UK virtual numbers that forward to any phone, with recording, voicemail-to-email and prepaid billing. Local, 07 mobile, 0800 and 03 lines from £4.99/mo.
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Which is more popular?
Telegram might be a bit more popular than
NumPy.
We know about 139 links to it since March 2021
and only 122 links to NumPy.
social mentions
122 vs 139
Data Science And Machine Learning popularity
100% vs 0%
alternatives listed
189 vs 240+
Base details
Website, pricing, platforms and company facts side by side.
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
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.
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
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.
Analysis
An editorial look at what each product does well and who it suits.
NumPyTelegram
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.
Overall verdict
Telegram is generally considered a good messaging platform, especially for users who prioritize privacy and need advanced features for group communications. However, it's important to assess personal needs and privacy concerns when choosing a messaging app.
Why this product is good
Telegram is a popular messaging app known for its strong emphasis on privacy and security, featuring end-to-end encryption for secret chats. It offers a wide range of functionalities including large group chats, media sharing, bots for automation, and customization options through themes and stickers. Additionally, it is cloud-based, allowing for seamless syncing across multiple devices.
Recommended for
Individuals looking for enhanced privacy features
Users who participate in large group chats
Developers and tech enthusiasts interested in using bots
People who want cross-device syncing
Those who appreciate customization options for their messaging experience
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...
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...
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...
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...
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...
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...
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages
Familiarity with Python as a language is assumed; if you need a quick...
- Source: dev.to
/
about 1 year ago
AI starts with math and coding. You don’t need a PhD—just high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI,...
- Source: dev.to
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over 1 year ago
Anyway, copying and reproducing is a great way to learn. It also train the mind to decompose every applications in small pieces. The same could have been done for Briar, SimpleX or Telegram applications, all of them are open-source and...
- Source: dev.to
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5 months ago
In fact, as of today, Anthropic officially shipped this as Claude Code Channels — a plugin-based feature that lets you push messages from Telegram or Discord into a running Claude Code session on your machine. Your session processes the...
- Source: dev.to
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8 months ago
Trading Bot in C# — Part 2— Notifications
Nowadays, messaging apps are ubiquitous. It’s quite possible that at least one message from such a service just buzzed in your pocket a moment ago. So why not to send a message to a chat group where your friends or customers can act on...
- Source: dev.to
/
over 1 year ago
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
Figure Eight
