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GnuPlot VS Think Python

Compare GnuPlot VS Think Python and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

GnuPlot logo GnuPlot

Gnuplot is a portable command-line driven interactive data and function plotting utility.

Think Python logo Think Python

Learning Resources
  • GnuPlot Landing page
    Landing page //
    2022-12-13
  • Think Python Landing page
    Landing page //
    2023-09-24

GnuPlot features and specs

  • Highly Customizable
    GnuPlot offers extensive customization options for creating plots, allowing users to tweak almost every aspect of the graph, including colors, labels, line styles, and more.
  • Scriptable
    GnuPlot can be driven by scripts, making it convenient for automating complex plots and integrating with other software workflows.
  • Wide Range of Output Formats
    It supports many output formats such as PNG, PDF, SVG, and EPS, making it easy to generate graphics for different purposes like presentations, publications, and web content.
  • Cross-Platform
    GnuPlot runs on multiple operating systems, including Windows, macOS, and Linux, ensuring that it can be used in diverse computing environments.
  • Complex Plotting Capabilities
    GnuPlot supports a wide variety of plots, including 2D and 3D plots, histograms, heatmaps, and more, which caters to the needs of advanced visualization requirements.
  • Performance
    GnuPlot is efficient and can handle large datasets with ease, offering fast rendering times which is crucial when dealing with complex visualizations.
  • Free and Open Source
    Being free and open-source software, GnuPlot is accessible to everyone, and users can modify the source code to suit their needs.

Possible disadvantages of GnuPlot

  • Steep Learning Curve
    GnuPlot has a complex syntax and a steep learning curve, especially for beginners who may find it difficult to get started without substantial effort.
  • Limited GUI
    GnuPlot lacks a full-featured graphical user interface (GUI), making it less user-friendly for those who prefer point-and-click interactions over scripting.
  • Documentation
    While comprehensive, the documentation can be overwhelming and difficult to navigate for new users trying to find specific information quickly.
  • Date Handling
    Handling and formatting dates can be cumbersome in GnuPlot, requiring more manual setup compared to other dedicated plotting tools.
  • Interactive Features
    GnuPlot's interactive plotting capabilities are limited compared to other modern plotting tools that offer more dynamic and real-time interactivity.
  • Integration
    Integration with some modern programming environments and languages may not be as seamless as with other plotting libraries specifically designed for those ecosystems (e.g., Matplotlib in Python).

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.

Analysis of GnuPlot

Overall verdict

  • Gnuplot is generally considered to be a good choice for those looking for a reliable and flexible plotting tool, especially if the users need robust scriptability or work across different operating systems.

Why this product is good

  • Gnuplot is a powerful, portable, and multi-platform tool capable of producing high-quality 2D and 3D plots. It supports numerous output formats and can be used interactively or in scripts. Additionally, it has a large support community and extensive documentation, making it accessible for both beginners and advanced users.

Recommended for

  • Scientists and engineers who need to visualize data across diverse platforms.
  • Users comfortable working with command-line interfaces.
  • Individuals or teams needing to generate plots through automated scripts.
  • Those looking for a free and open-source alternative to other graphing tools.

GnuPlot videos

+ Add

Gnuplot Introduction

More videos:

  • Review - DTrace Latency Visualization in gnuplot
  • Review - Basics of Gnuplot - Make your plot look Good

Think Python videos

+ Add

Thoughts on Think Python From a Beginner Programmer

More videos:

Category Popularity

0-100% (relative to GnuPlot and Think Python)

GnuPlot

Think Python

Technical Computing
100 100%
Technical Computing
0% 0
Online Learning
0 0%
Online Learning
100% 100
Numerical Computation
100 100%
Numerical Computation
0% 0
Development
0 0%
Development
100% 100

User comments

Share your experience with using GnuPlot and Think Python. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Think Python should be more popular than GnuPlot. 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.

GnuPlot mentions (5)

  • Question about Project Management
    To some extent it extends the concept of tasks which only can be reasonably executed after the completion of other ones (though results of branches eventually may join each other) and offers an additional assisting birds' eye visual of projects. So far, I'm aware about the documentation on worg interfacing org-taskjuggler and taskjuggler, as well as a video tutorial interfacing gnuplot instead. Source: over 3 years ago
  • How do I make a transparent background on .ps or .eps file imported to groff
    Gnuplot is a program to plot diagrams. The Commands issued to use it don't change regardless if it is used in Linux/Windows/MacOS and it comes with less dependencies than a Spread sheet, or a statistics program. This is why I started to Become comfortable with it, and venture out some of its features. Here, "conditional plot" referred to "the diagram only displays a Thing/uses a pixel if the value in the table... Source: over 3 years ago
  • Drawing graphs and diagrams
    Or, does drawing diagrams refers to plotting data, but neither using matplotlib, nor gnuplot (export to .svg, .pdf, .png; pstricks, tikz to mention a few options)? Source: over 3 years ago
  • Are specific softwares avialable that are suitable for converting different diagrams, graphs and mindmaps to latex codes?
    There may the occasion you actually need the data from a publication, and want to plot them altogether with data newly collected data in one diagram in common. An overlay, though possible, can become tricky (scaling, centering, alignment, etc.) and plotting all data in a diagram generated from scratch (gnuplot/octave, matplotlib, Origin, ...) exported as an illustration in the usual formats (.pdf/.png), or... Source: over 3 years ago
  • Introducing Graphs
    Have you looked at the graphing capabilities of Octave or Gnuplot? Gnuplot in particular has a lot of options, and a GUI for those who want it. Source: over 3 years ago

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
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What are some alternatives?

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

Matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

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

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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.

GeoGebra - GeoGebra is free and multi-platform dynamic mathematics software for learning and teaching.

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.

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