Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
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Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data
显示更多📈 Telegram 频道 Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books 的分析概览
频道 Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 56 113 名订阅者,在 技术与应用 类别中位列第 2 297,并在 印度 地区排名第 6 106 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 56 113 名订阅者。
根据 01 九月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -51,过去 24 小时变化为 -6,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 1.80%。内容发布后 24 小时内通常能获得 0.70% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 1 011 次浏览,首日通常累积 394 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 3。
- 主题关注点: 内容集中在 algorithm, structure, stack, javascript, programming 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“Everything about programming for beginners
* Python programming
* Java programming
* App development
* Machine Learning
* Data Science
Managed by: @love_data”
凭借高频更新(最新数据采集于 02 九月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。
56 113
订阅者
-624 小时
+167 天
-5130 天
帖子存档
https://topmate.io/analyst/907371
If you're a job seeker, these well structured document resources will help you to know and learn all the real time Python Interview questions with their exact answer. folks who are having 0-4+ years of experience have cracked the interview using this guide!
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Hope this helps in your job search journey... All the best!👍✌️
🔟 𝘁𝗶𝗽𝘀 𝗳𝗼𝗿 𝗻𝗲𝘄 𝗰𝗼𝗱𝗲𝗿𝘀: 🔖
1. Learn Fundamentals: Use W3Schools, FreeCodeCamp, or MDN for solid basics.
2. Watch and Code Along: Follow YouTube tutorials to code in real-time.
3. Practice Regularly: Build small projects to sharpen your skills.
4. Join Coding Communities: Engage on platforms like X, Discord, and Reddit for support.
5. Use AI Tools Wisely: Leverage tools like ChatGPT responsibly to aid learning.
6. Master Git and Version Control: Learn to manage your code effectively.
7. Stay Updated: Follow tech blogs, newsletters, and podcasts.
8. Network: Attend meetups, hackathons, and online coding events.
9. Explore Open Source: Contribute to projects to gain experience.
10.Never Stop Learning: Technology evolves—keep exploring new languages and frameworks.
𝐓𝐨𝐩 𝐌𝐍𝐂'𝐬 𝐋𝐢𝐤𝐞 𝐓𝐂𝐒, 𝐈𝐧𝐟𝐨𝐬𝐲𝐬, 𝐋𝐓𝐈𝐌𝐢𝐧𝐝𝐭𝐫𝐞𝐞, 𝐇𝐂𝐋, 𝐈𝐁𝐌, 𝐊𝐏𝐌𝐆, 𝐀𝐜𝐜𝐞𝐧𝐭𝐮𝐫𝐞 & 𝐦𝐚𝐧𝐲 𝐦𝐨𝐫𝐞 𝐡𝐢𝐫𝐢𝐧𝐠..
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𝐔𝐩𝐥𝐨𝐚𝐝 𝐘𝐨𝐮𝐫 𝐑𝐞𝐬𝐮𝐦𝐞 & 𝐀𝐩𝐩𝐥𝐲👇 :-
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Apply to the jobs that match your profile.
Note: Recruiters don't ask for money in exchange for jobs. Be aware of fake calls!
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Many people pay too much to learn Python, but my mission is to break down barriers. I have shared complete learning series to learn Python from scratch.
Here are the links to the Python series
Complete Python Topics for Data Analyst: https://t.me/sqlspecialist/548
Part-1: https://t.me/sqlspecialist/562
Part-2: https://t.me/sqlspecialist/564
Part-3: https://t.me/sqlspecialist/565
Part-4: https://t.me/sqlspecialist/566
Part-5: https://t.me/sqlspecialist/568
Part-6: https://t.me/sqlspecialist/570
Part-7: https://t.me/sqlspecialist/571
Part-8: https://t.me/sqlspecialist/572
Part-9: https://t.me/sqlspecialist/578
Part-10: https://t.me/sqlspecialist/577
Part-11: https://t.me/sqlspecialist/578
Part-12:
https://t.me/sqlspecialist/581
Part-13: https://t.me/sqlspecialist/583
Part-14: https://t.me/sqlspecialist/584
Part-15: https://t.me/sqlspecialist/585
I saw a lot of big influencers copy pasting my content after removing the credits. It's absolutely fine for me as more people are getting free education because of my content.
But I will really appreciate if you share credits for the time and efforts I put in to create such valuable content. I hope you can understand.
You can refer these amazing resources for Python Interview Preparation.
Complete SQL Topics for Data Analysts: https://t.me/sqlspecialist/523
Complete Power BI Topics for Data Analysts: https://t.me/sqlspecialist/588
I'll continue with learning series on Excel & Tableau.
Thanks to all who support our channel and share the content with proper credits. You guys are really amazing.
Hope it helps :)
Java for Everything: ☕
Java + Spring = Enterprise Applications
Java + Hibernate = Object-Relational Mapping
Java + Android = Mobile App Development
Java + Swing = Desktop GUI Applications
Java + JavaFX = Modern GUI Applications
Java + JUnit = Unit Testing
Java + Maven = Project Management
Java + Jenkins = Continuous Integration
Java + Apache Kafka = Stream Processing
Java + Apache Hadoop = Big Data Processing
Java + Microservices = Scalable Services
Best Programming Resources: https://topmate.io/coding/886839
All the best 👍👍
𝗦𝘁𝗲𝗽𝘀 𝗧𝗼 𝗣𝗿𝗲𝗽𝗮𝗿𝗲 𝗙𝗼𝗿 𝗮 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄
👉 𝗞𝗻𝗼𝘄 𝘁𝗵𝗲 𝗝𝗼𝗯: Review the job description.
👉 𝗕𝗮𝘀𝗶𝗰𝘀: Revise fundamental concepts.
👉 𝗖𝗼𝗱𝗲 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲: Solve coding problems.
👉 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀: Be ready to discuss past work.
👉 𝗠𝗼𝗰𝗸 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀: Practice with friends or online.
👉 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻: Review basics if needed.
👉 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀: Prepare some for the interviewer.
👉 𝗥𝗲𝘀𝘁: Sleep well and stay calm.
Remember, practice and confidence are the key! Good luck with your technical interview! 🌟👍
You can check these resources for Coding interview Preparation
All the best 👍👍
Here are seven popular programming languages and their benefits:
1. Python:
- Benefits: Python is known for its simplicity and readability, making it a great choice for beginners. It has a vast ecosystem of libraries and frameworks for various applications such as web development, data science, machine learning, and automation. Python's versatility and ease of use make it a popular choice for a wide range of projects.
2. JavaScript:
- Benefits: JavaScript is the language of the web, used for building interactive and dynamic websites. It is supported by all major browsers and has a large community of developers. JavaScript can also be used for server-side development (Node.js) and mobile app development (React Native). Its flexibility and wide range of applications make it a valuable language to learn.
3. Java:
- Benefits: Java is a robust, platform-independent language commonly used for building enterprise-level applications, mobile apps (Android), and large-scale systems. It has strong support for object-oriented programming principles and a rich ecosystem of libraries and tools. Java's stability, performance, and scalability make it a popular choice for building mission-critical applications.
4. C++:
- Benefits: C++ is a powerful and efficient language often used for system programming, game development, and high-performance applications. It provides low-level control over hardware and memory management while offering high-level abstractions for complex tasks. C++'s performance, versatility, and ability to work closely with hardware make it a preferred choice for performance-critical applications.
5. C#:
- Benefits: C# is a versatile language developed by Microsoft and commonly used for building Windows applications, web applications (with ASP.NET), and games (with Unity). It offers a modern syntax, strong type safety, and seamless integration with the .NET framework. C#'s ease of use, robustness, and support for various platforms make it a popular choice for developing a wide range of applications.
6. R:
- Benefits: R is a language specifically designed for statistical computing and data analysis. It has a rich set of built-in functions and packages for data manipulation, visualization, and machine learning. R's focus on data science, statistical modeling, and visualization makes it an ideal choice for researchers, analysts, and data scientists working with large datasets.
7. Swift:
- Benefits: Swift is Apple's modern programming language for developing iOS, macOS, watchOS, and tvOS applications. It offers safety features to prevent common programming errors, high performance, and interoperability with Objective-C. Swift's clean syntax, powerful features, and seamless integration with Apple's platforms make it a preferred choice for building native applications in the Apple ecosystem.
These are just a few of the many programming languages available today, each with its unique strengths and use cases.
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