python posts

Afterthoughts after to sell dall-e images on the internet.

Building stock ticker app with plotly dash

This article explores the `flipp_flyer_parser` Python script, an advanced web scraping tool for extracting promotional data from retail websites like Save-On-Foods, Walmart, and Superstore.

Here I explain what my actions when an open source library got taken down from github.

Finding out if it's possible to convert a streamlit app to dash completely with AI

Web app that uses openbb-sdk to display technical analysis graphs for a given stock

This post highlights the recent changes made to the stocks ta app, which provides users with an easy-to-use interface for conducting technical analysis on financial data. The article explains how the addition of the Donchian channel indicator and the cache_data decorator, along with other updates, have improved the app's functionality and user experience. Readers will learn how these changes enable users to quickly generate and view technical analysis graphs and export them for further analysis.

Transcript of youtube livestreams main overview using whispers

transcript for youtube livestreams

Cad Tickers is a python package that allows you to extract exchange data from the Canadian stock market websites such as CSE and TSX.

Web app that uses openbb-sdk to display technical analysis graphs for a given stock

Analyzing rbc stock trades with python

Web app that uses openbb-sdk to display technical analysis graphs for a given stock

Using Pandas and python we can analyze natural gas prices.

A stock screener is a tool that helps you find stocks that meet your criteria. In this post I will show you how I implemented a stock screener in python.

A stock screener is a tool that helps you find stocks that meet your criteria. In this post I will show you how I implemented a stock screener in python.

sec filings with python and secedgar

Generating premarket and postmarket reports with python and latex

sec filings with python and secedgar

Here's an example of a blog post explaining how to scrape HTML tables using Pandas and read_html() method, along with a section on accessing class attributes in HTML elements.

YouTube is home to millions of videos covering a vast range of topics, making it a valuable resource for learning and entertainment. However, watching lengthy videos can be time-consuming, especially when looking for specific information. This is where video summarization comes in handy. In this blog post, we explore how to automate YouTube video summarization using Python and OpenBB.

Transcribing audio with python using openai and whispers

Evaluating the new whispers asr text extraction vs current options like wit.ai

Using the beta graphql api for pokeapi to get all the pokemon data

Explaining jupyter notebooks and how to use them

A simple demonstrating how to use ffmpeg and ytp-dl to generate audio clips from youtube videos

For my introductory book on python, data science.

Describing how to use python to program.

Describing how to use python for object-oriented programming.

Describing how to use python for object-oriented programming.

For my introductory book on python, I am going to explain how to handle files.

For my introductory book on python, functional programming.

For my introductory book on python, functional programming.

AI powered tools can whittle down writing time and making writing blog posts simplier.

In this post I will show you how to use chatgpt to describe code and get keywords.

Comparing differences between chatgpt and edge gpt.

How to convert from pdf to png by using python with imagemagick.

To build a Python script that detects objects from an input image and outputs the relative size of the objects to the input image, you can use the OpenCV library and the YOLOv3 object detection algorithm..

By using the cad tickers library we can easily get links to docs from stocks.

To extract text from a PDF file, you can use the `PyPDF2` library.

By leveraging a web browser we can extract the livestream status from a upcoming video from a youtube channel.

Computer vision is the field of artificial intelligence that focuses on teaching computers to identify and process images in the same way that humans do. Computer vision algorithms allow machines to identify objects, scenes, faces, text, and more in digital images and videos.

Text-to-speech (TTS) is a technology that converts text into natural-sounding speech using natural language processing (NLP) and speech synthesis techniques.

Scrapping indeed (2021) to get job listings.

How to calculate your income tax using IPytohn

Explaining how to use yield functions in python.

Comparing differences between chatgpt and edge gpt.

A contact book is a simple but useful tool that allows users to store and manage their contacts. In this article, we will discuss how to implement a contact book using Python and SQLite.

Creating a password generator is a useful programming exercise that can teach you about random number generation, string manipulation, and graphical user interface (GUI) design. In this article, we'll go through the steps to create a password generator in Python and then show you how to create a simple GUI using the tkinter library.

Describing how to build a basic URL shortener in Python

Describing how to build a weather app in Python

Explaining the history of csharp and how it is used

Using qt in python, we can create a qt app to modify/save yaml files.

Leveraging fastapi to show stock report files

Web scrapping of the espn page for super bowl winners

Describing how to use python to program.

Explaining how to use pandas and bs4 for web scrapping.

In this post I will show you how to use the youtube api to get videos of interest in python.

In this article, we will explore the basics of using regular expressions in Rust, including syntax, matching, and capturing.

Parsing git commits with golang

How to create custom subtitles using python and ffmpeg

Recently I had to update entries based on user input, will go over what I did

How to upload videos using the youtube api

How to insert transcripts into videos using whispers

After updating a project to dash v2.5.0

Applying nlp