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Exercism VS Matplotlib

Compare Exercism VS Matplotlib and see what are their differences

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

Exercism logo Exercism

Download and solve practice problems in over 30 different languages.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Exercism Landing page
    Landing page //
    2023-06-28
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Exercism features and specs

  • Free Access
    Exercism provides free access to a wide range of coding exercises and learning resources, making it accessible to everyone regardless of their financial situation.
  • Mentorship
    Offers personalized mentorship from experienced developers who can provide feedback and guidance on your code submissions.
  • Wide Variety of Languages
    Supports numerous programming languages, which allows users to learn and practice coding in multiple languages.
  • Structured Learning Tracks
    Organizes exercises into structured tracks, guiding learners through progressively challenging problems in a logical order.
  • Community Support
    Has an active community forum where users can discuss problems, share insights, and ask for help.
  • Open Source Contributions
    Encourages contributions to the platform itself, offering an opportunity for users to give back and improve the resources available to others.
  • Focus on Clean Code
    Emphasizes writing clean, well-documented code, which is beneficial for developing best practices.

Possible disadvantages of Exercism

  • Variable Mentorship Quality
    The quality of mentorship can vary, as it depends on the availability and expertise of volunteer mentors.
  • Learning Curve
    There can be a steep learning curve for beginners who may find some exercises too challenging without sufficient initial guidance.
  • Limited Interactivity
    Exercises are primarily text-based without interactive or visual learning aids, which might be less engaging for some users.
  • Dependence on Volunteers
    The platform relies heavily on volunteer mentors, which can lead to delays in getting feedback and may affect the consistency of support.
  • Interface Complexity
    Some users find the interface and workflow somewhat complex and unintuitive, particularly for those new to the platform.
  • No Real-Time Collaboration
    Lacks real-time collaboration features, meaning users cannot code together or get instant feedback.
  • Focus on Individual Learning
    The platform predominantly focuses on individual learning rather than collaborative projects, which can be a downside for those looking to develop team-working skills.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Analysis of Exercism

Overall verdict

  • Yes, Exercism is considered good for learning and improving programming skills.

Why this product is good

  • Exercism offers free access to a wide variety of exercises in over 50 different programming languages, catering to both beginners and experienced programmers.
  • The platform provides a unique mentorship model where volunteers review submitted solutions, offering personalized feedback and guidance.
  • The exercises are well-structured, facilitating both practice and mastery of language-specific concepts and problem-solving skills.
  • Exercism encourages learning through doing, promoting an active learning environment which can be more effective compared to passive learning styles.
  • The platform allows for self-paced learning, enabling users to progress at their own speed and revisit topics as needed.

Recommended for

  • Beginner programmers seeking practical coding exercises to reinforce their learning.
  • Intermediate and advanced developers looking to hone their skills or learn new programming languages.
  • Individuals who appreciate personalized feedback and mentorship to improve their coding practices.
  • Students and educators searching for supplementary resources to support coursework or syllabus requirements.
  • Professionals aiming to practice coding interview problems and enhance their problem-solving abilities.

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Exercism videos

+ Add

Learn with Exercism.io

More videos:

  • Review - JavaScript Exercise | Learn JavaScript with Exercism | #0 Setup
  • Review - exercism.io 01 hello-world

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Exercism and Matplotlib)

Exercism

Matplotlib

Online Learning
100 100%
Online Learning
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Online Education
100 100%
Online Education
0% 0
Technical Computing
0 0%
Technical Computing
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 Exercism and Matplotlib

Exercism Reviews

LeetCode Alternatives: Top platforms for coding practice
What are LeetCode and LeetCode alternatives good for?LeetCode๐Ÿ’กInterested in leveling up your career? Apply to the Formation Fellowship today!ApplyHackerRankCodeSignalAlgoExpertCodewarsGeeksforGeeksEdabitExercismTopCoderShould you use LeetCode for advanced interview prep?Get holistic interview prep with Formation
Source: formation.dev
8 Best LeetCode Alternatives and Similar Platforms
Exercism is the alternative to LeetCode learning platform, with over 4000 activities in up to 52 popular programming languages. It is very different from other comparable programming websites in that it emphasizes solo practice and also mentor-based learning. The greatest part about this software is to have an active developer community that assists novices all around the...
Source: www.regendus.com
The 10 Most Popular Coding Challenge Websites [Updated for 2021]
Exercism is a coding challenge website that offers 3100+ challenges spanning 52 different programming languages. After picking a language that you'd like to master, you tackle the coding challenges right on your machine (Exercism has their own command line interface that you can download from GitHub).
Source: www.freecodecamp.org
Top 25 websites for coding challenge and competition [Updated for 2021]
Best qualities: Exercism starts off with language tracks that allow users to choose their preferred languages. Moreover, there are human mentors who will check your code and help you improve as you progress. This makes the platform perfect for total beginners who want to deepen their understanding of a new programming language.
Source: towardsdatascience.com

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Exercism should be more popular than Matplotlib. It has been mentiond 318 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.

Exercism mentions (318)

  • AI made me lazy. I didnโ€™t notice until it was too late.
    Exercism.org structured deliberate practice, no AI required. - Source: dev.to / 2 months ago
  • Free Python Resources
    Providing free coding exercises and mentorship, Exercism helps developers practice and improve their programming skills step by step. Their Python Track offers a series of exercises that guide learners from beginner to more advanced levels. - Source: dev.to / 6 months ago
  • Collaboration Circles for Developers (2026)
    Exercism is a code practice + mentoring platform in 74 languages. Why it can work: although it is not exclusively focused on groups of five, its mentoring and peer review model allows forming mini-circles where participants give each other mutual feedback. Limitation: it is not originally intended as a "venting circle" (My favorite), but more technical-practical. - Source: dev.to / 8 months ago
  • Cracking Blackjack with Go: A Step-by-Step Guide to Your First Move
    Keep practicing, keep coding, and most importantlyโ€”have fun with it! If you enjoyed this exercise, explore more challenges on exercism to continue building your Go skills. As always, you can find the complete code in my GitHub repo: https://github.com/RubenOAlvarado/algorithms. - Source: dev.to / 9 months ago
  • Ask HN: What book should my CS1 students read?
    (concepts/topics) : The New Turing Omnibus, 66 Excursions in Computer Science[1] Code Complete [2] Debugging The 9 Indispensable Rules of Finding Even the Most Elusive Software and Hardware Problems [3] Code: The Hidden Language of Computer Hardware and Software [4] -- backround stories on how 'computer' things came to be -------- [1] : https://www.amazon.com/New-Turing-Omnibus-Sixty-Six-Excursions/dp/0805071660... - Source: Hacker News / about 1 year ago
View more

Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 7 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing Exercism and Matplotlib, you can also consider the following products

Codecademy - Learn the technical skills you need for the job you want. As leaders in online education and learning to code, weโ€™ve taught over 45 million people using a tested curriculum and an interactive learning environment.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Treehouse - Treehouse is an award-winning online platform that teaches people how to code.

NumPy - NumPy is the fundamental package for scientific computing with Python

edX - Best Courses. Top Institutions. Learn anytime, anywhere.

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

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