Appium Python Tutorial for Mobile App Automation

A few developers recently are reaching for Python in places that surprised me a bit. Embedded systems, mobile apps, infrastructure tooling - not the usual data and scripting territory it's known for. It's made me think about how far Python's footprint has actually spread, and where it genuinely fits vs where it's just... familiar. Places it makes complete sense: AI and data tooling: still its home turf, no argument there Backend scripting and automation: natural fit DevOps workflows: growing fast and largely works well Places it's turning up that raised an eyebrow: Mobile apps where performance overhead is real Embedded systems where memory constraints matter Frontend-adjacent tooling that probably wanted something else Not a criticism, Python is brilliant in the right context. But when a language gets big enough, momentum starts doing the decision-making. Developers and Python right now, (let the image do the rest) Curious what others are seeing - where's the most unexpected place you've come across Python recently?

Python overview from scratch Great—this is exactly the right starting point 👍 I’ll teach you Python step-by-step from zero to professional level, just like a roadmap for your SDET journey. 🐍 Python Overview (From Scratch) 🔹 What is Python? Python is a high-level, easy-to-learn programming language used for: Automation (very important for SDET 🔥) Web development Data analysis Testing (Selenium, Cypress, APIs) 👉 Simple meaning: Python = A language to give instructions to a computer in an easy way 🔹 Why Python is Best for You (SDET Focus) Since you're preparing for SDET, Python is perfect because: Easy syntax (beginner friendly) Huge support for testing tools Used in automation frameworks Fast development 👉 Tools you’ll use later: Selenium (UI Automation) PyTest (Testing framework) Requests (API Testing) 🔹 First Python Program This is your first Python code: print("Hello Rohit") 👉 Output: Hello Rohit 🧠 Explanation: print() → used to display output "Hello Rohit" → string (text) 🔹 Variables (Very Important) Variables store data. name = "Rohit" age = 22 salary = 15000 👉 Types: str → text int → number float → decimal 🔹 Data Types in Python name = "Rohit" # String age = 22 # Integer marks = 85.5 # Float is_pass = True # Boolean 🔹 Taking User Input name = input("Enter your name: ") print("Hello", name) 👉 Real-world use: forms, login systems 🔹 Conditions (Decision Making) age = 18 if age >= 18: print("You can vote") else: print("You cannot vote") 🔹 Loops (Repetition) For Loop: for i in range(5): print(i) 👉 Output: 0 1 2 3 4 🔹 Functions (Reusable Code) def greet(): print("Hello Rohit") greet() 🔹 Lists (Important for Testing) fruits = ["apple", "banana", "mango"] print(fruits[0]) # apple 🔹 Python Real Use in Testing (🔥 Important) Example: # API testing example import requests response = requests.get("https://api.example.com") print(response.status_code) Masai #dailylearning #masaiverse #SDET

A simple web app of number sorting using AntiGravity by refactoring the insertion sort algorithm written in Python. What does this app do? This is a very simple app doing number sorting using JavaScript. Long time ago I have created another even simpler sorting app using Python before. But that app runs in command line only. Recently I want to refactor it to see what can it look like using vibe coding, by testing the coding ability of AntiGravity. How was it made? I used AntiGravity's coding function, then give it a command like "Here is a sorting code created using Python. Refactor it so that it can run on web, using standard tech stack like HTML, CSS and JavaScript. Make it stylist and modern." Why did I make it? I wanted to test the vibe coding capability of AntiGravity so that my simple sorting algorithm using insertion sort can run as a web app. Besides, by looking at the code created by AntiGravtiy, I can learn how the refactoring was done. Source : https://lnkd.in/gGzsBK7b

Kivy Tutorial: Building a Custom Chat Interface with BoxLayout In the rapidly evolving world of mobile and desktop application development, creating intuitive and engaging user interfaces is paramount. For developers working with Python, the Kivy framework stands out as a powerful tool for building cross-platform applications with a modern look and feel. While Kivy offers a wide array of built-in widgets, the true power lies in the ability to combine and customize them to create unique user experiences....

Yesterday, I said I will work on a roadmap to help me become a better Python Developer. Today, I created the desktop application that will help me accomplish that. The idea is really simple but is really easy to use. First, I have the Task Board on the left and the Calendar on the right. When someone writes in the Task Board and hits 'Enter', the text is stored as a pill. The settings at the top ribbon allowed me to set the colour of the pill, the intensity of the task or the XP of the task which will eventually assist in calculating the progress of the user. The pills themselves can be dragged and dropped into any day in the calendar to allow for easy sorting and resorting. However, supposing you wrote everything you needed in the correct order in the Task Board, you could automatically arrange them in the calendar (as depicted in the video) in ascending or descending order. You could also automatically arrange them according to your preferred days. That is, if you wanted to work only on Tuesdays and Wednesdays alone, then you could select that in the calendar and the tasks will be auto-arranged to fill only Tuesdays and Wednesdays. Finally, I added a little widget that pops up at boot time and 50 minutes after. The widget shows you your learning streak, reminds you of the last task you were required to do and reminds you how far behind you are from the last task. It also shows you your overall progress based off the XP assigned to the task. Then the cherry on top is the timer that you click immediately you want to start working on your project.

🚀 Deploy Python Apps in Minutes with PythonAnywhere 🚀 Recently I deployed one of my applications using PythonAnywhere, and honestly it was one of the easiest deployment experiences I've had as a developer. If you're working with Python projects and want a simple way to host them online, this platform is definitely worth exploring. 🔹 What is PythonAnywhere? PythonAnywhere is a cloud-based platform that allows developers to run, build, and deploy Python applications directly from the browser without managing servers or complex infrastructure. It supports frameworks like Flask and Django and is perfect for quickly hosting Python web apps. 🔹 How we use it The deployment process is surprisingly simple: 1️⃣ Upload your project or connect GitHub 2️⃣ Create a virtual environment 3️⃣ Configure your web app (Flask/Django) 4️⃣ Set WSGI configuration 5️⃣ Reload the app and your project is live 🌐 Within minutes your Python application is accessible online. 🔹 Where it is useful ✔ Hosting Flask or Django apps ✔ Running automation scripts ✔ Data science tools ✔ Developer portfolios ✔ Quick MVP deployments ✔ Learning cloud deployment 🔹 Why I liked it • Very beginner friendly • No server setup required • Simple dashboard • Free tier available • Perfect for small to medium Python projects 💡 If you want a complete step-by-step guide to deploy apps using PythonAnywhere, comment "Python" and I will send you the full blog guide. #Python #PythonAnywhere #WebDevelopment #Flask #Django #CloudComputing #Developers #Programming #DevTools #SarotechHub

Python REPL IDE Web App Update - Version 2.1.1 Hi All! — LOTS of Major New Updates to the Python REPL IDE (yes, tho' it's a IDE for Python using the Pyodide library, it was written in Astro / React.JS!). We're all the way up to version 2.1.1, a looooooooong way from the last version 1.4.0! And here's some of the NEW NEW GOODNESS packed into this baby —    * Fixed the dreaded blank page error on load!    * Moved Client UI Static FIles into an AWS S3 Bucket for quicker start-up loading    * Fixed a race condition where two AWS Serverless Lambda instances could create duplicate profiles    * Fixed the "Complete Profile" modal where the Cancel/X button was broken    * Fixed user files not loading after sign-in    * Now Has Full Console Input Support with Python's `input()`    * Added fallback for browsers that don't support JSPI — uses `window.prompt()` instead    * Set-up Testing Infrastructure — Vitest for unit testing and Playwright for end-to-end (browser) testing of API route tests, React component tests, hook tests, and schema validation tests    * Created a Pyodide stub so Python-related tests can run in Node.JS    * Projects! (& new database table) — Added a brand-new "Projects" table to the Turso database, files can be organized into projects    * Wrote unit tests for the new Projects feature    * Astro 6 & Vite 7 compatibility fixes    * Save/Open dialogs, project management, and Explorer drag-and-drop! — Added a Save Dialog that opens with Cmd+S (Mac) or Ctrl+S (Windows/Linux)    * Added an Open/Import Dialog for importing .py and .txt files from your local filesystem into the IDE or into a specific project (only .py and .txt files can be saved or imported) - FOR LOGGED-IN USER ACCOUNTS ONLY    * Created full Project management: create projects in the Explorer, group files under projects, and delete projects    * Explorer pane shows projects as collapsible folders with nested files underneath    * Drag-and-drop support: drag files into projects or out to the general Explorer area    * Added "Open / Import" button in the toolbar (visible when signed in)    * Created React Query hooks for project CRUD and file-to-project assignment    * Playwright (end-to-end test engine) test reliability fix & dependency updates — Fixed Playwright end-to-end tests stalling indefinitely    * Updated Astro, drizzle-orm, aws-cdk, react-resizable-panels, lucide-react, & Pyodide NPM Packages So that's it! Try it out, make an account for yourself, do some Python :snake: code!! Enjoy. * The Python REPL IDE Web App - https://pyrepl.dev/ * Full CHANGELOG-simple.md — https://lnkd.in/gpZjmwsc * Python REPL IDE / Code Canvas Astro GitHub Repository — https://lnkd.in/gXdMe2qu

Kivy Tutorial: Build Dynamic Forms with Custom Validation In the world of application development, user input is a cornerstone. Whether you're building a simple contact form, a complex registration system, or an order processing interface, the way users interact with your application through forms is critical to its success. In this tutorial, we'll dive deep into building dynamic forms with custom validation in Kivy, a powerful Python framework for rapid application development....

🐍📰 The Django Template Language: Tags and Filters Django templates use their own mini-language that's inspired by Python. This tutorial covers Django template tags and filters, explaining how to compile and use templates. #python