Python/ django - TELEGRAM CHANNEL

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Python/ django is a popular Telegram Channel with 59,572 members. There are no reviews yet for this channel.

Leverage this Telegram channel to reach a large and engaged audience interested in diverse topics such as programming, java (programming language), python (programming language), python jobs, top programming. You can subscribe to this channel by clicking the Open button below (opens in Telegram App).

Explore channel details, insights and user reviews for Python/ django channel below.

CHANNEL DESCRIPTION


Owner Description

по всем вопросам @haarrp

@itchannels_telegram - 🔥 все ит-каналы

@ai_machinelearning_big_data -ML

@ArtificialIntelligencedl -AI

@datascienceiot - 📚

@pythonlbooks

РКН: clck.ru/3FmxmM

Python/ django channel is growing at a rate of 28% and has a potential to reach 71486 people. Advertisers can reach out to the channel admin for any advertising opportunities within this channel.

HOW TO SUBSCRIBE TO Python/ django CHANNEL?


You can join Python/ django by clicking the Open button on top, which will open up the Telegram channel page in the browser or in the Mobile App. Now review the details and click on JOIN CHANNEL. If it is a private channel, an admin has to review and approve your request, otherwise you will get immediate access to the channel.

59572
Channel Members
71486
Average Post Reach
28%
Channel Growth
-1.0
Rating Index

MOST VIEWED POST


@pythonl : 🐍 Best practices working with Django models in Python https://steelkiwi.com/blog/best-practices-working-django-models-python/ Ru: https://techrocks.ru/2021/04/22/django-models-best-practices/ @pythonl
Posted on 2021-05-03 05:49:19 | Viewed 3079 times

CHANNEL PREVIEW


@pythonl : How to Best Use Try-Except in Python https://www.pythonforbeginners.com/error-handling/how-to-best-use-try-except-in-python @pythonl

Posted on 2021-05-08 06:52:20 | 479 views


@pythonl : Первая технологическая конференция Первая технологическая конференция Сбера для разработчиков, инженеров и технологического сообщества. Топ-спикеры, презентация новых устройств и сервисов, инжиниринговые и live-coding сессии в 6 параллельных стримах на бесплатной онлайн-конференции 20 мая 2021 года. Регистрируйтесь на smartdevconf.ru 20 мая Сбер впервые проведет масштабную технологическую конференцию SmartDev, чтобы рассказать о максимуме возможностей для разработчиков и всего техно-сообщества

Posted on 2021-05-08 04:33:01 | 743 views


@pythonl : Creating PDF Invoices in Python with pText https://stackabuse.com/creating-pdf-invoices-in-python-with-ptext/ @pythonl

Posted on 2021-05-07 07:18:39 | 1508 views


@pythonl : Exception Handling in Python: Writing a Robust Python Program https://www.pythonforbeginners.com/error-handling/exception-handling-in-python-increasing-robustness-of-your-python-program @pythonl

Posted on 2021-05-06 09:30:12 | 2070 views


@pythonl : Что входит в must-have умения специалиста Машинного обучения? 11 мая Дмитрий Сергеев, Senior Data Scientist в Oura, расскажет, на какие навыки обращают внимание работодатели и как их тренировать. Дмитрий поделится своим опытом и проведет обзор рынка вакансий в Data Science. Также вы познакомитесь с программой и особенностями онлайн-курса «Machine Learning. Professional», форматом обучения OTUS и сможете задать свои вопросы эксперту. Ждем тех, кто уже начал осваиваться в Data Science и хочет по

Posted on 2021-05-06 07:43:03 | 2025 views


@pythonl : Detecting Fraudulent Transactions in a Streaming App using Kafka in Python https://www.thepythoncode.com/article/detect-fraudulent-transactions-with-apache-kafka-in-python @pythonl

Posted on 2021-05-06 06:04:23 | 1954 views


@pythonl : 🔥 Практический анализ данных c Pandas, 2-е издание @machinelearning_ru

Posted on 2021-05-06 06:04:15 | 1870 views


@pythonl : Stock Sentiment Analysis Using Autoencoders https://www.nbshare.io/notebook/84089365/Stock-Sentiment-Analysis-Using-Autoencoders/ @pythonl

Posted on 2021-05-05 07:20:58 | 2305 views


@pythonl : Slicing In Python (Comprehensive Tutotial) https://likegeeks.com/slicing-in-python/ @pythonl

Posted on 2021-05-04 07:20:23 | 2686 views


@pythonl : 🐍 Best practices working with Django models in Python https://steelkiwi.com/blog/best-practices-working-django-models-python/ Ru: https://techrocks.ru/2021/04/22/django-models-best-practices/ @pythonl

Posted on 2021-05-03 05:49:19 | 3079 views


ANALYTICS


By analyzing this historical data, channel owners can identify successful content strategies, understand audience preferences, and optimize their channel for better engagement and growth. This is valuable for both organic growth and for making informed decisions about monetization strategies, such as targeted advertising.

Community Index

Community Index measures the overall health and engagement of the subscriber base. It is a composite score derived from Subscriber Base Metrics such as:

  • Total Subscribers: The raw number of subscribers provides a baseline but does not reflect engagement.
  • Subscriber Growth Rate: The rate at which new subscribers are joining (e.g., daily, weekly, monthly). A high growth rate suggests a healthy and appealing channel.
  • Churn Rate: The percentage of subscribers who leave the channel over a given period. A high churn rate indicates potential issues with content or community management.
  • Active Subscriber Percentage: The percentage of subscribers who actively interact with the channel (e.g., view messages, react to polls, participate in discussions). This is a more meaningful metric than total subscribers.

Rating Index

Rating Index is a numerical score designed to represent the channel's overall quality and appeal to subscribers. Unlike a simple subscriber count, a Rating Index incorporates various factors to provide a more nuanced assessment such as Engagement Rate, Post Frequency and Consistency, Comment Quality, Active Members Percentage, Community Sentiment Analysis etc.

Aggregated Rating

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