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      • āļ•āļąāļ”āļ„āļģāļ āļēāļĐāļēāđ„āļ—āļĒ āļ”āđ‰āļ§āļĒ PyThaiNLP API
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        • Ep.1 Your first Flask app
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        • Ep.23 Deploying Flask to a VM
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        • Ep. 25: uWSGI Introduction
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        • Ep. 28 uWSGI Decorators
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      • Create Responsive HTML Emails
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      • Learn AngularJS
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      • The CSS Handbook
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      • The CSS Handbook
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  • Series
    • āļˆāļēāļ§āļēāļŠāļ„āļĢāļīāļ›āļ•āđŒāđ€āļšāļ·āđ‰āļ­āļ‡āļ•āđ‰āļ™
      • 1: āļĢāļđāđ‰āļˆāļąāļāļāļąāļšāļˆāļēāļ§āļēāļŠāļ„āļĢāļīāļ›āļ•āđŒ
  • Articles
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      • Time Series Analysis
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      • Make Excel Faster
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        • Converts PIL Image to Numpy Array
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      • Convert Text to Speech
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      • Build a Web Scraper
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      • Scrape Websites
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        • Web Scraping Part 1
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      • Web Scraper
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      • Make Game FLASH CARD
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      • āļ•āļĢāļ§āļˆāļŦāļēāļ āļēāļžāļ‹āđ‰āļģāļ”āđ‰āļ§āļĒ Perceptual hashing
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      • Reading and Generating QR codes
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        • generate one-time password (OTP)
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      • PyQt: Building Calculator
      • List Files in a Directory
      • [Project] qID – āđ‚āļ›āļĢāđāļāļĢāļĄāđāļ•āđˆāļ‡āļĢāļđāļ›āļ‡āđˆāļēāļĒāđ† āđ€āļžāļ·āđˆāļ­āļāļēāļĢāļ­āļąāļžāļĨāļ‡āđ€āļ§āđ‡āļš
      • Python and Google Docs to Build Books
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      • Create Responsive HTML Email
      • psutil()
      • Transfer Learning for Deep Learning
      • āļ”āļķāļ‡āļ‚āđ‰āļ­āļĄāļđāļĨāļ„āļļāļ“āļ āļēāļžāļ­āļēāļāļēāļĻāļ›āļĢāļ°āđ€āļ—āļĻāđ„āļ—āļĒ
        • Image Classification
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      • Scrape Wikipedia Articles
        • Untitled
      • How Scrape Websites with Python 3
    • Finance
      • Algorithmic Trading for Beginners
      • Parse TradingView Stock
      • Creating a stock price database with MariaDB and python
      • Source Code
        • stocks-list
      • Visualizing with D3
      • Real Time Stock in Excel using Python
      • Create Stock Quote Module
      • The Magic Formula Lost Its Sparkle?
      • Stock Market Analysis
      • Stock Portfolio Analyses Part 1
      • Stock Portfolio Analyses Part 2
      • Build A Dashboard In Python
      • Stock Market Predictions with LSTM
      • Trading example
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      • DOWNLOAD FUNDAMENTALS DATA
      • Algorithmic Trading
      • numfin
      • Financial Machine Learning
      • Algorithm To Predict Stock Direction
      • Interactive Brokers API Code
      • The (Artificially) Intelligent Investor
      • Create Auto-Updating Excel of Stock Market
      • Stock Market Predictions
      • Automate Your Stock Portfolio
      • create an analytics dashboard
      • Bitcoin Price Notifications
      • Portfolio Management
    • WebApp
      • CSS
        • The Best CSS Examples
      • JavaScript
        • Memory Game
      • School Clock
      • Frontend Tutorials & Example
      • Side Menu Bar with sub-menu
      • Create Simple CPU Monitor App
      • Vue.js building a converter app
      • jQuery
        • The Best jQuery Examples
      • Image Slideshow
      • Handle Timezones
      • Text to Speech with Javascript
      • Building Blog for Your Portfolio
      • Responsive Website Layout
      • Maths Homework Generator
  • Books
    • Finance
      • Python for Finance (O'Reilly)
    • Website
      • Hugo
        • Go Bootcamp
        • Hugo in Action.
          • About this MEAP
          • Welcome
          • 1. The JAM stack with Hugo
          • 2. Live in 30 minutes
          • 3. Using Markup for content
          • 4. Content Management with Hugo
          • 5. Custom Pages and Customized Content
          • 6. Structuring web pages
          • A Appendix A.
          • B Appendix B.
          • C Appendix C.
    • Python
      • āļ āļēāļĐāļēāđ„āļžāļ˜āļ­āļ™āđ€āļšāļ·āđ‰āļ­āļ‡āļ•āđ‰āļ™
      • Python Cheatsheet
        • Python Cheatsheet
      • Beginning Python
      • IPython Cookbook
      • The Quick Python Book
        • Case study
        • Part 1. Starting out
          • 1. About Python
          • 2. Getting started
          • 3. The Quick Python overview
        • Part 2. The essentials
          • 14. Exceptions
          • 13. Reading and writing files
          • 12. Using the filesystem
          • 11. Python programs
          • 10. Modules and scoping rules
          • 9. Functions
          • 8. Control flow
          • 4. The absolute basics
          • 5. Lists, tuples, and sets
          • 6. Strings
          • 7. Dictionaries
        • Part 3. Advanced language features
          • 19. Using Python libraries
          • 18. Packages
          • 17. Data types as objects
          • 16. Regular expressions
          • 15. Classes and OOP
        • Part 4. Working with data
          • Appendix B. Exercise answers
          • Appendix A. Python’s documentation
          • 24. Exploring data
          • 23. Saving data
          • 20. Basic file wrangling
          • 21. Processing data files
          • 22. Data over the network
      • The Hitchhiker’s Guide to Python
      • A Whirlwind Tour of Python
        • 9. Defining Functions
      • Automate the Boring Stuff
        • 4. Lists
        • 5. Dictionaries
        • 12. Web Scraping
        • 13. Excel
        • 14. Google Sheets
        • 15. PDF and Word
        • 16. CSV and JSON
    • IPython
    • Pandas
      • āļˆāļąāļ”āļāļēāļĢāļ‚āđ‰āļ­āļĄāļđāļĨāļ”āđ‰āļ§āļĒ pandas āđ€āļšāļ·āđ‰āļ­āļ‡āļ•āđ‰āļ™
      • Pandas Tutorial
  • Link Center
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    • Help and Documentation
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