Telegram Reviews

1. Flawlessflower

   10 months ago
   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

Matplotlib Reviews

Telegram mentions (129)

• Semi-Scripted Conversational Applications

  You can serve it in any way, either as a standalone application, a Telegram bot or a web application. We will focus on the core of the conversational application and skip the delivery method for now. - Source: dev.to / about 2 months ago

• Sending Telegram Messages using Node.js and the Telegram API

  Telegram is a popular messaging app that allows users to send messages, photos, videos, and other types of media to other Telegram users. Me personally use it almost everyday as a way to communicate with family and friends, in short words I really prefer it to some more popular ones as Viber and Whatsapp. One of the great features of Telegram is that it also has an API that allows developers to interact with... - Source: dev.to / 4 months ago

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Telegram — Telegram is for everyone who wants fast, reliable messaging and calls. Business users and small teams may like the large groups, usernames, desktop apps, and powerful file-sharing options. - Source: dev.to / 5 months ago

• Top Growing Social Media Platforms in 2024 🚀

  (https://telegram.org/) Secure messaging app with over 500 million active users. Provides encrypted chats, group chats up to 200,000 people, file sharing and more. - Source: dev.to / 5 months ago

• How a data analyst built a smart habit tracker using Baserow 😊

  📢 Check out the new #MadeWithBaserow project for building habits! Baptiste Thivend has automated the process using Baserow, n8n, and Telegram. Source: 9 months ago

Matplotlib mentions (101)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 16 days ago

• TOP 10 Best Charts for Applications

  Python (with Matplotlib): A powerful library for creating detailed histograms. - Source: dev.to / 19 days ago

• 2 Minutes to JupyterLab Notebook on Docker Desktop

  Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago

• Implementing semantic image search with Amazon Titan and Supabase Vector

  Matplotlib: for displaying our image result. - Source: dev.to / 3 months ago

• Releasing The Force Of Machine Learning: A Novice’s Guide 😃

  Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 4 months ago