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TV Time VS NumPy

Compare TV Time VS NumPy and see what are their differences

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TV Time logo TV Time

TVShow Time is the place to track and watch your favorite TV shows and movies

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • TV Time Landing page
    Landing page //
    2023-07-12
  • NumPy Landing page
    Landing page //
    2023-05-13

TV Time features and specs

  • Comprehensive Tracking
    TV Time offers a robust platform for tracking your television shows and movies, helping users to keep track of what they've watched and manage their entertainment habits efficiently.
  • User-Friendly Interface
    The app boasts a clean, intuitive design that makes it easy for users to navigate through their watch history, discover new content, and see personalized recommendations.
  • Community Interaction
    TV Time features a social aspect, allowing users to interact with a community of like-minded television enthusiasts. This interaction can include discussions, reviews, and reactions to favorite shows and episodes.
  • Notifications and Reminders
    The app provides notifications and reminders for upcoming episodes and new releases, ensuring users stay updated with their favorite shows.
  • Multi-Platform Availability
    TV Time supports synchronization across multiple devices, including smartphones and tablets, making it easy to track viewing habits on the go.

Possible disadvantages of TV Time

  • Freemium Model
    While TV Time is free to use, some features and content are locked behind a premium subscription, which may deter users who are looking for a completely free service.
  • Ads
    The free version of the app includes ads, which can be intrusive and disrupt the user experience.
  • Limited Movie Tracking
    TV Time is primarily focused on television shows, and its capabilities for tracking movies are somewhat limited compared to other platforms dedicated to movies.
  • Data Privacy
    As with many apps that require personal data for optimal functionality, there may be concerns about the privacy and security of user information.
  • Internet Dependency
    TV Time requires an internet connection for most of its features, which can be a limitation for users with unreliable connectivity.

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.

Analysis of TV Time

Overall verdict

  • TV Time is generally regarded as a useful and enjoyable tool for TV and movie lovers. Its capacity to track viewing progress and offer personalized recommendations makes it a valuable companion for those who consume a lot of TV content.

Why this product is good

  • TV Time (tvtime.com) offers a platform for tracking TV shows and movies, providing customized calendars, episode reminders, and a community of fellow viewers. It allows users to keep tabs on watched episodes, discover new shows, and engage in discussions. The app's user-friendly interface and rich features are appealing for avid TV enthusiasts.

Recommended for

    People who watch a lot of television or movies and want a way to better organize their viewing habits, discover new content, and interact with a community of like-minded individuals. It's particularly beneficial for individuals who appreciate having detailed records of their media consumption and want to stay updated with what to watch next.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

TV Time videos

Is This The BEST TV Companion App?!-TV Time App Review(2017)!

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

Category Popularity

0-100% (relative to TV Time and NumPy)
Movie Reviews
100 100%
0% 0
Data Science And Machine Learning
Movies
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

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

TV Time Reviews

Best Apps for Finding Where Shows and Movies Are Streaming
Using the Discover feature (called Explore on the website), you can get program recommendations based on the shows or genres you’ve already watched, or see which movies and series are trending among other users of the service. A “Discover More” section lets you filter your search by genre, status, and more. You can also see which shows or movies have been watched by your...

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

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than TV Time. While we know about 119 links to NumPy, we've tracked only 7 mentions of TV Time. 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.

TV Time mentions (7)

  • Good site to get info of upcoming series from customized list?
    I'm currently using tvtime.com to find upcoming episodes of series I'm following, but I find the site old and (maybe) inaccurate. Are there any sites out there with a modern interface and updated content? Source: about 2 years ago
  • ADHD life hacks!
    Hey about the tv shows, I've been using tvtime.com for years and it's great. You can even add favorite shows so that's what I look at if people ask me for recommendations. Plus I love going to mark each episode as watched and then go read the comments and memes people have posted. Source: over 2 years ago
  • [REQUEST] Netflix shows that are completed and must watch.
    I recommend that you check out TV Time. There's apps for your given platform. Source: over 3 years ago
  • 1,000,000 Trackers/Ads Blocked!
    Different Trackers/Ads save a different amount of bandwidth. Check out tvtime.com. This side increases your saved Bandwidth fast, while other sites like google block more Ads/Trackers with a smaller amount of saved Bandwidth. Source: almost 4 years ago
  • How to know how mann episodes left in the season
    You could either use IMDb as other people have said or a tv tracking app like TvTime which lets you track the shows you watch and it also notifies you whenever an episode is available! Source: about 4 years ago
View more

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 / 5 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 / 9 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 / 9 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 / 10 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 / 10 months ago
View more

What are some alternatives?

When comparing TV Time and NumPy, you can also consider the following products

Trakt.tv - Automatically track TV shows & movies you're watching.

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

Simkl - Simkl is a TV, anime, and movie tracker that keeps a history of all the shows and movies you watch in one, central location. It’s a mobile app, a website, Google Chrome extension to keep track of everything you watch and integrates with many TV apps

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

Showly - Showly is a free and open-source TV shows tracking application that is created with the help of TV show lovers.

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