Studio Code, Azure and Azure DevOps

Want to deploy your Python web applications in just one click? In this video Nina Zakharenko will show you how to configure Visual Studio Code as a productive Python development environment, and use integrations to easily create, debug, and deploy Python applications to the cloud with Azure Web Apps on Linux. Want to ship code faster? Nina will teach you how, using Azure DevOps to automatically build and deploy your apps.

Thanks for reading :heart: If you liked this post, share it with all of your programming buddies! Follow me on Facebook | Twitter

Learn More

☞ Complete Python Bootcamp: Go from zero to hero in Python 3

☞ Python for Time Series Data Analysis

☞ Python Programming For Beginners From Scratch

☞ Python Network Programming | Network Apps & Hacking Tools

☞ Intro To SQLite Databases for Python Programming

☞ Ethical Hacking With Python, JavaScript and Kali Linux

☞ Beginner’s guide on Python: Learn python from scratch! (New)

☞ Python for Beginners: Complete Python Programming

Manual Testing in Azure DevOps

Manual Testing in Azure DevOps

For manual testing in [Azure DevOps](https://onlineitguru.com/devops-with-azure-training.html "**Azure DevOps**"), first, we need to create test plans and test suites for tracking manual testing for any events. **How to create Test Plans for...

For manual testing in Azure DevOps, first, we need to create test plans and test suites for tracking manual testing for any events.
How to create Test Plans for Manual Testing?
In Manual Testing, first, create test plans. Follow the below steps to create Test Plans.
In Azure DevOps Server, open your project and click Azure Test Plans or the Test hub in Azure DevOps Server. If you have a test plan, then select the Test plans to visit the page that has all test plans.
Select New Test Plan in the test plane page, to make a test plan for your present event.
In the New Test Plan, type the test plan name. Check the region path and repetition is set in the correct way. Then select Create.
How to add requirement-based test suite and select backlog items for manual testing:
Now attach test suites for pending items that have to be tested manually to perform manual testing in Azure with DevOps.
For adding a suite to a test plan, choose + new menu and select a type of test suite. We can use requirement-based suites to collect our test cases collectively.
By this, we can track the testing condition of a backlog item. Every test case that we add to a requirement-based test suite is connected to the backlog item, automatically.
Under ‘Create requirement-based suites’, we can add one or more paragraphs to separate our work objects, by using a repetitive path for the event. Run the query to see the related pending items.
Under the work items lists given by the query, choose the backlog items we want to test in this event. Select ‘Create suites’ for making a requirement-based suite, for everyone.
How to Create Manual Test Cases for Manual Testing?
Wehave to create Manual Testing cases to verify whether every result, is according to the users’ requirements. Arrange your test cases by attaching them to test plans and test suites. Then select the testers that we need to run the tests in Azure DevOps online training.
Follow the below steps to create test cases in Azure with DevOps:
After creating a test plan and requirement based test suites. Choose a requirement based test suite.
On the Right side of the window, select New Test case.
Select the Click or type here to attach a step link, and add test steps along with the explanation of the action needed for testing, and the expected outputs so that anyone from the team can run the test.
If we want, we can also add any attachments to any step.
Repeat the process until you finished adding all the steps for the test. Now, your test case is created which you can run.
How to Run Manual Tests?
We can run our manual tests and save the outcomes for every test step, with Microsoft Test Runner. If you identify a problem while manual testing, create a bug using Test Runner.
Follow the below steps to run tests in Azure with DevOps for web apps.
After creating the manual tests, in the test suite, choose a test and run it.
Begin the app which you want to test. It is not necessary to run your app on the same computer, as Test Runner. We have to use Test Runner simply to save failed or passed tests while manually running the test.
Mark every test step as passed or failed depending on the expected outcomes. When a test step fails, we can type a comment explaining the reason for its failure.
Create a bug, so that we can able to explain what has failed. The steps and our comments will be added to the bug automatically, and the test case will be connected to the bug.
We can see any bugs that we have specified while our test session.
Save the outputs and close the test runner, after running all tests. All test outputs will be saved in Azure DevOps.
See the status of testing for your test suite. You can see the new output for every test.
Open a test and select the test case in a related work part. To see the bugs filed by the tester, use the child links in the related work area of that work product.
In this article, I have shared how to do manual testing in Azure with DevOps. Follow my articles, to get more updates on Azure DevOps online training India.

Python GUI Programming Projects using Tkinter and Python 3

Python GUI Programming Projects using Tkinter and Python 3

Python GUI Programming Projects using Tkinter and Python 3

Description
Learn Hands-On Python Programming By Creating Projects, GUIs and Graphics

Python is a dynamic modern object -oriented programming language
It is easy to learn and can be used to do a lot of things both big and small
Python is what is referred to as a high level language
Python is used in the industry for things like embedded software, web development, desktop applications, and even mobile apps!
SQL-Lite allows your applications to become even more powerful by storing, retrieving, and filtering through large data sets easily
If you want to learn to code, Python GUIs are the best way to start!

I designed this programming course to be easily understood by absolute beginners and young people. We start with basic Python programming concepts. Reinforce the same by developing Project and GUIs.

Why Python?

The Python coding language integrates well with other platforms – and runs on virtually all modern devices. If you’re new to coding, you can easily learn the basics in this fast and powerful coding environment. If you have experience with other computer languages, you’ll find Python simple and straightforward. This OSI-approved open-source language allows free use and distribution – even commercial distribution.

When and how do I start a career as a Python programmer?

In an independent third party survey, it has been revealed that the Python programming language is currently the most popular language for data scientists worldwide. This claim is substantiated by the Institute of Electrical and Electronic Engineers, which tracks programming languages by popularity. According to them, Python is the second most popular programming language this year for development on the web after Java.

Python Job Profiles
Software Engineer
Research Analyst
Data Analyst
Data Scientist
Software Developer
Python Salary

The median total pay for Python jobs in California, United States is $74,410, for a professional with one year of experience
Below are graphs depicting average Python salary by city
The first chart depicts average salary for a Python professional with one year of experience and the second chart depicts the average salaries by years of experience
Who Uses Python?

This course gives you a solid set of skills in one of today’s top programming languages. Today’s biggest companies (and smartest startups) use Python, including Google, Facebook, Instagram, Amazon, IBM, and NASA. Python is increasingly being used for scientific computations and data analysis
Take this course today and learn the skills you need to rub shoulders with today’s tech industry giants. Have fun, create and control intriguing and interactive Python GUIs, and enjoy a bright future! Best of Luck
Who is the target audience?

Anyone who wants to learn to code
For Complete Programming Beginners
For People New to Python
This course was designed for students with little to no programming experience
People interested in building Projects
Anyone looking to start with Python GUI development
Basic knowledge
Access to a computer
Download Python (FREE)
Should have an interest in programming
Interest in learning Python programming
Install Python 3.6 on your computer
What will you learn
Build Python Graphical User Interfaces(GUI) with Tkinter
Be able to use the in-built Python modules for their own projects
Use programming fundamentals to build a calculator
Use advanced Python concepts to code
Build Your GUI in Python programming
Use programming fundamentals to build a Project
Signup Login & Registration Programs
Quizzes
Assignments
Job Interview Preparation Questions
& Much More

Guide to Python Programming Language

Guide to Python Programming Language

Guide to Python Programming Language

Description
The course will lead you from beginning level to advance in Python Programming Language. You do not need any prior knowledge on Python or any programming language or even programming to join the course and become an expert on the topic.

The course is begin continuously developing by adding lectures regularly.

Please see the Promo and free sample video to get to know more.

Hope you will enjoy it.

Basic knowledge
An Enthusiast Mind
A Computer
Basic Knowledge To Use Computer
Internet Connection
What will you learn
Will Be Expert On Python Programming Language
Build Application On Python Programming Language