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Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

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

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📈 Analytical overview of Telegram channel Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Channel Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) in the English language segment is an active participant. Currently, the community unites 56 136 subscribers, ranking 2 280 in the Technologies & Applications category and 6 075 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 56 136 subscribers.

According to the latest data from 31 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -52 over the last 30 days and by 6 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.78%. Within the first 24 hours after publication, content typically collects 0.70% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 998 views. Within the first day, a publication typically gains 394 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
  • Thematic interests: Content is focused on key topics such as algorithm, structure, stack, javascript, programming.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data

Thanks to the high frequency of updates (latest data received on 01 September, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

56 136
Subscribers
+624 hours
+197 days
-5230 days
Posts Archive
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Python Roadmap for 2025: Complete Guide 1. Python Fundamentals 1.1 Variables, constants, and comments. 1.2 Data types: int, float, str, bool, complex. 1.3 Input and output (input(), print(), formatted strings). 1.4 Python syntax: Indentation and code structure. 2. Operators 2.1 Arithmetic: +, -, *, /, %, //, **. 2.2 Comparison: ==, !=, <, >, <=, >=. 2.3 Logical: and, or, not. 2.4 Bitwise: &, |, ^, ~, <<, >>. 2.5 Identity: is, is not. 2.6 Membership: in, not in. 3. Control Flow 3.1 Conditional statements: if, elif, else. 3.2 Loops: for, while. 3.3 Loop control: break, continue, pass. 4. Data Structures 4.1 Lists: Indexing, slicing, methods (append(), pop(), sort(), etc.). 4.2 Tuples: Immutability, packing/unpacking. 4.3 Dictionaries: Key-value pairs, methods (get(), items(), etc.). 4.4 Sets: Unique elements, set operations (union, intersection). 4.5 Strings: Immutability, methods (split(), strip(), replace()). 5. Functions 5.1 Defining functions with def. 5.2 Arguments: Positional, keyword, default, *args, **kwargs. 5.3 Anonymous functions (lambda). 5.4 Recursion. 6. Modules and Packages 6.1 Importing: import, from ... import. 6.2 Standard libraries: math, os, sys, random, datetime, time. 6.3 Installing external libraries with pip. 7. File Handling 7.1 Open and close files (open(), close()). 7.2 Read and write (read(), write(), readlines()). 7.3 Using context managers (with open(...)). 8. Object-Oriented Programming (OOP) 8.1 Classes and objects. 8.2 Methods and attributes. 8.3 Constructor (init). 8.4 Inheritance, polymorphism, encapsulation. 8.5 Special methods (str, repr, etc.). 9. Error and Exception Handling 9.1 try, except, else, finally. 9.2 Raising exceptions (raise). 9.3 Custom exceptions. 10. Comprehensions 10.1 List comprehensions. 10.2 Dictionary comprehensions. 10.3 Set comprehensions. 11. Iterators and Generators 11.1 Creating iterators using iter() and next(). 11.2 Generators with yield. 11.3 Generator expressions. 12. Decorators and Closures 12.1 Functions as first-class citizens. 12.2 Nested functions. 12.3 Closures. 12.4 Creating and applying decorators. 13. Advanced Topics 13.1 Context managers (with statement). 13.2 Multithreading and multiprocessing. 13.3 Asynchronous programming with async and await. 13.4 Python's Global Interpreter Lock (GIL). 14. Python Internals 14.1 Mutable vs immutable objects. 14.2 Memory management and garbage collection. 14.3 Python's name == "main" mechanism. 15. Libraries and Frameworks 15.1 Data Science: NumPy, Pandas, Matplotlib, Seaborn. 15.2 Web Development: Flask, Django, FastAPI. 15.3 Testing: unittest, pytest. 15.4 APIs: requests, http.client. 15.5 Automation: selenium, os. 15.6 Machine Learning: scikit-learn, TensorFlow, PyTorch. 16. Tools and Best Practices 16.1 Debugging: pdb, breakpoints. 16.2 Code style: PEP 8 guidelines. 16.3 Virtual environments: venv. 16.4 Version control: Git + GitHub. 📕 Python Interview 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀: https://topmate.io/analyst/907371 📘 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 : https://topmate.io/coding/914624 📙 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲: https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D Join What's app channel for jobs updates: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226

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Getting job offers as a developer involves several steps:👨‍💻🚀 1. Build a Strong Portfolio: Create a portfolio of projects that showcase your skills. Include personal projects, open-source contributions, or freelance work. This demonstrates your abilities to potential employers.👨‍💻 2. Enhance Your Skills: Stay updated with the latest technologies and trends in your field. Consider taking online courses, attending workshops, or earning certifications to bolster your skills.🚀 3. Network: Attend industry events, conferences, and meetups to connect with professionals in your field. Utilize social media platforms like LinkedIn to build a professional network.🔥 4. Resume and Cover Letter: Craft a tailored resume and cover letter for each job application. Highlight relevant skills and experiences that match the job requirements.📇 5. Job Search Platforms: Utilize job search websites like LinkedIn, Indeed, Glassdoor, and specialized platforms like Stack Overflow Jobs, GitHub Jobs, or AngelList for tech-related positions. 🔍 6. Company Research: Research companies you're interested in working for. Customize your application to show your genuine interest in their mission and values.🕵️‍♂️ 7. Prepare for Interviews: Be ready for technical interviews. Practice coding challenges, algorithms, and data structures. Also, be prepared to discuss your past projects and problem-solving skills.📝 8. Soft Skills: Develop your soft skills like communication, teamwork, and problem-solving. Employers often look for candidates who can work well in a team and communicate effectively.💻 9. Internships and Freelancing: Consider internships or freelancing opportunities to gain practical experience and build your resume. 🏠 10. Personal Branding: Maintain an online presence by sharing your work, insights, and thoughts on platforms like GitHub, personal blogs, or social media. This can help you get noticed by potential employers.👦 11. Referrals: Reach out to your network and ask for referrals from people you know in the industry. Employee referrals are often highly valued by companies.🌈 12. Persistence: The job search process can be challenging. Don't get discouraged by rejections. Keep applying, learning, and improving your skills.💯 13. Negotiate Offers: When you receive job offers, negotiate your salary and benefits. Research industry standards and be prepared to discuss your expectations.📉 Remember that the job search process can take time, so patience is key. By focusing on these steps and continuously improving your skills and network, you can increase your chances of receiving job offers as a developer.

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𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐉𝐨𝐛𝐬 𝐈𝐧 𝐓𝐨𝐩 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 😍 Companies Hiring:- - Capgemini - Wipro - S&P Global - Infosys - Cognizant Expected Salary:- 8 To 24 LPA Job Location:- Across India 𝐀𝐩𝐩𝐥𝐲 𝐋𝐢𝐧𝐤👇:- https://bit.ly/3ZGZMS9 Complete the registration process Select company name & role

𝐀𝐈 & 𝐌𝐋 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 𝐅𝐫𝐨𝐦 𝐓𝐨𝐩 𝐈𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐢𝐨𝐧𝐬!😍 Explore these 6 amazing courses offered by the Government of India, Google, Harvard, MIT, and IBM. Gain hands-on knowledge in Generative AI, Python, Machine Learning, and AI’s impact on business strategy—all at no cost. Plus, you’ll earn certificates to boost your resume! 𝐋𝐢𝐧𝐤 👇:-    https://bit.ly/3ZZj9rc   Enroll For FREE & Get Certified 🎓

🌟 Why Java Feels Harder Than C++ Sometimes 🌟 1. Java: Why write one line when you can write 5? Every variable needs its type, every method needs a class. C++: Write code anywhere. Procedural, OOP, or just chaos. Your call. 🚀 2. Java: Even the simplest main needs a whole public class. 🤡 C++: Need a main()? Just write it. Done. 3. Java: Checked exceptions—catch me or I'll scream. 🎭 C++: Exceptions? Handle them... or don’t. No hard feelings, bro. 4. Java: No unsigned integers. Imagine life without them. Big sad. 😔 C++: Choose your poison—int, unsigned, long long. So many options to confuse you. 5. Java: Print something? Get ready: System.out.println(). Keyboard workout. ⌨️💪 C++: cout <<. Done faster than you can say “hello world.” 6. Java: Multi-threading? Write a novel and pray the JVM approves. 📚 C++: Threading? Use libraries. Use APIs. DIY is the way. 7. Java: Generics—looks simple but screams at you later. 🤯 C++: Templates are like magic. Dark magic—you’ll debug forever, though. 8. Java: Misspell a package name? Good luck. 📦 C++: Namespaces confuse, but fewer typos. 9. Java: The JVM controls your code and life. 👁️ C++: Compile once, run anywhere—until undefined behavior strikes. 🌀 10. Java: No operators in the name. C++: The name is an operator. That's how cool it is. 😎