Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
前往频道在 Telegram
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
Free Stock Marketing & Finance Resources 👇👇
https://chat.whatsapp.com/F4q9qpeJSmu7XD8ctqnIhr
(Only for Indian Users)
Free Books:
C Programming
https://books.goalkicker.com/CBook/
Linux
https://books.goalkicker.com/LinuxBook/
Algorithms Book
https://books.goalkicker.com/AlgorithmsBook/
Android Notes
https://books.goalkicker.com/AndroidBook/
C#
https://books.goalkicker.com/CSharpBook/
Hi Everyone 👋, I have brought you Great Opportunity Today
𝐋𝐞𝐚𝐫𝐧 𝐂𝐨𝐝𝐢𝐧𝐠 𝐅𝐫𝐨𝐦 𝐒𝐜𝐫𝐚𝐭𝐜𝐡😍 | Get Placed In Top Tech Companies
8 Days Of Demo Classes By Industry Experts
Enhance your career with industry-relevant skills in:
* Data Analytics/Data Science & AI
* Cybersecurity
* Full Stack Development
Eligibility: BE/BTech / BCA / BSc / MCA
🌟 Trusted by 7000+ Students
🤝 450+ Hiring Partners
💼 Avg. Rs. 7.2 LPA
🚀 41 LPA Highest Package
𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰 👇:-
https://bit.ly/3AQRTRN
🎯 Don’t miss out! Limited seats are available. 🌟
Master DSA in 160 days
👇👇
https://gfgcdn.com/tu/TX8/
This is a very good course by Geekforgeeks, designed for freshers to help them crack coding interviews.
The best part about such courses is it helps you build consistency and discipline—two key habits that not only make DSA easier but also set you up for long-term success in your career.
Like if you need similar FREE resources in the channel
ENJOY LEARNING 👍👍
𝐅𝐫𝐞𝐞 𝐎𝐧𝐥𝐢𝐧𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬 : 𝐁𝐮𝐢𝐥𝐝 𝐘𝐨𝐮𝐫 𝐂𝐚𝐫𝐞𝐞𝐫 𝐢𝐧 𝐀𝐈 & 𝐌𝐋😍
Join us to explore the roadmap to becoming a successful AI & ML engineer!
🌟 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮’𝐥𝐥 𝐆𝐚𝐢𝐧:-
- Insights into AI & ML career paths.
- Expert guidance to kickstart your journey.
Eligibility:- Students, Freshers, and Working Professionals.
📅 Date: 20th November 2024
⏰ Time: 7:00 PM IST
🎯 𝐋𝐢𝐦𝐢𝐭𝐞𝐝 𝐒𝐞𝐚𝐭𝐬! 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐟𝐨𝐫 𝐅𝐑𝐄𝐄👇:-
https://bit.ly/3AOP9oc
Start your AI & ML journey today! 🚀
Software development is complex, and the fancy names don't help.
Hashing vs. Encryption vs. Encoding
𝗛𝗮𝘀𝗵𝗶𝗻𝗴
This is a one-way process used for data integrity verification.
When you hash data, you get a unique string representing the original data.
It's a one-way street; once you hash something, you can't get the original data back from the hash.
While multiple values can theoretically yield the same hash, well-crafted cryptographic hash functions make such collisions incredibly rare and nearly impossible to compute.
This property makes it perfect for verifying if someone altered the data.
If even one-bit changes in the original data, the hash changes dramatically.
𝗘𝗻𝗰𝗿𝘆𝗽𝘁𝗶𝗼𝗻
This is the real deal when it comes to data security.
It uses algorithms and keys to transform readable data (plaintext) into an unreadable format (ciphertext).
Only those with the correct key can unlock (decrypt) the data and read it.
This process is reversible, unlike hashing.
Encryption is critical for protecting sensitive data from unauthorized access.
𝗘𝗻𝗰𝗼𝗱𝗶𝗻𝗴
This is all about data representation.
It converts data from one format to another, making it easier to interpret and display.
Common formats:
• Base64
• UTF-8
• ASCII
Encoding does NOT provide security! It's for data transmission and storage convenience.
One common use of hashing is for secure password storage.
When you create an account or set a password, the system hashes and stores the password in the database.
During login, the system hashes the provided password and compares it to the stored hash without revealing the password.
How can you stand out as a software engineer?
Learn the skills that others avoid:
• Learn unit testing.
• Learn CI/CD pipelines.
• Learn automation tools.
• Learn performance tuning.
• Learn security best practices.
• Learn effective branching strategies.
• Learn cloud infrastructure management.
Most fall short here.
Best Group for Freshers/ College Students 👇👇
t.me/freshersgrp
Here are 50 Python interview questions for 2024:
1. What is Python?
2. What are Python’s key features?
3. What is the difference between Python 2 and Python 3?
4. Explain Python’s dynamic typing.
5. What are Python’s built-in data types?
6. What is the difference between a list and a tuple in Python?
7. What are Python decorators?
8. What is a Python generator? How does it differ from a normal function?
9. Explain the Global Interpreter Lock (GIL) in Python.
10. How does Python handle memory management?
11. What is the difference between shallow copy and deep copy in Python?
12. What is Python's lambda function?
13. What is the difference between “is” and “==” in Python?
14. How do you handle exceptions in Python?
15. What are Python's modules and packages?
16. Explain Python’s “with” statement.
17. What is Python's init.py file used for?
18. How is Python's pass statement used?
19. What is Python’s *args and **kwargs?
20. What are Python’s list comprehensions?
21. What is Python’s garbage collection mechanism?
22. Explain Python’s
@staticmethod, @classmethod, and instance methods.
23. What are Python’s sets, and how do they differ from lists?
24. How do you implement multithreading in Python?
25. What is the difference between multithreading and multiprocessing in Python?
26. What is Python’s dir() function used for?
27. How is Python’s zip() function used?
28. What are Python's data structures like dictionaries, sets, and tuples?
29. What is Python’s enumerate() function?
30. Explain Python’s scope resolution (LEGB) rule.
31. What is Python’s filter(), map(), and reduce()?
32. What is the difference between Python’s deepcopy and copy()?
33. What is the use of Python’s yield statement?
34. How do you work with files in Python?
35. What is Python’s collections module?
36. Explain Python’s context manager and with statement.
37. What is Python’s sys module used for?
38. What is the purpose of Python’s itertools module?
39. What are Python’s metaclasses?
40. Explain Python’s super() function.
41. How do you use Python’s regular expressions module (re)?
42. What is Python’s random module used for?
43. Explain Python’s virtual environment (venv).
44. What are Python’s iterators and iterables?
45. What is Python’s isinstance() function?
46. How do you test Python code?
47. What are Python’s comprehensions (list, set, dictionary)?
48. Explain the use of Python’s json module.
49. What is Python’s time module used for?
50. Explain Python’s logging module.
Here you can find essential Python Interview Resources👇
https://topmate.io/analyst/907371
Like this post for more resources like this 👍♥️
Hope it helps :)🔥 𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐀𝐥𝐞𝐫𝐭 🔥
Many Of You Looking To Start Career In Data Analytics/Data Science
To Provide You FREE Career guidance ,We are conducting FREE Online MasterClasss😍
Join Our FREE Online Masterclass By Top Industry Experts
Roadmap To Become A Successful Data Scientist In Just 3 Months
𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐅𝐨𝐫 𝐅𝐑𝐄𝐄 👇:-
https://bit.ly/3CwTXyX
(Limited Slots ..HurryUp🏃♂️ )
𝐃𝐚𝐭𝐞 & 𝐓𝐢𝐦𝐞:- November 16, 2024, at 7 PM
Dont miss this great opportunity 🤗
𝗧𝗼𝗽 𝟭𝟭 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗶𝗻 2025 🧑💻:
1. Java
2. JavaScript
3. Python
4. C++
5. Swift
6. Golang (Go)
7. Kotlin
8. Rust
9. TypeScript
10. PHP
11. Ruby
Don't Miss This Great Opportunity 💥
𝐅𝐑𝐄𝐄 𝐎𝐧𝐥𝐢𝐧𝐞 𝐖𝐞𝐛𝐢𝐧𝐚𝐫 𝐎𝐧 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 😍
Roadmap To Start a Successful Analytics Career
Know The Upcoming trends shaping the future of business analytics.
Eligibility :- Students ,Graduates & Working Professionals
𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐅𝐨𝐫 𝐅𝐑𝐄𝐄 👇:-
https://bit.ly/4fIjiEr
(Limited Slots ..HurryUp🏃♂️ )
𝐃𝐚𝐭𝐞 & 𝐓𝐢𝐦𝐞:- November 15, 2024, at 7 PM
If I were to start Computer Science in 2024,
- Harvard - Stanford
- MIT - IBM - Telegram
- Microsoft - Google
❯ CS50 from Harvard
http://cs50.harvard.edu/x/2023/certificate/
❯ C/C++
http://ocw.mit.edu/courses/6-s096-effective-programming-in-c-and-c-january-iap-2014/
❯ Python
http://cs50.harvard.edu/python/2022/
https://t.me/dsabooks
❯ SQL
http://online.stanford.edu/courses/soe-ydatabases0005-databases-relational-databases-and-sql
https://t.me/sqlanalyst
❯ DSA
http://techdevguide.withgoogle.com/paths/data-structures-and-algorithms/
https://t.me/crackingthecodinginterview/290
❯ Java
http://learn.microsoft.com/shows/java-for-beginners/
https://t.me/Java_Programming_Notes
❯ JavaScript
http://learn.microsoft.com/training/paths/web-development-101/
https://t.me/javascript_courses
❯ TypeScript
http://learn.microsoft.com/training/paths/build-javascript-applications-typescript/
❯ C#
http://learn.microsoft.com/users/dotnet/collections/yz26f8y64n7k07
❯ Mathematics (incl. Statistics)
ocw.mit.edu/search/?d=Mathematics&s=department_course_numbers.sort_coursenum
❯ Data Science
cognitiveclass.ai/courses/data-science-101
https://t.me/datasciencefun/1141
❯ Machine Learning
http://developers.google.com/machine-learning/crash-course
❯ Deep Learning
introtodeeplearning.com
t.me/machinelearning_deeplearning/
❯ Full Stack Web (HTML/CSS)
pll.harvard.edu/course/cs50s-web-programming-python-and-javascript/2023-05
t.me/webdevcoursefree/594
❯ OS, Networking
ocw.mit.edu/courses/6-033-computer-system-engineering-spring-2018/
❯ Compiler Design
online.stanford.edu/courses/soe-ycscs1-compilers
Please give us credits while sharing: -> https://t.me/free4unow_backup
ENJOY LEARNING 👍👍
🚀 BITCOIN OVER 75.000$ !
In the last 3 days my subscribers have made over $20.000$ with my help !
We are now showing how to make money trading with Lisa for free in our channel!
Our subscriber on average earns 3.000$ on full passive just by trading with Lisa.
We have now opened free access to our VIP channel, only 100 people will get in for free, time is limited!
JOIN THE CHANNEL AND TRADE WITH LISA
https://t.me/+mo6goWxONzI4MThh
https://t.me/+mo6goWxONzI4MThh
https://t.me/+mo6goWxONzI4MThh
𝐅𝐑𝐄𝐄 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬 𝐎𝐧 𝐋𝐚𝐭𝐞𝐬𝐭 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬😍
- AI/ML
- Data Analytics
- Business Analytics
- Data Science
- Fullstack
- UI/UX
- Devops
🚀 3 Steps to Build Future-Proof Your IT Career!
𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰 👇:-
https://bit.ly/3YJPgJv
(Limited Slots ..HurryUp🏃♂️ )
𝐃𝐚𝐭𝐞 & 𝐓𝐢𝐦𝐞:- November 13, 2024, at 7 PM
AI/ML (Daily Schedule) 👨🏻💻
Morning:
- 9:00 AM - 10:30 AM: ML Algorithms Practice
- 10:30 AM - 11:00 AM: Break
- 11:00 AM - 12:30 PM: AI/ML Theory Study
Lunch:
- 12:30 PM - 1:30 PM: Lunch and Rest
Afternoon:
- 1:30 PM - 3:00 PM: Project Development
- 3:00 PM - 3:30 PM: Break
- 3:30 PM - 5:00 PM: Model Training/Testing
Evening:
- 5:00 PM - 6:00 PM: Review and Debug
- 6:00 PM - 7:00 PM: Dinner and Rest
Late Evening:
- 7:00 PM - 8:00 PM: Research and Reading
- 8:00 PM - 9:00 PM: Reflect and Plan
Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624
ENJOY LEARNING 👍👍
Essential Tools & Programming Languages for Software Developers
👉 Integrated Development Environments (IDEs):
- Visual Studio Code: A lightweight but powerful source code editor that supports various programming languages and extensions.
- IntelliJ IDEA: A popular IDE for Java development, also supporting other languages through plugins.
- Eclipse: Another widely used IDE for Java, with extensive plugin support for other languages.
👉 Version Control Systems:
- Git: A distributed version control system that allows developers to track changes in their codebase, collaborate with others, and manage project history. GitHub, GitLab, and Bitbucket are popular platforms that use Git.
👉 Programming Languages:
- JavaScript: Essential for web development, with frameworks like React, Angular, and Vue.js for front-end development and Node.js for server-side programming.
- Python: Known for its simplicity and versatility, used in web development (Django, Flask), data science (NumPy, Pandas), and automation.
- Java: Widely used for building enterprise-scale applications, Android app development, and backend systems.
- C#: A language developed by Microsoft, primarily used for building Windows applications and games using the Unity engine.
- C++: Known for its performance, used in system/software development, game development, and applications requiring real-time processing.
- Ruby: Known for its simplicity and productivity, often used in web development with the Ruby on Rails framework.
👉 Web Development Frameworks:
- React: A JavaScript library for building user interfaces, particularly single-page applications.
- Angular: A TypeScript-based framework for building dynamic web applications.
- Django: A high-level Python web framework that encourages rapid development and clean, pragmatic design.
- Spring: A comprehensive framework for Java that provides infrastructure support for developing Java applications.
👉 Database Management Systems:
- MySQL: An open-source relational database management system.
- PostgreSQL: An open-source object-relational database system with a strong emphasis on extensibility and standards compliance.
- MongoDB: A NoSQL database that uses a flexible, JSON-like format for storing data.
👉 Containerization and Orchestration:
- Docker: A platform that allows developers to package applications into containers, ensuring consistency across multiple environments.
- Kubernetes: An open-source system for automating deployment, scaling, and management of containerized applications.
👉 Cloud Platforms:
- Amazon Web Services (AWS): A comprehensive cloud platform offering a wide range of services, including computing power, storage, and databases.
- Microsoft Azure: A cloud computing service created by Microsoft for building, testing, deploying, and managing applications.
- Google Cloud Platform (GCP): A suite of cloud computing services provided by Google.
👉 CI/CD Tools:
- Jenkins: An open-source automation server that helps automate the parts of software development related to building, testing, and deploying.
- Travis CI: A continuous integration service used to build and test software projects hosted on GitHub.
👉 Project Management and Collaboration:
- Jira: A tool developed by Atlassian for bug tracking, issue tracking, and project management.
- Trello: A visual tool for organizing tasks and projects into boards.
Programming & Data Analytics Resources: https://t.me/free4unow_backup/796
Best Programming Resources: https://topmate.io/coding/886839
Join @free4unow_backup for more free courses
Like for more ❤️
ENJOY LEARNING👍👍
𝐇𝐞𝐥𝐥𝐨 𝐄𝐯𝐞𝐫𝐲𝐨𝐧𝐞👋,
I’m excited to share an incredible opportunity with you!
Join our 𝐅𝐑𝐄𝐄 𝐎𝐧𝐥𝐢𝐧𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬 𝐨𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 😍 and explore the pathway to becoming a successful Data Scientist.
𝐄𝐱𝐜𝐥𝐮𝐬𝐢𝐯𝐞 𝐎𝐟𝐟𝐞𝐫 :- Attendees will receive free bonuses valued at INR 5,000!🤗
Eligibility :- Students,Freshers & Working Professionals
𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰 👇:-
https://bit.ly/4feAJwh
Note: Limited slots are available—register soon!
𝐃𝐚𝐭𝐞 & 𝐓𝐢𝐦𝐞:- November 9, 2024, at 7 PM
Don’t miss out on this valuable learning experience!🏃♂️
