Software Alternatives, Accelerators & Startups
Register | Login
TP

Think Python VS Dividend Data

Compare Think Python VS Dividend Data and see what are their differences

Calcumber
Calculate in a notebook and share โ€” from everyday math to engineering. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Think Python logo Think Python

Learning Resources

Dividend Data logo Dividend Data

Stock data in your spreadsheet, automatically.
  • Think Python Landing page
    Landing page //
    2023-09-24
  • Dividend Data
    Image date //
    2026-03-04
  • Dividend Data 2
    2 //
    2026-03-06
  • Dividend Data 3
    3 //
    2026-03-06
  • Dividend Data 4
    4 //
    2026-03-06

Dividend Data brings 30+ years of stock market data for 80,000+ tickers directly into your Google Sheets and Microsoft Excel spreadsheets โ€” no API keys, no coding, no copying and pasting.

Built for dividend & fundamental investors, it gives you instant access to dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, price history, and 100+ metrics through simple custom formulas.

Just type a formula. The data appears live.

What makes it different:

โ€ข Free tier with 2,500 monthly credits โ€” no trial expiration โ€ข 16 custom functions covering everything dividend investors need โ€ข 30+ years of historical data โ€ข Works in both Google Sheets and Microsoft Excel โ€ข Built by a dividend investor, for dividend investors

Used by fundamental investors who want institutional-grade data without the institutional price tag.

Think Python features and specs

  • Accessible for Beginners
    Think Python is written in a clear and approachable style, making it suitable for beginners with no prior programming experience. The author takes care to explain concepts thoroughly, making it easy to follow.
  • Practical Examples
    The book is filled with practical examples that demonstrate how to use Python for various applications. This approach helps readers understand real-world usage of the language.
  • Free Availability
    Think Python is openly accessible in digital format for free, making it easy for anyone to read without financial barriers, supporting open education.
  • Emphasis on Problem Solving
    The book places strong emphasis on teaching readers how to think like programmers, encouraging problem-solving and logical thinking skills.

Possible disadvantages of Think Python

  • Limited Depth
    While suitable for beginners, the book doesnโ€™t delve deeply into advanced features of Python, which might leave learners needing additional resources for more complex topics.
  • Pacing
    Some readers might find the pacing of the book too slow, particularly if they have some prior programming experience, as it aims to accommodate complete beginners.
  • Lack of Exercises
    There are fewer exercises compared to some other programming books, potentially providing less practice for readers to reinforce their learning.
  • Outdated Information
    Depending on the edition, some information may be outdated due to the fast-evolving nature of programming languages. Readers may need to verify with more recent sources.

Dividend Data features and specs

No features have been listed yet.

Analysis of Dividend Data

Overall verdict

  • Dividend Data (dividenddata.com) is a useful free resource for investors tracking UK and international dividend-paying stocks, offering solid data coverage for the price, though it lacks some of the polish and advanced analytics of premium paid platforms.

Why this product is good

  • Provides comprehensive dividend history, yield, and payment date information for a wide range of listed companies, particularly strong on UK equities
  • Free to access, making it accessible for retail investors without subscription costs
  • Includes forecast dividend data and ex-dividend date calendars, useful for planning income strategies
  • Simple, straightforward interface that is easy to navigate for basic dividend lookups
  • Aggregates data that would otherwise require checking multiple company reports or exchange filings

Recommended for

  • UK-focused income investors seeking dividend yield and payment date information
  • Retail investors building dividend income portfolios on a budget
  • Casual investors who want quick reference data without paying for premium research tools
  • People tracking ex-dividend dates to time purchases or avoid missing payments
  • Investors who want a supplementary free tool alongside other more detailed brokerage or analytics platforms

Think Python videos

+ Add

Thoughts on Think Python From a Beginner Programmer

More videos:

Dividend Data videos

No Dividend Data videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Think Python and Dividend Data)

Think Python

Dividend Data

Online Learning
100 100%
Online Learning
0% 0
Investing
0 0%
Investing
100% 100
Development
100 100%
Development
0% 0
Trading
0 0%
Trading
100% 100

User comments

Share your experience with using Think Python and Dividend Data. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Think Python seems to be more popular. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Think Python mentions (9)

  • C949 help and Jay Wengrow's Guide to Data Structures
    This course actually starts with an introduction to Python. Since you don't have access yet, you can give Think Python a whirl - https://greenteapress.com/wp/think-python/ and for a more interactive experience, I really enjoyed this one - https://scrimba.com/learn/python. Source: over 3 years ago
  • Best place to learn and practice python?
    Start with Think Python or learn x in y..both are free resources and good for basic understanding and practise. Source: over 3 years ago
  • Good places to start learning python?
    This free book taught me Python many years ago https://greenteapress.com/wp/think-python/. Source: about 4 years ago
  • Which books should I read to learn computer science with python language?
    In terms of learning the basics of Python programming, you can get the first edition of Think Python in PDF form for free. Source: over 4 years ago
  • Observations and thoughts from a long time crypto nerd
    Computer Science โ€” For understanding software development. As for a programming language to learn, I recommend Python or Javascript. Try Crash Course's Computer Science videos, the free Think Python book, and/or Part 1 of The Modern JavaScript Tutorial. Source: over 4 years ago
View more

Dividend Data mentions (0)

We have not tracked any mentions of Dividend Data yet. Tracking of Dividend Data recommendations started around Mar 2026.

What are some alternatives?

When comparing Think Python and Dividend Data, you can also consider the following products

Google's Python Class - Assorted educational materials provided by Google.

DailyStockMarketData.com - Daily stock market data in a convenient CSV

The New Boston video series - Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

FinViz - Stock screener for investors and traders, financial visualizations.

A Byte of Python - A Byte of Python is a Python programming tutorial and learning book that teaches you how to program with the Python programming language.

Main Street Data - Stock KPIs, Fundamentals, and Revenue/Expense Segmentation

Loading...