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NumPy VS Google Forms

Compare NumPy VS Google Forms and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Google Forms logo Google Forms

Simple web forms from Google.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Google Forms Landing page
    Landing page //
    2022-01-31

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.

Google Forms features and specs

  • User-Friendly Interface
    Google Forms offers a simple and intuitive interface, making it easy for users of all skill levels to create forms quickly.
  • Integration with Google Sheets
    Responses collected through Google Forms can be automatically sent to Google Sheets, facilitating data analysis and record-keeping.
  • Templates
    Google Forms provides a variety of pre-built templates that can be used as a starting point, saving time on form creation.
  • Collaboration Features
    Multiple users can collaborate in real-time on the creation and editing of forms, enhancing teamwork and productivity.
  • Free to Use
    Google Forms is free to use, making it an accessible tool for individuals and organizations without budget constraints.
  • Conditional Logic
    Supports conditional logic (skipping logic), allowing the form to change based on user responses.
  • Customization Options
    Users can customize the appearance of forms with themes, colors, and images to match their brand or personal style.
  • Accessibility and Mobile-Friendly
    Forms are responsive and can be accessed on various devices, including smartphones and tablets.

Possible disadvantages of Google Forms

  • Limited Customization
    While Google Forms offers basic customization, there are limitations in comparison to paid survey tools that allow for more advanced design capabilities.
  • Functionality for Advanced Data Collection
    Google Forms may lack some advanced data collection features such as advanced branching logic and question piping that are available in premium survey tools.
  • Limited Response Types
    Although it supports a variety of question types, it may not cover all niche functionality needs, such as certain interactive question formats.
  • Privacy Concerns
    As with any Google product, there may be concerns regarding data privacy and security, especially for sensitive information.
  • No Offline Access
    Google Forms requires an internet connection to create and respond to forms, limiting its use in offline environments.
  • Email Login Required
    Respondents may need to sign in with a Google account to complete certain forms, which can be a barrier for some users.
  • Limited Reporting Tools
    The built-in reporting features are basic, and users may need to export data to other tools for more in-depth analysis.

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

Google Forms videos

Review Google Forms responses

More videos:

  • Tutorial - Google Forms Full Tutorial From Start To Finish - How To Use Google Forms
  • Review - A tour of Google Forms

Category Popularity

0-100% (relative to NumPy and Google Forms)
Data Science And Machine Learning
Surveys
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Forms And Surveys
0 0%
100% 100

User comments

Share your experience with using NumPy and Google Forms. For example, how are they different and which one is better?
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Reviews

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

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

Google Forms Reviews

  1. Ural_Taras
    Very convenient software!

    Helps my company solve many issues. We collect information from clients and employees. We conduct surveys and collect data. Very useful software. Helps form a common opinion, conduct analysis and analytics.

    🏁 Competitors: Survio
    👍 Pros:    Speed|Visual|Functionality
  2. ✓ Adrian | Mobile Forms - Digital Inspections - Enterprise Checklists - Data collection
    · Marketing at Mobile Forms ·
    A good beginners tool to start your digital transformation.

    One of our customers said: Our small mining operation needed to go from paper based process to digital forms. At first, Google forms allowed us to use this Web-based platform that lets individuals and businesses of all sizes build customizable forms to conduct surveys and generate real-time response charts.

    We saw that a small sample of our field workers quickly adopted the new way of working.

    Step 1: accomplished.

    Now unto step 2.

    How do we deploy this unto our whole team? We needed email notifications, offline response collection when without wifi on the field. Our CIO and his director of operations needed deep data and trends analysis as well. Our inspectors, when doing their audits, needed to capture approx. 25 high definition pictures, some audio notes and a video which wasn't really possible with google forms.

    So, we can 100% credit the use of google forms to our transition towards a paperless process, but as we navigated saashub.com a little more, we were able to discover a world of alternatives. We strongly suggest to start using google forms before undergoing a big implementation plan towards such enterprise level inspection tools like nspek or even cheaper solutions like prontoforms.

    I am not sure if we would start with google's solution first if we would to do this digital transformation all over, but it did allow us to discover it's limits pretty quickly.

    At some point, we needed custom fields and functions, and none of us was able to code, so the nSpek training that comes with the application definitely sets it's self apart, giving us full autonomy.

    🏁 Competitors: nSpek, ProntoForms
    👍 Pros:    No sign up cost
    👎 Cons:    Customization|Customer support|Data protection and security|No video|No pictures

10 SurveyMonkey Alternatives and Competitors in 2024
Google Forms is a user-friendly platform that allows you to create forms effortlessly. With its intuitive interface, you can select from various question types, customize the design, and add logic for a seamless customer experience throughout.
Source: clickup.com
9 Survey Monkey Alternatives for Your 2024 Market Research
Google Forms will be your choice if you’re looking for a straightforward tool to create surveys without all the fuss. It’s particularly good for anyone who needs to whip up quick polls or surveys with a clean, user-friendly interface.
12 Easy Test Maker Alternatives
Google Forms is a Google Suite tool that comes with Google Drive. Users may quickly develop quizzes and get the results instantly, thanks to its simple and easy design
Alternatives to Deferendum
SurveyMonkey and Google Forms: These survey tools are designed for collecting feedback and data, whereas Deferendum is focused on group decision-making. Deferendum allows members to not only voice their opinions but also participate in the decision-making process and vote on proposed solutions.
Source: deferendum.com
Typeform Alternatives: Tools for Surveys, Forms, and Quizzes
Overall, online reviews suggest Typeform is like a paid version of Google Forms that doesn’t provide any benefits over the free tool. Moreover, Google Forms does not have a response limit, while that is Typeforms most prominent criticism.
Source: survicate.com

Social recommendations and mentions

Based on our record, NumPy seems to be more popular. 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
View more

Google Forms mentions (0)

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

What are some alternatives?

When comparing NumPy and Google Forms, 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.

Survey Monkey - Create and publish online surveys in minutes, and view results graphically and in real time. SurveyMonkey provides free online questionnaire and survey software.

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

Typeform - Create beautiful, next-generation online forms with Typeform, the form & survey builder that makes asking questions easy & human on any device. Try it FREE!

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

Jotform - Free Online Form Builder & Form Creator