Software Alternatives, Accelerators & Startups

Think Python VS adplist

Compare Think Python VS adplist and see what are their differences

Think Python logo Think Python

Learning Resources

adplist logo adplist

Learn and grow with help from world-class mentors for free
  • Think Python Landing page
    Landing page //
    2023-09-24
  • adplist Landing page
    Landing page //
    2023-09-23

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  • Outdated Information
    Depending on the edition, some information may be outdated due to the fast-evolving nature of programming languages.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.

adplist features and specs

  • Wide Network of Mentors
    ADPList provides access to a large and diverse network of industry professionals across various fields, enabling users to connect with experts who have firsthand knowledge and experience.
  • Free Access
    The platform offers free access to mentorship sessions, making professional guidance more accessible to individuals who may not have the financial resources to pay for career or skill development.
  • Global Reach
    With mentors from around the world, users have the opportunity to gain insights from different cultural and professional perspectives, enhancing their learning experience.
  • User-Friendly Interface
    The ADPList platform is designed to be easy to navigate, allowing users to quickly find and book sessions with mentors that match their needs and interests.

Possible disadvantages of adplist

  • Limited Availability
    Popular mentors may have limited availability, making it challenging to schedule sessions with them, especially for those in high demand.
  • Varied Quality of Mentorship
    As mentorship quality can vary depending on the mentor's experience and dedication, users might encounter inconsistencies in the advice or support they receive.
  • Time Zone Differences
    Coordinating sessions across different time zones can be challenging and may limit access to some international mentors.
  • Less Personalized Experience
    With a large pool of mentors to choose from, users may find it difficult to establish ongoing, personalized relationships with individual mentors, compared to more traditional, dedicated mentorship models.

Think Python videos

Thoughts on Think Python From a Beginner Programmer

More videos:

adplist videos

More Than A Mentor | Amazing Together | ADPList

More videos:

  • Review - ADPList Mentorship Session | Masih Heidarizadeh & Raaj Ampolu
  • Review - The Journey of @ADPList: How a Google Sheet Changed Mentorship | ft. Felix Lee | @DesignSundays

Category Popularity

0-100% (relative to Think Python and adplist)
Online Learning
100 100%
0% 0
Education
54 54%
46% 46
Development
100 100%
0% 0
Mentorship
0 0%
100% 100

User comments

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Social recommendations and mentions

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

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
View more

adplist mentions (5)

  • I have created a platform to connect Consultants and students.
    I like it! Is like an ADP List for consultants (and with a fee) Check it out: https://adplist.org/. Source: almost 3 years ago
  • someone help me out with this im freaking the hell out
    Hello! Firstly, I empathise with the freak-out. It's hard to know where to focus your efforts after education. I recommend https://adplist.org/ a lot on here. It's an amazing resource for free online mentoring with UX industry leaders, I've used it tonnes and love it so much. My personal recommendation is to get your LinkedIN and portfolio as good as you can right away and start looking for short-term volunteer... Source: almost 3 years ago
  • Bootcamp for Code Learning
    People say that you must go to a bootcamp to get mentored, but there is adplist.org where you can have mentors help you for free. Source: almost 3 years ago
  • Where to begin
    This organization is great, they can even match you up with free mentors. If you just follow them on mainstream social media platforms they are always posting relevant stuff. https://adplist.org/. Source: about 3 years ago
  • Where to find mentors?
    Was wondering if there's any platforms or communities to find a free mentor? I know there's adplist and mentoring club but couldn't seem to find someone at first glance who has successfully transformed or navigated the same challenges I have working in feature factories / B2B enterprise. Source: about 3 years ago

What are some alternatives?

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

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

Meander - Measuring tool and route planning software for mac OSX

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.

MentorCruise - Personalized mentorship experiences

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.

GrowthMentor - The only vetted startup mentorship platform targeted towards growth marketing. Get advice to grow your business faster.