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Think Python VS PyPy

Compare Think Python VS PyPy and see what are their differences

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Think Python logo Think Python

Learning Resources

PyPy logo PyPy

PyPy is a fast, compliant alternative implementation of the Python language (2.7.1).
  • Think Python Landing page
    Landing page //
    2023-09-24
  • PyPy Landing page
    Landing page //
    2023-10-15

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  • Outdated Information
    Depending on the edition, some information may be outdated due to the fast-evolving nature of programming languages.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

PyPy features and specs

  • Performance
    PyPy is known for its superior execution speed and performance, often outperforming the standard CPython interpreter for many workloads thanks to its Just-in-Time (JIT) compilation strategy.
  • Compatibility
    PyPy aims to be compatible with standard Python, so many programs and libraries that run on CPython should work on PyPy without or with minimal changes.
  • Memory Efficiency
    Due to its garbage collection mechanism, PyPy often results in lower memory usage as compared to CPython, which can be beneficial for memory-intensive applications.
  • Concurrency
    PyPy provides better support for concurrency, including potentially avoiding some of the Global Interpreter Lock (GIL) performance issues present in CPython.

Possible disadvantages of PyPy

  • Compatibility Limitations
    Although PyPy aims to be compatible with Python, not all extensions and libraries available for CPython work flawlessly with PyPy, particularly those relying on C extensions.
  • Startup Time
    PyPy has a slower startup time than CPython due to the JIT compilation overhead, which could be a downside for scripts primarily dealing with short-lived processes.
  • Larger Memory Footprint
    While PyPy can be more memory efficient in the long term, the JIT compilation process can result in a larger initial memory footprint which could affect applications with limited memory resources.
  • Platform Support
    PyPy might not support all platforms or the latest Python features immediately, potentially causing issues for users relying on cutting-edge Python developments or specific system architectures.

Think Python videos

+ Add

Thoughts on Think Python From a Beginner Programmer

More videos:

PyPy videos

+ Add

PyPy - the hero we all deserve. - Amit Ripshtos - PyCon Israel 2019

More videos:

  • Review - Using the PyPy runtime for Python
  • Review - How PyPy runs your program

Category Popularity

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Think Python

PyPy

Online Learning
100 100%
Online Learning
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Website Builder
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Website Builder
100% 100
Development
100 100%
Development
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Website Design
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Website Design
100% 100

User comments

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Social recommendations and mentions

Think Python might be a bit more popular than PyPy. We know about 9 links to it since March 2021 and only 8 links to PyPy. 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: about 2 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: about 2 years ago
  • Good places to start learning python?
    This free book taught me Python many years ago https://greenteapress.com/wp/think-python/. Source: almost 3 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 3 years ago
  • Observations and thoughts from a long time crypto nerd
    Computer Science — 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 3 years ago
View more

PyPy mentions (8)

  • Pydrofoil: Accelerating Sail-based instruction set simulators
    Gains than using either compiler alone. This uses the PyPy JIT framework to speed up a RISC-V simulator. https://pypy.org/ https://github.com/pydrofoil/pydrofoil Pydrofoil: A fast RISC-V emulator generated from the Sail model, using PyPy's JIT. - Source: Hacker News / about 2 months ago
  • One Billion Nested Loop Iterations
    "On average, PyPy is 4.4 times faster than CPython 3.7." https://pypy.org/. - Source: Hacker News / 7 months ago
  • Ask HN: Are my HPC professors right? Is Python worthless compared to C?
    If you're going the pure Python route, don't forget to try PyPy[1], an alternative JITed implementation of the language. A seriously underrated project, IMHO. Most time it speeds up execution by a factor of 2x-4x, but improvements of about two orders of magnitude are not unheard of. See for example [2]. Numeric, long-running code shoud suit PyPy optimizations well. [1] https://pypy.org/ [2]... - Source: Hacker News / 8 months ago
  • Yes, Ruby is fast, but…
    Python: My Python-foo is limited, so I only ported the last problem (a simple while loop) and ran it with PyPy. It takes a bit less of time:. - Source: dev.to / about 1 year ago
  • Python 3.12: A Game-Changer in Performance and Efficiency
    If you r looking for performance with almost fully supported C Extensions , pypy.org for you , 20x faster than cpython still. Source: over 2 years ago
View more

What are some alternatives?

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

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

PyInstaller - PyInstaller is a program that freezes (packages) Python programs into stand-alone executables...

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.

cx_Freeze - cx_Freeze is a set of scripts and modules for freezing Python scripts into executables in much the...

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.

bbfreeze - create stand-alone executables from python scripts

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