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NumPy VS Human Resource Machine

Compare NumPy VS Human Resource Machine and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Human Resource Machine logo Human Resource Machine

Tomorrow Corporation is an independent game developer behind indie games Little Inferno and Human Resource Machine
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Human Resource Machine Landing page
    Landing page //
    2019-04-05

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Human Resource Machine features and specs

  • Educational Value
    Human Resource Machine teaches programming concepts in a fun and interactive manner, making it easier for beginners to grasp basic coding logic and algorithms.
  • Engaging Puzzles
    The game presents a variety of challenges that push players to think critically and problem-solve, which can be highly engaging for those who enjoy logical puzzles.
  • Unique Theme
    The office setting and storyline provide a unique theme for a programming game, which can be more relatable and entertaining for a broad audience.
  • Visual Programming
    The visual representation of coding through object movement and animations can help players better understand abstract programming concepts.
  • Creative Storytelling
    The narrative and quirky humor add an element of entertainment, keeping players invested in the game beyond its educational aspect.

Possible disadvantages of Human Resource Machine

  • Limited Replayability
    Once the puzzles are completed, there is limited incentive to replay the game unless aiming for optimized solutions.
  • Steep Difficulty Curve
    Some puzzles may become challenging quickly, potentially frustrating players who are new to programming concepts.
  • Complexity for Beginners
    While the game is educational, some beginners might find certain programming concepts and logic difficult to understand without prior exposure.
  • No Real Coding
    Although educational, the game uses its own pseudo-language; players do not learn specific programming languages used in real-world applications.
  • Limited Educational Scope
    The game primarily focuses on basic problem-solving and logic, which might not cover more advanced programming topics comprehensively.

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Human Resource Machine videos

Programming game reviews: Human Resource Machine

More videos:

  • Review - Human Resource Machine review in 3 minutes -- gameplay / worth a buy? (Yes, it is.)
  • Review - Human Resource Machine REVIEW - Learn Coding (Math/Programming)

Category Popularity

0-100% (relative to NumPy and Human Resource Machine)
Data Science And Machine Learning
Games
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100% 100
Data Science Tools
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Online Learning
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User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and Human Resource Machine

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Human Resource Machine Reviews

We have no reviews of Human Resource Machine yet.
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Social recommendations and mentions

Based on our record, NumPy should be more popular than Human Resource Machine. It has been mentiond 119 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.

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
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Human Resource Machine mentions (14)

  • Six times faster than C
    This is pretty much `assembly language the game`: https://tomorrowcorporation.com/humanresourcemachine It's not a useful architecture, but it teaches the thought process really well, and you end up discovering a lot of optimization naturally. - Source: Hacker News / almost 2 years ago
  • My teacher wants me to show him if Factorio can be used to teach programming, I need help with ideas!
    Other options have been given in this thread and I'd agree that for this particular situation the Tomorrow Corporation's "Human Resource Machine" is probably the best match. It's a constrained environment in a game that scales up to introduce this and more. Source: about 2 years ago
  • Ask HN: Technology/Creative books and games for my daughter (7 years)
    Not sure if 7 is old enough, I made this card "game" with my daughter when she was 10: https://punkx.org/4917/ which is not really a game but more like a puzzle, you have 54 small programs for a 4 bit made up computer (Richard Buckland's computer) and you have to interpret them in your head or with pen and paper. It's quite interesting to play with her when I change few instructions on a card. Other interesting... - Source: Hacker News / about 2 years ago
  • How would a video game based on being a sysadmin look like?
    We have programming based games like Human Resource Machine and Hacknet. Source: about 2 years ago
  • Which programming language for a kid of grade 1-6 is better?
    The game us actually called Human Resource Machine and it is excellent. I've beaten that one and its sequel. But some people might find it difficult and I would say somebody in the lower grades definitely would. Source: about 2 years ago
View more

What are some alternatives?

When comparing NumPy and Human Resource Machine, you can also consider the following products

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

Colobot Gold - Colobot Gold is modified version of the original https://alternativeto.

OpenCV - OpenCV is the world's biggest computer vision library

Robocode - Robocode is a programming game where the goal is to code a robot battle tank to compete against...

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

CodeCombat - Learn programming with a multiplayer live coding strategy game.