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TripleTen VS assertpy

Compare TripleTen VS assertpy and see what are their differences

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

TripleTen logo TripleTen

TripleTen: online part-time coding bootcamps.

assertpy logo assertpy

A straightforward assertion library for Python.
  • TripleTen Landing page
    Landing page //
    2023-06-14

TripleTen bootcamps prepare people of all backgrounds to become career-track tech professionals.

We stand on the quality of our programs; if you don't secure a relevant position within six months of completing our post-graduation career services program, we'll refund your moneyโ€”guaranteed. We seek to level the playing field, empowering anyone with grit and follow-through to transform their life with a position in the tech industry.

TripleTen offers Software Engineering, Quality Assurance Engineering, Business Intelligence Analytics, Cyber Security Analytics, Data Science, and UX/UI bootcamps. Upfront prices range between $5,750 and 11,350.

Each bootcamp includes access to an online learning platform, projects drawn from real business cases, and comprehensive support. We employ working professionals as tutors and code reviewers. Tutors offer regular one-on-one time and hold daily office hours over video and in chat. Whether you need help with a task or just a bit of encouragement, there'll always be someone ready to help you.

Bootcamp curriculum is presented on our learning platform, and is designed to teach job-ready skills that fulfill employer demand. Projects in coding disciplines are reviewed line-by-line, with emphasis on best practices so our grads mesh well with new teams.

Students have the opportunity to complete business projects for real-world companies that weโ€™ve partnered with.

Our students graduate with professional certificates and portfolios with 6 to 15 projects to show to potential employers.

Every graduate also enjoys one-on-one career coaching, live interview practice, tech interview prep, and resume review. With an average graduate employment rate of 87%, our Career Acceleration program provides graduates with a competitive edge. Our career coaches even help with offer negotiations and help grads adapt to their first few weeks in a new job.

  • assertpy Landing page
    Landing page //
    2022-11-06

TripleTen features and specs

  • Comprehensive Curriculum
    TripleTen offers a robust and comprehensive curriculum designed to cover various key aspects of coding and software development.
  • Project-Based Learning
    The program emphasizes hands-on learning with real-world projects, enabling students to apply their knowledge in practical scenarios.
  • Flexible Learning Schedule
    The platform provides flexibility in learning schedules, which is beneficial for students who need to balance education with work or personal commitments.
  • Mentorship and Support
    Students have access to mentorship from industry professionals, providing guidance and support throughout their learning journey.
  • Job Assistance
    TripleTen offers job placement assistance to graduates, helping them transition smoothly into the tech industry.

Possible disadvantages of TripleTen

  • Cost
    The programs may be relatively expensive, which could be a barrier for some potential students.
  • Time Commitment
    The rigorous program requires a significant time commitment, which may be challenging for those with busy schedules.
  • Limited Course Offerings
    While comprehensive in what it covers, the range of courses may not be as diverse as some other educational platforms.
  • Pace
    The pace of the program may be too fast for some learners who prefer a more gradual approach to absorbing complex topics.
  • Online Learning Challenges
    As a primarily online platform, it may not suit students who thrive in in-person learning environments and could face difficulties engaging with virtual content.

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

TripleTen videos

+ Add

From Music Therapy to Software Engineer : TripleTen Coding Bootcamp Review

More videos:

  • Review - From Box Thrower to Web Developer : TripleTen Coding Bootcamp Review

assertpy videos

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Category Popularity

0-100% (relative to TripleTen and assertpy)

TripleTen

assertpy

Education
100 100%
Education
0% 0
Testing
0 0%
Testing
100% 100
Online Learning
100 100%
Online Learning
0% 0
Python
0 0%
Python
100% 100

User comments

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Social recommendations and mentions

Based on our record, TripleTen 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.

TripleTen mentions (9)

  • Is data science course worth pursuing?
    Here's a link to the program: https://tripleten.com/. Source: about 3 years ago
  • SWEs who have side hustles, what do you do?
    I tutor for Practicum. I don't think they have openings right now, but you can keep an eye out for it. Source: almost 4 years ago
  • Recommended reputable coding schools online.
    I LOVED Practicum by Yandex. I have a child too and can vouch it is structured very well to manage other responsibilities: https://practicum.yandex.com/. Source: over 4 years ago
  • Some insight to working while doing a bootcamp?
    I suggest you go for an asynchronous program like Practicum by Yandex. Their flexibility while also having deadlines and a cohort that stays together worked really well for me while I was working and taking care of a child. Source: over 4 years ago
  • Advice for an intermediate student (Fullstack Academy?)
    If you identify as a woman, Practicum by Yandex gives away full scholarships monthly though Women Who Code and they are phenomenal (I did its Data Science program and tried Web Development). Like you, I need structured and cant learn on my own but I also didn't want to commit to class time so Practicum had a nice middle ground as you learn on your own but there are deadlines. Source: over 4 years ago
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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 TripleTen and assertpy, you can also consider the following products

Lambda School - A full Computer Science education - free until you get a job

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

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.

Holberton School - High-quality software engineering education for the many

She Codes - Coding Workshops for Women (non-profit) ๐Ÿ‘ฉโ€๐Ÿ’ป

Free Code Camp - Learn to code by helping nonprofits.

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