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 55 784 名订阅者,在 技术与应用 类别中位列第 2 357,并在 印度 地区排名第 6 042 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 55 784 名订阅者。
根据 03 十一月, 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 -209,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 2.11%。内容发布后 24 小时内通常能获得 0.56% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 1 177 次浏览,首日通常累积 313 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 2。
- 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 04 十一月, 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。
55 784
订阅者
-624 小时
-97 天
-20930 天
帖子存档
Here's a good list of cheat sheets for programmers (all free):
Data Science Cheatsheet
https://github.com/aaronwangy/Data-Science-Cheatsheet
SQL Cheatsheet
sqltutorial.org/sql-cheat-sheet
t.me/sqlspecialist/827
https://www.sqltutorial.org/wp-content/uploads/2016/04/SQL-cheat-sheet.pdf
Java Programming Cheatsheet
https://introcs.cs.princeton.edu/java/11cheatsheet/
Javascript Cheatsheet
quickref.me/javascript.html
t.me/javascript_courses/532
Data Analytics Cheatsheets
https://dataanalytics.beehiiv.com/p/data
Python Cheat sheet
quickref.me/python.html
https://t.me/pythondevelopersindia/314
GIT and Machine Learning Cheatsheet
https://t.me/datasciencefun/714
HTML Cheatsheet
https://web.stanford.edu/group/csp/cs21/htmlcheatsheet.pdf
htmlcheatsheet.com
CSS Cheatsheet
htmlcheatsheet.com/css
jQuery Cheatsheet
t.me/webdevelopmentbook/90
Data Visualization
t.me/datasciencefun/698
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4. Day 4: Study control flow structures like if statements, loops (for, while), and switch statements.
5. Day 5: Learn about data structures such as arrays and ArrayLists for handling collections of data.
6. Day 6: Explore more advanced data structures like HashMaps and Sets.
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7. Day 7: Understand methods and functions in Java, including method parameters and return values.
8. Day 8: Learn about method overloading and overriding, as well as access modifiers.
9. Day 9: Practice creating and using methods in your Java programs.
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10. Day 10: Study exception handling to deal with runtime errors.
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13. Day 13: Learn about Java's built-in libraries, such as the Collections framework and the java.util package.
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Master C programming in 30 days with free resources
Week 1: Basics
1. Days 1-3: Learn the basics of C syntax, data types, and variables.
2. Days 4-7: Study control structures like loops (for, while) and conditional statements (if, switch).
Week 2: Functions and Arrays
3. Days 8-10: Understand functions, how to create them, and pass parameters.
4. Days 11-14: Dive into arrays and how to manipulate them.
Week 3: Pointers and Memory Management
5. Days 15-17: Learn about pointers and their role in C programming.
6. Days 18-21: Study memory management, dynamic memory allocation, and deallocation (malloc, free).
Week 4: File Handling and Advanced Topics
7. Days 22-24: Explore file handling and I/O operations in C.
8. Days 25-28: Learn about more advanced topics like structures, unions, and advanced data structures.
9. Days 29-30: Practice and review what you've learned. Work on small projects to apply your knowledge.
Throughout the 30 days, make sure to:
- Code every day to reinforce your learning.
- Use online resources, tutorials, and textbooks.
- Join C programming communities and forums for help and discussions.
- Solve coding challenges and exercises to test your skills (e.g., HackerRank, LeetCode).
- Document your progress and make notes.
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Introduction to C Programming
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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:
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• 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
