Generate a Daily Reading List from Saved Articles

As an avid reader, you’ve probably come across articles that you wanted to read but couldn’t get to right away. With the increasing amount of content available online, it’s easy to get overwhelmed and forget about the articles you wanted to read. In this post, we’ll show you how to generate a daily reading list from saved articles using Python.

Why Generate a Daily Reading List?

Generating a daily reading list can help you stay on top of your reading and ensure that you don’t forget about important articles. Here are a few reasons why you should consider generating a daily reading list:

• Staying organized: A daily reading list helps you stay organized and ensures that you don’t forget about important articles.
• Improved focus: With a daily reading list, you can focus on the most important articles and avoid getting overwhelmed by the sheer amount of content available online.
• Increased productivity: By reading the most important articles, you can increase your productivity and stay up-to-date with the latest developments in your field.

How to Generate a Daily Reading List

To generate a daily reading list, you’ll need to follow these steps:

1. Save articles you want to read: Use a bookmarking tool or a note-taking app to save articles you want to read.
2. Store articles in a database: Use a database like SQLite to store the articles you’ve saved.
3. Generate a daily reading list: Use a Python script to generate a daily reading list from the articles you’ve saved.

Python Script to Generate a Daily Reading List

import sqlite3
import datetime

# Connect to the database
conn = sqlite3.connect('articles.db')
c = conn.cursor()

# Create a table to store articles
c.execute('''CREATE TABLE IF NOT EXISTS articles
             (title TEXT, url TEXT, dateAdded TEXT)''')

# Add articles to the database
def addArticle(title, url):
    c.execute("INSERT INTO articles VALUES (?, ?, ?)", (title, url, datetime.date.today()))
    conn.commit()

# Generate a daily reading list
def generateDailyReadingList():
    c.execute("SELECT * FROM articles WHERE dateAdded = ?", (datetime.date.today().isoformat(),))
    articles = c.fetchall()
    return articles

# Save articles to a file
def saveArticlesTo_file(articles):
    with open('daily_reading_list.txt', 'w') as f:
        for article in articles:
            f.write(f"{article[0]} - {article[1]}\n")

# Main function
def main():
    # Add articles to the database
    addArticle("Article 1", "https://www.example.com/article1")
    addArticle("Article 2", "https://www.example.com/article2")

    # Generate a daily reading list
    articles = generateDailyReadingList()

    # Save articles to a file
    saveArticlesTo_file(articles)

if __name__ == "__main__":
    main()

In this Python script, we use the SQLite database to store the articles we’ve saved. We create a table to store the articles, and then use a function to add articles to the database. We also create a function to generate a daily reading list by selecting the articles that were added on the current date. Finally, we use a function to save the daily reading list to a file.

Conclusion

Generating a daily reading list can help you stay on top of your reading and ensure that you don’t forget about important articles. By using a Python script to generate a daily reading list, you can stay organized and focused on the most important articles. Try using the script above to generate a daily reading list from your saved articles today!

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What’s Your Daily Reading Habit?

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