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Using Python + Streamlit To Find Striking Distance Keyword Opportunities

Posted on November 18, 2020March 5, 2023 By admin

Using Python + Streamlit To Find Striking Distance Keyword Opportunities

Learn how to use a Python script + Streamlit app to identify striking distance keyword opportunities – no coding knowledge required!

Build A Morse Code App with Streamlit and Python [2022]


In this streamlit tutorial we will build a simple morse code generator app using Streamlit and Python with some audio files.

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�� Official Docs: https://www.streamlit.io/
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⏲️===TimeStamps===⏲️
0:01 Introduction & Demo
02:20 Setting Up
04:10 Receiving Input with St.Forms
07:55 Morse Code & Alphabets
10:35 Logic Behind Morse Code + Diction
15:10 Encoding to Morse Code
16:55 Adding Morse Code Audio
19:20 Playing Audio Files
25:20 Recap

If you liked the video don’t forget to leave a like �� or subscribe ❤️.
⚡ If you need any help just message me in the comments, you never know it might help someone else too. ⚡

JCharisTech

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Cache In Streamlit | Complete Streamlit Python Course | Streamlit Tutorial 42


You will learn about Streamlit in this Streamlit Python Course. You will start from a very basic level of Streamlit and then gradually we will cover all the important functions and features of Streamlit. In this Streamlit Tutorial series, you will also learn how to make real-world Streamlit Projects.

Streamlit Elements You Should Know About in 2022


Streamlit is a Data Scientist favorite when it comes to building web apps for our projects. It has many different widgets, components and functionalities within itself. Here are my 9 favorite Streamlit elements and components that I love to use.

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Use THIS Algorithm To Find KEYWORDS in Text – A Short Python Project


Here’s a great short beginner project using the RAKE algorithm to extract keywords from review text that we scraped online. Rake stands forRapid Automatic Keyword Extraction which uses the frequency of words in the text to score up key phrases.

package used: https://csurfer.github.io/rake-nltk/_build/html/index.html
my code: https://github.com/jhnwr/rake-on-reviews

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