Master Social Media Automation with Python

Learn to set up your environment for automating WhatsApp with Python using Jupyter Notebook. Install Python, IPython, and Notebook via pip, launch and run code cells with shift-enter or alt-enter.

Set up a Jupyter notebook, install Pyewacket, connect WhatsApp web via QR code to automate sending a message by entering the phone, message, and time.

Configure python-driven whatsapp automation by setting dynamic wait times, opening and closing the whatsapp tab, and ensuring message delivery within user-defined delays.

Master how to send an image to a specific WhatsApp contact using Python and Pyewacket, including entering a phone number, selecting an image path, and sending to a WhatsApp group.

Learn to send a text message to a WhatsApp group using a Python library, including creating the group, obtaining its id, and delivering a timed message to that group.

Learn how to send an image to a WhatsApp group using a group ID, with a caption, by running Python code in a notebook to automate messaging.

Learn to set up an app password for email automation by generating a Google app password, securely using it in your development environment and scripts.

Send a text email in Python using smtplib and MIME multipart. Log in to Gmail on port 587 with TLS and compose from, to, subject, and message, with user input.

Learn to send a PDF file via email with Python by attaching it in binary mode, naming it, and sending a text message with a subject.

Master scheduling tasks in Python with the schedule library: import schedule and time, define a function, use schedule.every(...).do, and run pending with run_pending and time.sleep to automate emails.

Learn to schedule email sending in Python using the schedule module, with a send_email function, a loop, and time.sleep to repeatedly dispatch messages.

Install the python-youtube library with pip, enable the YouTube data API, and generate your API key and channel ID to automate your YouTube channel.

Use the channel id and api key to fetch channel info, obtaining a dictionary with statistics like view count, subscribers, video count, and keywords such as JavaScript, PHP, CSS, HTML.

Learn to extract specific YouTube channel data, including channel name, view count, description, subscriber count, custom URL, and video count, using channel info, snippet, and statistics.

Learn to fetch YouTube playlist information with the API, extract playlist names and total videos, access videos by ID, and loop through playlists to prepare links and descriptions for automation.

Learn to fetch video details from a playlist using API calls, extract the video ID from the resource ID, and retrieve the full video information as a dictionary.

Retrieve video details by id using the video by id API. Access the snippet for the title and description and capture view, like, and comment counts to automate channel workflows.

Build a program to export YouTube channel data—video title, view count, like count, comment count, and link—and organize it into a chart for future Facebook post automation.

Learn to fetch all video links from YouTube playlists via an API, collect total links, and export video IDs and links using pandas.

Test and refine a python workflow that uses api calls, pandas data frames, and csv export to collect video titles, view counts, likes, comments, and links, validate and save results.

Learn to build a python telegram bot by installing python-telegram-bot, setting up a virtual environment, generating a requirements.txt with pip freeze, and creating your bot with BotFather.

Create a new Telegram bot, name it, set a unique username ending with bot, and copy the API key; add a description and about text, then begin implementing bot functionality.

Learn to set up a python telegram bot, import telegram extensions, configure updater and dispatcher, and implement a start command that greets users, then run and test the bot.

Enhance your Python Telegram bot by importing command handler, configuring updater and dispatcher with your API key, creating a start function, and wiring a start command to reply messages.

Learn to enhance a telegram bot by adding a reply keyboard with Python and JavaScript buttons, resize options, and one-time keyboard behavior.

add a favor button to a python telegram bot by building an inline keyboard with links, and customize button layouts to navigate to pages or channels.

Explore how to use the Telegram bot API with Python requests, obtain an API key, construct the bot URL, and fetch updates to send and receive messages.

Learn to fetch and limit group messages via JSON, using update IDs and offsets to retrieve specific messages and text like 'start' and 'services'.

Learn to limit message retrieval from a group by constructing a base URL with offset and limit parameters and fetching a subset via a GET request.

Learn to send a text message to a group using a chat ID, identifying group IDs by a leading dash and using the text parameter in the send message call.

Learn to send multiple questions from a list to a Telegram group using a bot, scheduling each message with a loop and time.sleep to automate delivery.

Set up sending images from a URL list. Use a for loop to send multiple photos with captions, and test using internet sources before switching to local files.

Send an image from a local computer to a group using Python by opening a file in binary mode, building a photo list, and sending it with an optional caption.

Learn to send audio to a group using python: attach local audio files, adjust the port to send audio, and optionally share audio via a web link.

Learn how to send a document to a group using a Python Telegram bot, covering csv and txt files, and the required read-as-binary mode.

Explore reading Telegram messages and replying to text, using read message and send message functions, handling updates, offsets, and chat IDs.

Learn to automate reading and replying to new messages with a dynamic offset, build a send message function, and manage responses in python.

Enhance the bot's intelligence by loading a 10,000 question‑and‑answer dataset, using pandas to read a tab separated values file, mapping questions to answers via a base URL and request flow.

Learn how to deploy a Telegram bot to IBM Cloud for free, configuring actions and periodic triggers with cron to run 24/7.