
Master mobile automation with appium using python, covering android and ios on real devices, emulators, and simulators, plus data-driven, keyword-driven, and page object models, with continuous integration and reporting.
Discover ABM, an open source mobile test automation framework, enabling native, hybrid, and mobile web testing on Android, iOS, and Windows via the WebDriver protocol, with Python support.
Understand Appium's client–server architecture, where a language client sends rest API requests to the server, which interfaces with Android and iOS vendor frameworks and supports desired capabilities and actions.
Set up Appium automation prerequisites on Windows or Mac by installing Python, Java JDK 8, Node, and Android Studio, then use the Appium UI and inspector with the client library.
Explore core python concepts, a general-purpose, interpreter-based language with dynamic typing and cross-platform, open-source roots, and its use in automation testing, AI, and machine learning.
Install python on windows, choose python 3.x (latest 3.9), understand 2.x vs 3.x, add to PATH, and set up PyCharm IDE for automation with Selenium and Appium.
Install the PyCharm community edition, create a new Python project with a virtual environment, write HelloWallet, and run it from the editor.
Install Oracle JDK 1.8 on Windows and configure global environment variables, including JAVA_HOME and PATH, to ensure compatibility with Appium and Android Studio.
Install Node.js by downloading the appropriate executable for Windows, Mac, or Linux, then simply double-click and click next to complete the straightforward installation.
Install Android Studio and configure the Android SDK by setting ANDROID_HOME and including tools and platform-tools, so you can access Android commands and connect real devices for testing.
Configure Android Studio's 3D Manager to create and run a virtual device when real devices are unavailable, and compare their performance to real devices.
Connect a real Android device with a data-capable USB cable and enable developer options and USB debugging. Authorize the computer when prompted and keep the device awake during testing.
Install and run the Appium desktop application 1.22, start the server, and use the Appium inspector to inspect elements and record tests for native and hybrid apps.
Discover how Appium 2.0 shifts server setup from a desktop GUI to Node.js CLI, adds a separate inspector, and broadens automation to desktop and flutter apps with W3C compliance.
Upgrade to JDK 11 and install Node.js, then install and run the APM 2.0 server, load the UIAutomator driver, and configure the automation name capability with APM Inspector for sessions.
Launch the first web test in Chrome with Appium 2.0 and the latest Python client. Configure UI Automator 2 options with desired capabilities and run on a real device.
Run your first native app test with Appium 2.0 on a dialer app, configuring UI Automator capabilities and using the APM inspector for element inspection and verification.
learn how to install python on mac, configure the environment via the z profile, switch to python3, and run a simple print command to verify the setup.
Install PyCharm IDE by downloading the community edition, install and launch it, create a new project with a virtual environment, and run a basic Python file to print hello world.
Install JDK 8 on macOS (prefer OpenJDK) to support Appium and Selenium, then set JAVA_HOME and PATH and verify with java -version.
Download the latest node package, install it by double-clicking, and verify with node -v and npm -v; npm, bundled with node, is used to install appium.
Install Android Studio to run Android apps and perform testing; configure Android SDK, environment variables, platform-tools and tools, set up emulators and connect real devices for testing.
Install the appium desktop application, configure environment variables for macos and windows, launch the appium server, and begin testing on a real device.
Learn how Python variables work, including naming rules, the assignment operator, identifiers vs keywords, and underscore conventions for readability and private variables, plus dynamic typing.
Explore Python data types, from numeric types (int, float, complex) and booleans to collections (list, tuple, set, dict), and learn type checking with type and isinstance, strings in double quotes.
Explore Python string types, literal quotes, and printing techniques; master slicing, indexing, concatenation, and formatting with f-strings, format, and percent methods for automation tasks.
Explore arithmetic operators—addition, subtraction, multiplication, division, modulus, exponent, and floor division—with practical examples. Apply relational and equality operators, demonstrate operator chaining, and compare strings using ord to produce boolean results.
Explore equality operators and logical operators in Python, using equal to, not equal to, and, or, and not with practical print examples, conditional checks, and a basic user authentication scenario.
Explore bitwise operators in Python, including and, or, xor, and not, with practical binary examples like 16 and 18, truth tables, and interview-ready insights.
Master left and right shift operators by shifting bits to reveal binary representations, with examples like shifting decimal 10 by two and verifying the result as 40.
Explore assignment operators such as +=, -=, and *= with real examples. Note Python lacks ++/--, and learn the ternary (conditional) operator with input-based min comparisons.
Explore identity operators and membership operators in Python, learning how is and is not compare object identity, and how in and not in verify list membership.
Master Python flow control with if, elif, and else, focusing on indentation and nested blocks through boolean conditions and practical examples like grading and section checks.
Explore for loops in python for app automation, using range to iterate over sequences, including lists and dictionaries, print outcomes, generate multiplication tables, and split strings.
Explore the while loop in Python for mobile app automation: master the syntax, true condition logic, and practical examples like counting with hello and summing numbers.
Master Python loop control with break and continue statements, using a range example to exit the loop at seven and skip the iteration when five appears.
Explore how the else block behaves after a for loop in Python, and how break and continue alter iteration and the processed items.
Learn how the pass statement acts as a placeholder in Python to keep a for loop from failing when no code runs, and distinguish it from break and continue.
Explore Python lists, their properties, and common operations: creating lists, indexing, slicing, appending, updating, deleting, sorting, and handling duplicates with practical examples.
Explore Python list operations, including repetition and concatenation, membership tests, iteration, and length calculations. Learn to find max and min values and convert a string to a list.
Learn how Python dictionaries map keys to values, create and access items, update and delete entries, and work with nested dictionaries and lists as values.
Explore Python tuples, their immutability, and how they support indexing, slicing, concatenation, repetition, and membership tests, with behavior similar to lists but no item assignment or deletion.
Explore Python sets as unordered, unindexed collections of unique items across types (strings, numbers, booleans). Learn add, remove, discard, copy, and clear operations, plus set vs list behavior.
Master Python functions as reusable blocks of code defined with def and named with underscores. Learn about parameters, arguments, returns, and types like required, keyword, default, and variable-length.
Explore object oriented programming concepts in Python, focusing on classes and objects, the blueprint and its instances, self, data members, and methods, and compare with procedural programming.
Explore Python constructors, including __init__ syntax, default and parametrized forms, and how objects auto-call the constructor on instantiation. Learn about self and why constructor overloading isn't allowed in Python.
Explore inheritance in object-oriented programming, covering single-level, multilevel, and multiple inheritance, with parent-child relationships, method reuse, and the method resolution order in Python.
Explore polymorphism by demonstrating operator overloading in Python and how to overload operators, then compare method overloading and constructor overloading with examples of overriding.
Explore polymorphism through inheritance and method overriding, enabling child classes to customize parent behavior in practice. Learn that Python does not support method or constructor overloading, unlike Java.
Explore polymorphism in Python through method and constructor overriding, and learn to use the super keyword to combine base and derived class functionality.
Explains Python class and instance variables with a dog example, showing name and color as instance data while legs remain a shared class variable accessible by class or instance.
Explore the three types of Python methods: instance, class, and static, showing how instance methods use self, class methods use @classmethod, and static methods use @staticmethod with practical examples.
Explore abstract methods and abstract classes in Python using the ABC module, define a generic web driver with a click method, and implement browser-specific behavior in Chrome and Firefox.
Explains Python's access specifiers—public, protected (single underscore), and private (double underscore)—and how naming conventions control access, illustrating encapsulation without strict enforcement.
Learn Python exception handling with try and except blocks to prevent runtime errors from breaking program flow, including division by zero and handling invalid input.
learn about the Python exception types and the hierarchy, from attribute and arithmetic errors to end-of-file and name errors. practice selective exception handling, including the finally block.
Upgrade to the Appium 2.0 python client by uninstalling the old version and installing 2.0, then update your code to replace deprecated find element commands with the new syntax.
Learn to run your first mobile web test with Appium in Python, configuring a real device, Chrome browser, desired capabilities, and remote driver, plus ChromeDriver troubleshooting.
Learn how Appium locates web app elements using locator strategies like id, accessibility id, XPath, and CSS selectors, and inspect elements with Chrome device inspection.
Explore automating web applications with Appium and Selenium by inspecting elements, selecting dropdown values, and handling option tags with value attributes for robust test automation.
Open Android Studio, launch the emulator via the virtual device manager, and run the same test from Wikipedia; ensure the Chrome driver in the APM installation matches your browser.
Install Appium via npm to install it globally, and ensure the Chrome driver matches your browser version. Start the Appium server on ports 4723 or 4724 and troubleshoot driver paths.
Start Appium services programmatically to manage the server lifecycle, then stop the service to avoid errors, and verify that the services are running and listening during test execution.
Terminate the running Appium service using an administrator PowerShell to free port 4723, kill the process by its pid, then restart Appium to continue testing.
Learn to automate a native dialer app with Appium in Python by launching the app via package and activity, dialing numbers, and making a call.
Automate adding a new contact in a native contacts app using Appium with Python, leveraging accessibility IDs and content descriptions to locate elements and handle first-run permissions with Appium inspector.
Start the Appium inspector, set automatic server and capabilities (device name Android, platform name Android, app package, activity), then record interactions and inspect elements with XPath.
Explore the appium inspector update, which splits inspector from the apm server into a separate desktop app, download setup from github, and inspect native or hybrid app elements.
Automate a native android calculator app using python with appium by defining capabilities, launching via a remote WebDriver, performing operations, and asserting results.
Learn how to backup Android apps as APK files using a file explorer, transfer them to your laptop, and install or launch them programmatically by specifying package and activity.
Automate the Amazon app with Appium by launching the app, inspecting elements with the ABM inspector, and configuring package, activity, and desired capabilities to reach the shopping screen.
Replace sleeps with explicit wait conditions, wait for the Amazon search box to become clickable, then type and press enter using Android keyboard keys.
Appium with Python - Biggest course to Master Mobile automation testing for IOS and Android on Live Projects
Latest Appium 2.0 and Appium Python client 3.1 Videos Added
As the mobile market is growing so there's a demand of Mobile application testers increasing like anything across the Globe.
Appium: supports Mobile application testing on Native, Hybrid & WebApps for Iphone, Ipads & Android real device and Emulators / Simulators.
These are the unique Appium with Python training tutorials in market that will help you in learning Mobile apps automation testing for IOS and Android in very simple way
I have covered examples on both Simulators / Emulators and Real IOS & Android Devices.
Not just the video lectures you will see the entire coding part done step by step and the lectures are explained in a very detailed and practical approach is taken in every example by the trainer.
Major frameworks covered like: PyTest, Data Driven, Keyword Driven, Hybrid, Page Object Model on Live projects
Once done with the course you will surely be able to justify 2-3 years of your current experience with Appium
Complete Python is covered from scratch, so if you are a beginner then you need not to worry about the programming part. Detailed installation of Appium and all native tools are covered from scratch. Since Appium is open source so you need not to purchase any licence to automate Mobile Applications.
During the course you will get my complete support in your queries and live projects