Open in app Get started ITNEXT Published in ITNEXT You have 2 free member-only stories left this month. Sign up for Medium and get an extra one Kush Kush Follow Apr 15, 2021 · 7 min read · Listen Save How you can Control your Android Device with Python Photo by Caspar Camille Rubin on Unsplash Photo by Caspar Camille Rubin on Unsplash Introduction A while back I was thinking of ways in which I could annoy my friends by spamming them with messages for a few minutes, and while doing some research I came across the Android Debug Bridge. In this quick guide I will show you how you can interface with it using Python and how to create 2 quick scripts. The ADB (Android Debug Bridge) is a command line tool (CLI) which can be used to control and communicate with an Android device. You can do many things such as install apps, debug apps, find hidden features and use a shell to interface with the device directly. To enable the ADB, your device must firstly have Developer Options unlocked and USB debugging enabled. To unlock developer options, you can go to your devices settings and scroll down to the about section and find the build number of the current software which is on the device. Click the build number 7 times and Developer Options will be enabled. Then you can go to the Developer Options panel in the settings and enable USB debugging from there. Now the only other thing you need is a USB cable to connect your device to your computer. Here is what todays journey will look like: Installing the requirements Getting started The basics of writing scripts Creating a selfie timer Creating a definition searcher Installing the requirements The first of the 2 things we need to install, is the ADB tool on our computer. This comes automatically bundled with Android Studio, so if you already have that then do not worry. Otherwise, you can head over to the official docs and at the top of the page there should be instructions on how to install it. Once you have installed the ADB tool, you need to get the python library which we will use to interface with the ADB and our device. You can install the pure-python-adb library using pip install pure-python-adb. Optional: To make things easier for us while developing our scripts, we can install an open-source program called scrcpy which allows us to display and control our android device with our computer using a mouse and keyboard. To install it, you can head over to the Github repo and download the correct version for your operating system (Windows, macOS or Linux). If you are on Windows, then extract the zip file into a directory and add this directory to your path. This is so we can access the program from anywhere on our system just by typing in scrcpy into our terminal window. Getting started Now that all the dependencies are installed, we can start up our ADB and connect our device. Firstly, connect your device to your PC with the USB cable, if USB debugging is enabled then a message should pop up asking if it is okay for your PC to control the device, simply answer yes. Then on your PC, open up a terminal window and start the ADB server by typing in adb start-server. This should print out the following messages: * daemon not running; starting now at tcp:5037 * daemon started successfully If you also installed scrcpy, then you can start that by just typing scrcpy into the terminal. However, this will only work if you added it to your path, otherwise you can open the executable by changing your terminal directory to the directory of where you installed scrcpy and typing scrcpy.exe. Hopefully if everything works out, you should be able to see your device on your PC and be able to control it using your mouse and keyboard. Now we can create a new python file and check if we can find our connected device using the library: Here we import the AdbClient class and create a client object using it. Then we can get a list of devices connected. Lastly, we get the first device out of our list (it is generally the only one there if there is only one device connected). The basics of writing scripts The main way we are going to interface with our device is using the shell, through this we can send commands to simulate a touch at a specific location or to swipe from A to B. To simulate screen touches (taps) we first need to work out how the screen coordinates work. To help with these we can activate the pointer location setting in the developer options. Once activated, wherever you touch on the screen, you can see that the coordinates for that point appear at the top. The coordinate system works like this: A diagram to show how the coordinate system works A diagram to show how the coordinate system works The top left corner of the display has the x and y coordinates (0, 0) respectively, and the bottom right corners’ coordinates are the largest possible values of x and y. Now that we know how the coordinate system works, we need to check out the different commands we can run. I have made a list of commands and how to use them below for quick reference: Input tap x y Input text “hello world!” Input keyevent eventID Here is a list of some common eventID’s: 3: home button 4: back button 5: call 6: end call 24: volume up 25: volume down 26: turn device on or off 27: open camera 64: open browser 66: enter 67: backspace 207: contacts 220: brightness down 221: brightness up 277: cut 278: copy 279: paste If you wanted to find more, here is a long list of them here. Creating a selfie timer Now we know what we can do, let’s start doing it. In this first example I will show you how to create a quick selfie timer. To get started we need to import our libraries and create a connect function to connect to our device: You can see that the connect function is identical to the previous example of how to connect to your device, except here we return the device and client objects for later use. In our main code, we can call the connect function to retrieve the device and client objects. From there we can open up the camera app, wait 5 seconds and take a photo. It’s really that simple! As I said before, this is simply replicating what you would usually do, so thinking about how to do things is best if you do them yourself manually first and write down the steps. Creating a definition searcher We can do something a bit more complex now, and that is to ask the browser to find the definition of a particular word and take a screenshot to save it on our computer. The basic flow of this program will be as such: 1. Open the browser 2. Click the search bar 3. Enter the search query 4. Wait a few seconds 5. Take a screenshot and save it But, before we get started, you need to find the coordinates of your search bar in your default browser, you can use the method I suggested earlier to find them easily. For me they were (440, 200). To start, we will have to import the same libraries as before, and we will also have our same connect method. In our main function we can call the connect function, as well as assign a variable to the x and y coordinates of our search bar. Notice how this is a string and not a list or tuple, this is so we can easily incorporate the coordinates into our shell command. We can also take an input from the user to see what word they want to get the definition for: We will add that query to a full sentence which will then be searched, this is so that we can always get the definition. After that we can open the browser and input our search query into the search bar as such: Here we use the eventID 66 to simulate the press of the enter key to execute our search. If you wanted to, you could change the wait timings per your needs. Lastly, we will take a screenshot using the screencap method on our device object, and we can save that as a .png file: Here we must open the file in the write bytes mode because the screencap method returns bytes representing the image. If all went according to plan, you should have a quick script which searches for a specific word. Here it is working on my phone: A GIF to show how the definition searcher example works on my phone A GIF to show how the definition searcher example works on my phone Final thoughts Hopefully you have learned something new today, personally I never even knew this was a thing before I did some research into it. The cool thing is, that you can do anything you normal would be able to do, and more since it just simulates your own touches and actions! I hope you enjoyed the article and thank you for reading! 💖 468 9 468 9 More from ITNEXT Follow ITNEXT is a platform for IT developers & software engineers to share knowledge, connect, collaborate, learn and experience next-gen technologies. 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ChatterBot: Machine learning in Python ChatterBot ChatterBot is a machine-learning based conversational dialog engine build in Python which makes it possible to generate responses based on collections of known conversations. The language independent design of ChatterBot allows it to be trained to speak any language. Package Version Python 3.6 Django 2.0 Requirements Status Build Status Documentation Status Coverage Status Code Climate Join the chat at https://gitter.im/chatterbot/Lobby An example of typical input would be something like this: user: Good morning! How are you doing? bot: I am doing very well, thank you for asking. user: You're welcome. bot: Do you like hats? How it works An untrained instance of ChatterBot starts off with no knowledge of how to communicate. Each time a user enters a statement, the library saves the text that they entered and the text that the statement was in response to. As ChatterBot receives more input the number of responses that it can reply and the accuracy of each response in relation to the input statement increase. The program selects the closest matching response by searching for the closest matching known statement that matches the input, it then returns the most likely response to that statement based on how frequently each response is issued by the people the bot communicates with. Installation This package can be installed from PyPi by running: pip install chatterbot Basic Usage from chatterbot import ChatBot from chatterbot.trainers import ChatterBotCorpusTrainer chatbot = ChatBot('Ron Obvious') # Create a new trainer for the chatbot trainer = ChatterBotCorpusTrainer(chatbot) # Train the chatbot based on the english corpus trainer.train("chatterbot.corpus.english") # Get a response to an input statement chatbot.get_response("Hello, how are you today?") Training data ChatterBot comes with a data utility module that can be used to train chat bots. At the moment there is training data for over a dozen languages in this module. Contributions of additional training data or training data in other languages would be greatly appreciated. Take a look at the data files in the chatterbot-corpus package if you are interested in contributing. from chatterbot.trainers import ChatterBotCorpusTrainer # Create a new trainer for the chatbot trainer = ChatterBotCorpusTrainer(chatbot) # Train based on the english corpus trainer.train("chatterbot.corpus.english") # Train based on english greetings corpus trainer.train("chatterbot.corpus.english.greetings") # Train based on the english conversations corpus trainer.train("chatterbot.corpus.english.conversations") Corpus contributions are welcome! Please make a pull request. Documentation View the documentation for ChatterBot on Read the Docs. To build the documentation yourself using Sphinx, run: sphinx-build -b html docs/ build/ Examples For examples, see the examples directory in this project's git repository. There is also an example Django project using ChatterBot, as well as an example Flask project using ChatterBot. History See release notes for changes https://github.com/gunthercox/ChatterBot/releases Development pattern for contributors Create a fork of the main ChatterBot repository on GitHub. Make your changes in a branch named something different from master, e.g. create a new branch my-pull-request. Create a pull request. Please follow the Python style guide for PEP-8. Use the projects built-in automated testing. to help make sure that your contribution is free from errors. License ChatterBot is licensed under the BSD 3-clause license.

https://omics.netlify.com, Omics knowledge, API docs of R packages and Python packages, My resource for Omics learning and development content.

🪝This repository will represent my concept about react-hooks. Well based on the React docs there are 10 hooks are exist in react library. So when we have to use which hooks & knowledge about how the react-hooks actually work is important to feel the actual beauty of React.

Check out my recent Works as My portfolio: https://docs.google.com/spreadsheets/d/1IHHBulI5lDjAUng61m_v1APqUNTDAFncpXZCuSXOAA4/edit#gid=0 https://docs.google.com/spreadsheets/d/1CTKYA2X6voQ-zZNKVAuo4gxkLeQ11LdY-tFXZixMAnY/edit#gid=0 Career Objective: Looking for a challenging, responsible, and sustainable career in the field of Data Entry. My main objective is to involve myself in the Data Entry & B2B Lead Generation sector.I am optimistic I will be able to assist your company professionally through my acquired knowledge, different kinds of skills & previous job experience on Fiverr.com & Upwork.com. Experience : ▪ I have completed training about B2B Lead Generation, Data Entry, Data Management, Microsoft Excel Under Instructory Training Center. After completing these courses at present I am a Professional Data Entry Specialist on Fiverr.com & Upwork.com. I am an enthusiastic, self-learner, eager to do new critical projects through my hard & smart working mentality. ▪ I have completed different kinds of courses on Microsoft Excel, Excel Data Entry, B2B Lead Generation, Data Management. Bachelor of Science

Empower your knowledge! Documentation Hub is a dynamic, MongoDB-powered documentation platform that lets you create, manage, and share code and docs with ease. Built for clarity and collaboration, it’s your launchpad to my ideas and inspire innovation.

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I save my Documents here

my personal knowledge docs

To build a RAG AI system from development to ready production with hybrid retrieval search, cross-encoder reranking, citation enforcement and a CI-gated evaluation pipeline.

A knowledge graph organizing my vim knowledge, written in md docs.

🤖 RAG-based chatbot that extracts knowledge from PDF documents, retrieves relevant context, and generates accurate answers using LLMs.

all my knowledge docs to be stored here

docs that collects my knowledge, insights, and trials in areas of my interests

I recreated this docs using Astro Starlight to test my knowledge of the tool

a series of docs on some good backend topics and documenting my knowledge on backend

I created this game (with the help of Zustand Docs) to reinforce my knowledge of Zustand.

Deepening my understanding of Next.js through the docs and creating a portfolio with the knowledge.

To help solidify my knowledge of React, I am going through the docs step by step and documenting my process.

Using the Google web.dev docs to fill in the gaps in my knowledge of HTML, by building a simple website from the docs.

A project to test my knowledge and understanding of the CSS fundamentals from the MDN CSS fundamentals docs..

This is my preparations and docs about cryptocurrency and blockchain knowledge for Winter research program at UQ, Aus

Updating my Redux knowledge, specially Redux Toolkit, using the design of an course and the current Redux docs

I wrote my personal website using the knowledge I learned from the Angela's WebDevelopment course and mdn docs.

1️⃣ “Ask My Docs” — Personal Knowledge Assistant (FASTEST WIN) What it does Upload PDFs / text → ask questions → answers grounded in your docs. Why this slaps Classic RAG demo (everyone understands it)

A collection of documentation written in markup. These docs are meant to showcase my skills and knowledge in technical writing for various fields.

Docs I've accumulated during my studies, even if your not study for your CCNA its doesn't hurt to have general IT knowledge.

A simple mini udemy clone webapp. Exploring react lately and attempting my best to incorporate the knowledge I learned from the online courses/docs.

:mag_right: Welcome to my Git repo! Find docs, tips & skills for programming languages. Learn new things or enhance existing knowledge with clear explanations. Browse now!

Goal: Spent the last year traveling and I’d like to refresh my iOS & Android dev knowledge. https://docs.google.com/document/d/1WTr3-sTUYssvrc9VconVm1KOY7nAxyNsOkyJke4QEqM/edit