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Plotly VS Invent With Python

Compare Plotly VS Invent With Python and see what are their differences

Modelence
Create production-ready applications with zero code featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Plotly logo Plotly

Low-Code Data Apps

Invent With Python logo Invent With Python

Learn to program Python for free
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Invent With Python Landing page
    Landing page //
    2022-10-05

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Invent With Python features and specs

  • Beginner-Friendly
    Invent With Python offers a gentle introduction to programming for beginners, using engaging and straightforward examples that make learning fun and approachable.
  • Free Resources
    The website provides free access to its content, including complete books, which removes financial barriers for learners and educators looking for quality programming materials.
  • Hands-On Projects
    The site emphasizes learning by doing, with numerous hands-on projects and exercises that help learners apply concepts in practical scenarios.
  • Step-by-Step Instructions
    Each project and concept is broken down into clear, step-by-step instructions, making it easier for learners to follow along and understand complex ideas.
  • Wide Range of Topics
    The site covers a diverse array of programming topics, from basic syntax to more advanced concepts, catering to a broad audience with varying levels of experience.

Possible disadvantages of Invent With Python

  • Limited Advanced Content
    While great for beginners, the website may not offer enough depth or advanced content for more experienced programmers looking to deepen their knowledge.
  • Python-Focused
    The resources are primarily focused on Python, which might not be as useful for learners who want to explore other programming languages or languages more commonly used in certain industries.
  • Self-Paced Learning Challenges
    Self-paced learning requires a high level of self-motivation and discipline, which can be challenging for some learners who might benefit from more structured environments or instructor-led courses.
  • Lack of Interactive Features
    The website's content is predominantly in book format, which may lack the interactive elements and immediate feedback found in other online learning platforms that support coding sandboxes or quizzes.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Analysis of Invent With Python

Overall verdict

  • Invent With Python is a highly recommended resource for beginners who want to learn Python effectively through practical exercises and easy-to-follow instructions.

Why this product is good

  • Invent With Python is widely regarded as a good resource because it provides clear, beginner-friendly tutorials and projects tailored to those new to programming. The materials are structured in a way that makes learning Python engaging and fun, focusing on hands-on projects that reinforce concepts. The website is created by Al Sweigart, a well-known author in the programming community, whose books are valued for their clarity and practicality.

Recommended for

  • Beginners in programming
  • Individuals interested in learning Python
  • Hobbyists looking to build practical projects
  • Students needing a supplementary learning resource
  • Educators seeking teaching materials for Python

Plotly videos

+ Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Invent With Python videos

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Category Popularity

0-100% (relative to Plotly and Invent With Python)

Plotly

Invent With Python

Data Visualization
100 100%
Data Visualization
0% 0
Education
0 0%
Education
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Game Development
0 0%
Game Development
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and Invent With Python

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

Invent With Python Reviews

We have no reviews of Invent With Python yet.
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Social recommendations and mentions

Based on our record, Invent With Python should be more popular than Plotly. It has been mentiond 141 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.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
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Invent With Python mentions (141)

  • Free Python Resources
    Created by Al Sweigart, author of Automate the Boring Stuff with Python, Invent with Python aims to make programming accessible, approachable, and fun, using Python as a powerful and beginner-friendly language. - Source: dev.to / 6 months ago
  • Courses/Resources to prepare a 12 year old for the future of Coding/AI.
    Not courses, but Al Sweigart's "Invent with Python" are excellent. (The two games books and code cracking are excellent to start with.) Https://inventwithpython.com/. Source: over 2 years ago
  • Books for a young person to learn how to code with Raspberry Pi
    Check /u/alsweigart' s books on Automate the Boring Stuff with Python and on Invent your own Computer Games with Python. Source: almost 3 years ago
  • 2,000 free sign ups available for the "Automate the Boring Stuff with Python" online course. (July 2023)
    This Udemy course covers roughly the same content as the 1st edition book (the book has a little bit more, but all the basics are covered in the online course), which you can read for free online at https://inventwithpython.com. Source: about 3 years ago
  • What is a good way for non-creatives to express creativity in a way that feels comfortable to them?
    I also consider computer programming to be very creative. You may wish to learn the Python language. Python is a great starting language and very practical. There's some excellent free books here https://inventwithpython.com/ His book Automate the Boring Stuff with Python is very practical with real world uses. Source: about 3 years ago
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What are some alternatives?

When comparing Plotly and Invent With Python, you can also consider the following products

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Scratch - Scratch is the programming language & online community where young people create stories, games, & animations.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

One Month Python - Learn to build Django apps in just one month.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

CodeCombat - Learn programming with a multiplayer live coding strategy game.

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