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Whatsapp stock market bot with Python, Twilio & MarketStack

Author: Noname6789 on 1-10-2020, 16:36, Views: 166


Whatsapp stock market bot with Python, Twilio & MarketStack
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 15 lectures (1 hour, 37 mins) | Size: 595 MB
Start building your own conversational whatsapp chatbot for stock market in less than 2 hours

What you'll learn
Students will learn about trending technologies like whatsapp chatbots with Twilio APIs using Python programming language and Flask micro web framework
Whatsapp chatbot: Learn how to build a conversational chatbot on Whatsapp platform which acts just like your personal finance assistant
Leverage Twilio APIs: Learn how to leverage the powerful Twilio APIs to send messages to the subscribed BOT users
Python programming: Learn to program the backend processing of the messages using Python and integration of Twilio and MarketStack API
Flask app running on local machine and using NGROK to create a tunnel to your app from an HTTPS public endpoint
MarketStack: Learn about the market stack API which provides stock data of 70+ stock exchanges across the world
Basic knowledge of Python and Programming
Basic knowledge of APIs
Conversational chatbots are the trend of the modern world. Virtual assistants are as relevant these days as human assistants.
Whether it's:
1. Ordering a Pizza or Ordering new clothes
2. Playing music or a new movie
3. Switching off lights or making coffee
4. Checking stock price or a new bitcoin alert
chatbots are everywhere.
In this quick and highly. focussed course, you'll kickstart your journey by creating your first Whatsapp chatbot in less than 2 hours.
By the end of this course, you'll be having a working Whatsapp conversational chatbot. You'll be able to start building your own conversational chatbots using Twilio, Python and MarketStack
Who this course is for:
Beginner and Intermediate students who already know how to code and looking to expand their skillset by adding domain knowledge.

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