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Telegram VS NumPy

Compare Telegram VS NumPy and see what are their differences

VoIPstudio
VoIPstudio is an award-winning VoIP system that offers businesses of all sizes a scalable communication solution. It’s inexpensive, easy-to-use, offers a full suite of PBX features, and is fully integrated for CRM. featured
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Telegram logo Telegram

Telegram is a messaging app with a focus on speed and security. It’s superfast, simple and free.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Telegram Landing page
    Landing page //
    2023-10-21
  • NumPy Landing page
    Landing page //
    2023-05-13

Telegram

Website
telegram.org
$ Details
Release Date
2013 January
Startup details
Country
United Arab Emirates
State
Dubai
City
Dubai
Founder(s)
Nikolai Durov
Employees
10 - 19
Edit details

NumPy

Website
numpy.org
$ Details
Release Date
-
Edit details

Telegram features and specs

  • Privacy and Security
    Telegram offers end-to-end encryption for its Secret Chats and uses its MTProto protocol to ensure secure communication.
  • Multi-Platform Support
    Telegram is available on multiple platforms, including iOS, Android, Windows, macOS, and Linux, ensuring seamless access across different devices.
  • Cloud Storage
    Users can store and access their messages, files, and media in the cloud, making it easy to retrieve conversations from any device.
  • Large Group Chats
    Telegram supports large group chats with up to 200,000 members, making it suitable for communities and public discussion groups.
  • Bots and Automation
    Developers can create custom bots to automate tasks, provide customer service, or deliver content, enhancing the utility of the platform.
  • Customization
    Users can customize the app's appearance with themes, chat backgrounds, and other visual settings to suit their preferences.
  • Free and Ad-Free
    Telegram is free to use and does not show advertisements, which enhances the user experience.
  • File Sharing
    Users can share various types of files, including videos, documents, and images, with a generous file size limit of up to 2GB.

Possible disadvantages of Telegram

  • Data Privacy Concerns
    Despite claims of security, Telegram's servers are proprietary, and the company's data practices have been questioned by privacy advocates.
  • Limited E2E Encryption
    End-to-end encryption is only available for Secret Chats and not for all conversations, leaving standard chats potentially less secure.
  • Spam and Misinformation
    The platform's large group support and open nature make it susceptible to spam and the spread of misinformation.
  • Not Fully Open Source
    While Telegram's client-side code is open source, the server-side code remains proprietary, which limits transparency.
  • Blocked in Some Countries
    Telegram is blocked or restricted in certain countries due to its use by various groups, which may limit its accessibility for some users.
  • Resource Intensive
    The app can be resource-intensive on both mobile and desktop platforms, potentially affecting performance on lower-end devices.
  • No Direct Monetization Options for Users
    Users cannot directly monetize their content or channels within Telegram, which may be a disadvantage for content creators.

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.

Telegram videos

+ Add

WhatsApp vs Telegram vs Signal: Which is the BEST?!

More videos:

  • Review - 10 Reasons Why Telegram is BETTER than WhatsApp
  • Tutorial - How to Use Telegram

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

Category Popularity

0-100% (relative to Telegram and NumPy)

Telegram

NumPy

Communication
100 100%
Communication
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Messaging
100 100%
Messaging
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Telegram and NumPy. 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 Telegram and NumPy

Telegram Reviews

  1. Flawlessflower
    the best messanger sp far for me

    Very secure, straightforward,and i must say,more relevant nowadays, at least in my opinion.

    👍 Pros:    Intuitive|Easy user interface
20 Telegram Alternatives to Chat With in 2024
If you're looking for a Telegram alternative that actually does a lot of the same things, Facebook Groups is an option. Like Telegram, Facebook lets you cultivate large groups of people ("members") and curate content for them. And like Telegram, you can broadcast to the group (either via posts or livestreaming). People can react and join the conversation.
Source: www.mightynetworks.com
The 7 Best Facebook Alternatives in 2024
Telegram features all of the main communication features of Facebook’s DM service, such as text chats, voice calls, fun stickers (you can make Telegram stickers), and media attachments. It also supports group calls with support for millions of listeners, groups, and public channels that you can post to like you would on a Facebook profile.
Source: www.lifewire.com
10 Best Secure Messaging Apps to Keep Your Conversation Private
Apart from that, Telegram is fast, reliable, and packs features like large group chats, broadcasts, file and media sharing with incomparable size limitations and more. It also features cloud syncing so that you don’t lose your chats even when you are changing your devices. You can go through our article on Telegram tips and tricks to learn more about its features.
Source: beebom.com
10 Best Telegram Alternatives in 2024
Telegram was the most used texting and calling app launched by Nikolai and Pavel and platforms like this provides end-to-end encryption to users to ensure that their data are private in all sense. Telegram has a lot of features but it has a dark side too, it lacks some features as it does not support end-to-end encryption rather it only protects those chats that are marked...
Source: www.geeksforgeeks.org
Top 10 Apps like Telegram for Android and IOs [2023]
There are numerous popular apps like Telegram, that might provide fierce rivalry. When compared to Telegram features, other apps, such as Clap Messenger, have some better capabilities that can easily exceed Telegram. So, whether you want the best instant messaging platform, Clap Messenger is the best option, or if you want an all-in-one/Super app that also offers messaging...
Source: www.clapmessenger.com

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

Social recommendations and mentions

Telegram might be a bit more popular than NumPy. We know about 136 links to it since March 2021 and only 119 links to NumPy. 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.

Telegram mentions (136)

  • Understanding the Market Dynamics of Fragment Telegram Username: An In-Depth Analysis
    Learn about Telegram’s growth and privacy features at Telegram. - Source: dev.to / 20 days ago
  • Enhancing User Experience in Fragment Telegram: A Comprehensive Analysis
    As digital identity and blockchain integration continue to evolve, Fragment Telegram sets an inspiring benchmark for other platforms looking to innovate while emphasizing ease of use and security. The discussion of these trends also intersects with broader topics in blockchain finance and development. For additional information on blockchain innovations, refer to Telegram’s official website and read about current... - Source: dev.to / 20 days ago
  • The Rise of Fragment Telegram Scams: What You Need to Know
    Digital communication platforms like Telegram have revolutionized how we stay connected, thanks to their focus on privacy and security. However, the very features that make these platforms valuable can also attract nefarious actors. One such threat is the rise of Fragment Telegram scams. In these scams, cybercriminals exploit Telegram’s groups and channels to deceive users with promises of exclusive content or... - Source: dev.to / 20 days ago
  • A hackable AI assistant using a single SQLite table and a handful of cron jobs
    *Update*: I tried writing a little Python code to read and write from a mailbox, reading worked great, but writing an email had the email disappear to some filter or spam or something somewhere. I've got to figure out where it went, but this is the warning that some people had about not trusting a messaging protocol (email in this case) when you can't control the servers. Messages can disappear. I read that... - Source: Hacker News / about 1 month ago
  • The Rise of Fragment Telegram Scams: What You Need to Know
    Instant messaging platforms like Telegram have grown in popularity because of their robust privacy and security features. However, these very strengths have attracted cybercriminals who employ Fragment Telegram scams to take advantage of unsuspecting users. This blog post details the rise of these scams, explains how they operate, and outlines strategies to recognize and counteract them. With an emphasis on... - Source: dev.to / about 2 months ago
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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

What are some alternatives?

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

Signal - Fast, simple & secure messaging. Privacy that fits in your pocket.

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

Slack - A messaging app for teams who see through the Earth!

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

WhatsApp - WhatsApp Messenger: More than 1 billion people in over 180 countries use WhatsApp to stay in touch with friends and family, anytime and anywhere.

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

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