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Thinkster VS assertpy

Compare Thinkster VS assertpy and see what are their differences

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Thinkster logo Thinkster

A better way to learn web development.

assertpy logo assertpy

A straightforward assertion library for Python.
  • Thinkster Landing page
    Landing page //
    2021-10-03
  • assertpy Landing page
    Landing page //
    2022-11-06

Thinkster features and specs

  • Comprehensive Learning Material
    Thinkster offers a wide range of courses and tutorials covering various topics in software development, which can help users build a well-rounded understanding of different technologies.
  • Project-based Learning
    The platform emphasizes learning by doing, offering users practical projects that reinforce theoretical knowledge and improve real-world skills.
  • Updated Content
    Thinkster regularly updates its courses to include the latest trends and technologies, ensuring that users have access to current and relevant information.
  • Community Support
    Users have access to a community of learners and instructors where they can ask questions, share insights, and collaborate on problems.

Possible disadvantages of Thinkster

  • Subscription Cost
    Access to Thinkster's premium content and some advanced courses requires a paid subscription, which might limit availability for those not willing to pay.
  • Content Depth Variation
    While some courses are very thorough, others might lack depth or comprehensive explanations, requiring users to seek additional resources.
  • Self-paced Structure
    The self-paced learning model may not be suitable for all learners, especially those who benefit from more structured timelines and instructor feedback.
  • Limited Topics Coverage
    While Thinkster covers a variety of tech topics, it may not have as wide a range of subjects compared to other broader learning platforms.

assertpy features and specs

  • Fluent API
    Assertpy offers a fluent API that makes assertions more readable and expressive, enabling developers to write assertions in a natural language style that is easy to understand.
  • Chainable Assertions
    It allows for chainable assertions, enabling multiple checks to be performed in a single line of code, thereby reducing verbosity and enhancing clarity.
  • Comprehensive Assertion Methods
    The library provides a wide range of built-in assertion methods, catering to various types of data validations, such as checking for size, type, value, and more.
  • Extensibility
    Assertpy supports extending its functionality by defining custom assertions, allowing developers to tailor it to their specific needs.
  • Pythonic
    Designed with Pythonic principles in mind, Assertpy fits seamlessly into Python projects, enabling idiomatic and consistent code style.

Possible disadvantages of assertpy

  • Learning Curve
    Developers new to the library may encounter a learning curve due to the distinct approach of using fluent and chainable assertions as opposed to traditional methods.
  • Limited by Python Version
    The library may have limitations in terms of compatibility with older versions of Python, requiring users to ensure their environment is up-to-date.
  • Performance Overhead
    The additional abstraction layer introduced by a fluent interface might introduce some performance overhead, especially in performance-critical or resource-constrained environments.
  • Less Community Support
    Compared to more established testing libraries, Assertpy might have less community support and fewer resources available for resolving issues or getting help.
  • Dependency Management
    Using a third-party library introduces additional dependencies to manage, which could complicate project maintenance and compatibility.

Analysis of assertpy

Overall verdict

  • assertpy is a well-regarded, lightweight assertion library for Python that provides a fluent, chainable API for writing readable and expressive test assertions, making it a solid choice for improving test clarity.

Why this product is good

  • Offers a fluent, chainable assertion syntax that makes tests more readable and self-documenting
  • Comprehensive built-in assertions for strings, numbers, lists, dicts, files, dates, and more
  • Produces clear, descriptive failure messages that speed up debugging
  • Lightweight with minimal dependencies and easy to integrate into existing test suites
  • Framework-agnostic, working seamlessly with pytest, unittest, and other test runners
  • Actively maintained open-source project with good documentation and community support

Recommended for

  • Python developers who want more readable and expressive test assertions
  • Teams using pytest or unittest looking to enhance assertion clarity
  • Projects that value descriptive failure messages for faster debugging
  • Developers coming from fluent assertion libraries in other languages (like AssertJ or Chai)
  • QA engineers and testers writing maintainable, self-documenting test code

Thinkster videos

How Thinkster Math Works

More videos:

  • Review - Online Math Learning during Lockdown - Thinkster Math

assertpy videos

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

Add video

Category Popularity

0-100% (relative to Thinkster and assertpy)
Education
100 100%
0% 0
Testing
0 0%
100% 100
Online Learning
100 100%
0% 0
Python
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Thinkster seems to be more popular. It has been mentiond 2 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.

Thinkster mentions (2)

  • Node js
    NodeSchool Thinkster.io Egghead.io - Learn professional JavaScript tools with Tutorial Videos & Training Learn to Code by Doing - Code School Learn to code. Source: about 4 years ago
  • Noob Questions on how to understand what .net core is ... from an old school developer
    I also use thinkster.io They have been excellent for certain training especially Forms. You are going to have to re-learn data entry, it's a curve but once you get there you will love it so much more than Access or other tools. Source: over 5 years ago

assertpy mentions (0)

We have not tracked any mentions of assertpy yet. Tracking of assertpy recommendations started around Mar 2021.

What are some alternatives?

When comparing Thinkster and assertpy, you can also consider the following products

Hackr.io - There are tons of online programming courses and tutorials, but it's never easy to find the best one. Try Hackr.io to find the best online courses submitted & voted by the programming community.

grappa - grappa is an declarative, verbose, and expressive assertion library for Python.

Ng-tutorial - Platform for AngularJS interactive tutorials. Contribute to mgechev/ng-tutorial development by creating an account on GitHub.

LiveEdu.tv - A live project-based learning platform to improve your technical job skills in Programming, Game Development, Data Science, Design, AR, VR and AI.

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

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.