Computer Science and Programming
Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_science
إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام Computer Science and Programming
تُعد قناة Computer Science and Programming (@computer_science_and_programming) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 142 801 مشتركاً، محتلاً المرتبة 815 في فئة التكنولوجيات والتطبيقات والمرتبة 86 في منطقة إيطاليا.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 142 801 مشتركاً.
بحسب آخر البيانات بتاريخ 12 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -1 293، وفي آخر 24 ساعة بمقدار -25، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 5.74%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.81% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 8 196 مشاهدة. وخلال اليوم الأول يجمع عادةً 2 581 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 16.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل sellerflash, github, developer, pricing, waybienad.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Channel specialized for advanced topics of:
* Artificial intelligence,
* Machine Learning,
* Deep Learning,
* Computer Vision,
* Data Science
* Python
Admin: @otchebuch
Memes: @memes_programming
Ads: @Source_Ads,
https://telega.io/c/computer_sc...”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 13 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.
Developers use design patterns as reusable solutions to common problems. This guide demonstrates several JavaScript design patterns, including creational (factory and builder), structural (adapter and decorator), and behavioral (chain of responsibility and strategy) patterns. Each pattern is illustrated with practical code examples to aid understanding.🔗 https://blog.logrocket.com/javascript-design-patterns-guide
This post lists six essential books for engineers, emphasizing the depth and practical insights books provide compared to other mediums. Two recommended books are suitable for all experience levels: 'The Pragmatic Programmer' and Dale Carnegie's book on winning over colleagues. For senior engineers, four additional books are suggested to enhance leadership, responsibility, and decision-making skills: 'Extreme Ownership', 'The Phoenix Project', 'Software Engineering at Google', and 'Thinking in Bets'. Readers are encouraged to delve deeper into these books for a comprehensive understanding.🔗 https://swizec.com/blog/6-books-engineers-should-read/
The post guides you through building an event scheduler in Node.js that integrates with Google Calendar API. It covers setting up a Node.js project, configuring environment variables, creating an Express server, and using OAuth 2.0 for authentication. Additionally, it explains how to schedule events, add Google Meet links, and notify attendees via email.🔗 https://dev.to/arindam_1729/i-built-an-event-scheduler-in-nodejs-using-google-calendar-api-4c5b
Cybersecurity is a vital field that involves protecting individuals and their data on the internet. To start a career in cybersecurity, one must understand basic concepts, research various career paths, choose a specialized field, gain practical knowledge, and network within the community. The post provides a step-by-step guide to becoming a cybersecurity professional, including resources and additional tips to enhance learning and career progression.🔗 https://www.freecodecamp.org/news/getting-started-in-cybersecurity
Typography has evolved significantly, offering an extensive array of typefaces. Despite the abundance, eight fonts have stood out for their unique characteristics: Garamond, Bodoni, Baskerville, Times New Roman, Century Expanded, Futura, Helvetica, and Inter. Each font brings its own historical significance and design ethos, from classics like Garamond and Baskerville that improve readability, to modern fonts like Inter designed for digital interfaces. These fonts are essential tools for any designer, adaptable to various projects from traditional print to contemporary digital design.🔗 https://uxplanet.org/the-only-8-fonts-you-will-ever-need-eb4e4088cb16
Learn various useful techniques to handle Python lists effectively. Discover the power of the * operator for combining and unpacking lists, the difference between .sort() and sorted(), and advanced methods like list comprehensions, .insert(), and .extend(). Understand the distinct advantages and limitations of tuples compared to lists.🔗 https://zlliu.medium.com/12-things-i-regret-not-knowing-earlier-about-python-lists-a71dd8a435e2
This guide provides a series of CSS one-liners aimed at enhancing the appearance and readability of web content. Key tips include limiting content width, increasing text size and line height, making images responsive, and improving table readability. Additionally, the guide offers solutions for balanced heading wrapping, matching form control colors to page styles, and reducing animations based on user preferences.🔗 https://dev.to/alvaromontoro/css-one-liners-to-improve-almost-every-project-18m
Discover the versatile and surprising capabilities of vanilla JavaScript through practical examples. Learn how to find operating system details, prevent page refreshing, redirect users to new pages, validate emails, get the current URL, and detect mobile browsers. Additional features include handling disabled JavaScript, accessing module metadata, getting timezone offsets, setting the cursor to wait, and manipulating console messages with CSS.🔗 https://dev.to/anmolbaranwal/15-amazing-things-you-can-do-with-simple-javascript-g88
This guide provides an introduction to data structures and their representation in Memgraph. It explains the basics of graphs, linked lists, queues, stacks, and trees, along with examples and queries to create these data structures using Memgraph. The document also discusses tree traversal algorithms like BFS and DFS and demonstrates how to run these algorithms in Memgraph.🔗 https://memgraph.com/blog/data-structures-cheat-sheet
onClick={someFunction} VS onClick={()=>someFunction}
Using `onClick={someFunction}` directly references the function and executes it on click without creating an extra function, making it more efficient for simple handlers. In contrast, `onClick={() => someFunction()}` creates a new function on each render, ideal for scenarios where arguments need to be passed or additional operations are required before executing the function.🔗 https://dev.to/itric/onclicksomefunction-vs-onclicksomefunction-5d1i
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