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NumPy VS zcal

Compare NumPy VS zcal and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

zcal logo zcal

zcal is the fastest way to schedule every meeting for Free and make it personal.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • zcal Landing page
    Landing page //
    2023-08-23

Say goodbye to cold, impersonal scheduling links. Use zcal to create beautiful, personalized booking pages that make a great first impression on your guests. It's 100% Free Forever 🔥!

If everyone agrees that scheduling links help save time, then why are they so universally unloved? Today most booking pages present nothing more than a name and a calendar, so as the person receiving the link, the process of booking a time can feel cold and transactional.

💯 Unique zcal features

  • Get instant context on the people you meet with a personal intro
  • Brand your page with a cover photo - upload your own or select from 1M+ Unsplash photos
  • Showcase yourself with a welcome video that gets people excited to meet you
  • Personalize links with your recipient's name, email, and profile picture
  • Share your link as an animated gif or formatted email text
  • Coordinate large group meetings with meeting polls (you can finally ditch Doodle!)

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.

zcal features and specs

  • Easy Scheduling
    zcal offers a straightforward and user-friendly interface for scheduling appointments, meetings, and events, which can save users time and effort in organizing their calendar.
  • Customization Options
    Users can customize their availability, meeting lengths, and buffer times, which allows for a more personalized scheduling experience.
  • Integration with Other Calendars
    zcal can integrate with other popular calendar services like Google Calendar, ensuring that users can seamlessly manage their schedules across different platforms.
  • Automated Reminders
    The platform provides automated reminders for upcoming events, ensuring that users do not miss their scheduled appointments or meetings.
  • Time Zone Support
    zcal automatically adjusts for different time zones, making it easier for users to schedule meetings with participants from different geographic locations.

Possible disadvantages of zcal

  • Subscription Cost
    Some advanced features of zcal might require a paid subscription, which could be a constraint for users looking for a completely free solution.
  • Limited Feature Set Compared to Competitors
    While zcal offers basic scheduling functionalities, it may lack some specific features and integrations that are available in more established competitors like Calendly or Doodle.
  • Learning Curve
    New users might experience a learning curve when getting started with zcal, especially if they are not familiar with digital scheduling tools.
  • Dependency on Internet Connection
    As a web-based platform, zcal requires a stable internet connection, which can be a limitation for users in areas with poor connectivity.
  • Privacy Concerns
    Users may have concerns about the data privacy practices of zcal, particularly with respect to how their scheduling and personal information is stored and used.

NumPy videos

+ Add

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

zcal videos

+ Add

Meet zcal, the FREE personal Calendly alternative

More videos:

  • Review - ZCal review - A Calendly replacement?
  • Review - The BEST FREE Online Meeting Scheduling Tool: ZCal (Calendly Alternative)

Category Popularity

0-100% (relative to NumPy and zcal)

NumPy

zcal

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Appointments and Scheduling
0 0%
Appointments and Scheduling
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Productivity
0 0%
Productivity
100% 100

User comments

Share your experience with using NumPy and zcal. 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 zcal

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.
Source: www.analyticsvidhya.com
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

zcal Reviews

I've poked around a while ago at some Calendly alternatives (specifically was lo... | Hacker News
I tried using https://cal.com for a bit but ended up just switching over to https://zcal.co and it has been great so far. All these other scheduling tools end up trying to do too much and always seem to end up a bit clunky and charge absurd amounts for it
Source: news.ycombinator.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than zcal. While we know about 119 links to NumPy, we've tracked only 6 mentions of zcal. 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

zcal mentions (6)

  • Cal.com: The Open-Source Calendly Alternative
    >ended up just switching over to https://zcal.co and it has been great so far Wait wait wait. It can sync my Google and Outlook calendars into a single scheduling service, and they're not charging me anything? What's the catch here? - Source: Hacker News / over 2 years ago
  • Cal.com: The Open-Source Calendly Alternative
    I've poked around a while ago at some Calendly alternatives (specifically was looking for something that was cheaper than Calendly with most of the basic features). I tried using cal.com for a bit but ended up just switching over to https://zcal.co. All these scheduling apps end up trying to do too much and always seem to end up a bit clunky. - Source: Hacker News / over 2 years ago
  • Cal.com: The Open-Source Calendly Alternative
    There's an even a freer alternative, not FOSS though. http://zcal.co It also allows connection to multiple calendars. - Source: Hacker News / over 2 years ago
  • App to integrate multiple calendars?
    Check out zcal.co. Reclaim.ai also works for this as well! Source: over 2 years ago
  • Feedback about game scheduling tool
    I usually just use https://zcal.co/ when I need to work out a time slot with some players. Source: over 2 years ago
View more

What are some alternatives?

When comparing NumPy and zcal, 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.

Calendly - Say goodbye to phone and email tag for finding the perfect meeting time with Calendly. It's 100% free, super easy to use and you'll love our customer service.

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

Cal.com - Cal.com (formerly Calendso) is the open source Calendly alternative.

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

TidyCal - Optimize your schedule with custom booking pages and calendar integrations

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