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 55 775 名订阅者,在 技术与应用 类别中位列第 2 361,并在 印度 地区排名第 6 054 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 55 775 名订阅者。
根据 04 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 -212,过去 24 小时变化为 -17,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 2.08%。内容发布后 24 小时内通常能获得 0.57% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 1 163 次浏览,首日通常累积 317 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 05 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。
55 775
订阅者
-1724 小时
-227 天
-21230 天
帖子存档
🔴 How to MASTER a programming language using ChatGPT: 📌
1. Can you provide some tips and best practices for writing clean and efficient code in [lang]?
2. What are some commonly asked interview questions about [lang]?
3. What are the advanced topics to learn in [lang]? Explain them to me with code examples.
4. Give me some practice questions along with solutions for [concept] in [lang].
5. What are some common mistakes that people make in [lang]?
6. Can you provide some tips and best practices for writing clean and efficient code in [lang]?
7. How can I optimize the performance of my code in [lang]?
8. What are some coding exercises or mini-projects I can do regularly to reinforce my understanding and application of [lang] concepts?
9. Are there any specific tools or frameworks that are commonly used in [lang]? How can I learn and utilize them effectively?
10. What are the debugging techniques and tools available in [lang] to help troubleshoot and fix code issues?
11. Are there any coding conventions or style guidelines that I should follow when writing code in [lang]?
12. How can I effectively collaborate with other developers in [lang] on a project?
13. What are some common data structures and algorithms that I should be familiar with in [lang]?
How to Create Resume using ChatGPT 👇👇
https://t.me/free4unow_backup/687
Master DSA 👇👇
https://t.me/dsabooks/156
Before diving into the 30-day learning plan for DSA, it is essential to have a few prerequisites covered to ensure you can follow the plan effectively:
### Prerequisites:
1. Basic Programming Knowledge:
- You should be familiar with at least one programming language (such as Python, Java, C++, or JavaScript).
- Understand basic syntax, data types, and control structures (loops, conditionals, functions).
2. Problem-Solving Mindset:
- Be comfortable with solving basic problems on platforms like LeetCode, HackerRank, or CodeSignal.
- Understand how to break down a problem into smaller, manageable parts.
3. Familiarity with Basic Concepts:
- Basic understanding of time and space complexity.
- Familiarity with simple algorithms and how they work (e.g., sorting algorithms like bubble sort or insertion sort).
### Suggested Preparatory Steps:
1. Language Proficiency:
- Python: Understand lists, dictionaries, sets, and basic input/output operations.
- Java: Understand arrays, ArrayList, HashMap, basic file I/O, and exception handling.
- C++: Understand vectors, maps, strings, basic I/O operations, and pointers.
2. Basic Algorithmic Concepts:
- Time Complexity: Learn Big O notation and how to analyze the time complexity of basic operations.
- Sorting Algorithms: Learn at least one simple sorting algorithm (e.g., bubble sort or selection sort).
3. Mathematical Foundations:
- Basic understanding of mathematical concepts like logarithms, exponentiation, and basic probability/statistics.
4. Basic Data Structures:
- Arrays and Strings: Be comfortable manipulating arrays and strings.
- Linked Lists: Understand the concept of linked lists and basic operations on them.
- Stacks and Queues: Understand what stacks and queues are and their basic operations.
5. Online Courses and Resources:
- Consider taking a basic course on data structures and algorithms if you’re entirely new to the topic. Courses on platforms like Udacity, or freeCodeCamp can be beneficial.
- Familiarize yourself with online coding platforms (LeetCode, HackerRank) and solve a few easy problems to get comfortable with the interface and problem -solving environment.
Best Programming Resources: https://topmate.io/coding/898340
ENJOY LEARNING 👍👍
How many Bitcoins are there in total?
👇👇
https://t.me/Bitcoin_Crypto_Web/198
GIT COMMANDS CHEAT SHEET
Famous programming languages and their frameworks
1. Python:
Frameworks:
Django
Flask
Pyramid
Tornado
2. JavaScript:
Frameworks (Front-End):
React
Angular
Vue.js
Ember.js
Frameworks (Back-End):
Node.js (Runtime)
Express.js
Nest.js
Meteor
3. Java:
Frameworks:
Spring Framework
Hibernate
Apache Struts
Play Framework
4. Ruby:
Frameworks:
Ruby on Rails (Rails)
Sinatra
Hanami
5. PHP:
Frameworks:
Laravel
Symfony
CodeIgniter
Yii
Zend Framework
6. C#:
Frameworks:
.NET Framework
ASP.NET
ASP.NET Core
7. Go (Golang):
Frameworks:
Gin
Echo
Revel
8. Rust:
Frameworks:
Rocket
Actix
Warp
9. Swift:
Frameworks (iOS/macOS):
SwiftUI
UIKit
Cocoa Touch
10. Kotlin:
- Frameworks (Android):
- Android Jetpack
- Ktor
11. TypeScript:
- Frameworks (Front-End):
- Angular
- Vue.js (with TypeScript)
- React (with TypeScript)
12. Scala:
- Frameworks:
- Play Framework
- Akka
13. Perl:
- Frameworks:
- Dancer
- Catalyst
14. Lua:
- Frameworks:
- OpenResty (for web development)
15. Dart:
- Frameworks:
- Flutter (for mobile app development)
16. R:
- Frameworks (for data science and statistics):
- Shiny
- ggplot2
17. Julia:
- Frameworks (for scientific computing):
- Pluto.jl
- Genie.jl
18. MATLAB:
- Frameworks (for scientific and engineering applications):
- Simulink
19. COBOL:
- Frameworks:
- COBOL-IT
20. Erlang:
- Frameworks:
- Phoenix (for web applications)
21. Groovy:
- Frameworks:
- Grails (for web applications)
How to Learn Java in 2024
1. Set Clear Goals:
- Define your learning objectives. Do you want to build web applications, mobile apps, or work on enterprise-level software?
2. Choose a Structured Learning Path:
- Follow a structured learning path that covers the fundamentals of Java, object-oriented programming principles, and essential libraries.
3. Start with the Basics:
- Begin with the core concepts of Java, such as variables, data types, operators, and control flow statements.
4. Master Object-Oriented Programming:
- Learn about classes, objects, inheritance, polymorphism, and encapsulation.
5. Explore Java Libraries:
- Familiarize yourself with commonly used Java libraries, such as those for input/output, networking, and data structures.
6. Practice Regularly:
- Write code regularly to reinforce your understanding and identify areas where you need more practice.
7. Leverage Online Resources:
- Utilize online courses, tutorials, and documentation to supplement your learning.
8. Join a Coding Community:
- Engage with online coding communities and forums to ask questions, share knowledge, and collaborate on projects.
9. Build Projects:
- Create simple projects to apply your skills and gain practical experience.
10. Stay Updated with Java Releases:
- Keep up with the latest Java releases and updates to ensure your knowledge remains current.
11. Explore Frameworks and Tools:
- Learn about popular Java frameworks and tools, such as Spring Boot, Maven, and IntelliJ IDEA.
12. Contribute to Open Source Projects:
- Contribute to open source Java projects to gain real-world experience and showcase your skills.
13. Seek Feedback and Mentoring:
- Seek feedback from experienced Java developers and consider mentorship opportunities to accelerate your learning.
14. Prepare for Certifications:
- Consider pursuing Java certifications, such as the Oracle Certified Java Programmer (OCJP), to validate your skills.
15. Network with Java Developers:
- Attend Java meetups, conferences, and online events to connect with other Java developers and learn from their experiences.
Best Programming Resources: https://topmate.io/coding/898340
Java Programming Resources: https://t.me/Java_Programming_Notes
ENJOY LEARNING 👍👍
Repost from N/a
Advantages of being SINGLE
1. You can sleep well.
2. You can save time and money.
3. No worries about how you look.
4. No missed calls in the midnight.
5. No need to recharge more than twice a day.
6. You can talk to all boys/girls.
7. You can eat well.
8. No sc0ldings from parents/guardians.
9. You can eat in any restaurant.
10. You can visit anybody.
11. Can pick any call, any time without being questioned.
12. Don't worry about missed calls.
13. You can do whatever you want.
_Operating System RoadMap
|
|-- Kernel
| |-- Memory Management
| | |-- Paging
| | |-- Segmentation
| | |-- Virtual Memory
| |
| |-- Process Management
| | |-- Process Scheduling
| | |-- Inter-Process Communication (IPC)
| | |-- Threads
| |
| |-- File System
| | |-- File I/O
| | |-- Directory Structure
| | |-- File Permissions
| |
| |-- Device Drivers
| | |-- Communication with Hardware
| | |-- Input/Output (I/O)
| |
| |-- System Calls
| |-- Interface to Kernel Functionality
| |-- Examples: open(), read(), write(), etc.
|
|-- Memory Management
| |-- RAM
| | |-- Stack
| | |-- Heap
| | |-- Data Segment
| | |-- Code Segment
| |
| |-- Cache
| | |-- L1, L2, L3 Caches
| |
| |-- Virtual Memory
| |-- Page Table
| |-- Page Replacement Algorithms
| |-- Swapping
|
|-- File System
| |-- File Organization
| |-- File Allocation Table (FAT)
| |-- Inodes
| |-- File Access Methods
|
|-- Networking
| |-- TCP/IP
| |-- Protocols
| |-- Network Stack
| |-- Routing
| |-- Firewalls
|
|-- Security
| |-- Authentication
| |-- Authorization
| |-- Encryption
| |-- Access Control Lists (ACL)
|
|-- Process Management
| |-- PCB (Process Control Block)
| |-- Context Switching
| |-- Deadlocks
| |-- Synchronization
| |-- Mutual Exclusion
|
|-- Device Management
| |-- I/O Buffering
| |-- Device Controllers
| |-- Interrupt Handling
| |-- DMA (Direct Memory Access)
|
|-- User Interface
| |-- Graphical User Interface (GUI)
| |-- Command Line Interface (CLI)
| |-- Windowing Systems
|
|-- Shell
| |-- Command Interpreter
| |-- Scripting
| |-- Job Control
|
|-- System Utilities
| |-- Task Manager
| |-- Disk Cleanup
| |-- System Monitor
| |-- Backup and Restore
|
|-- Boot Process
| |-- BIOS/UEFI
| |-- Boot Loader
| |-- Kernel Initialization
| |-- Init Process
|
|-- System Libraries
| |-- Standard C Library
| |-- POSIX Library
| |-- WinAPI (for Windows)
|
|-- System Calls
| |-- File System Calls
| |-- Process Control Calls
| |-- Memory Management Calls
| |-- Communication Calls
|
|-- Error Handling
| |-- Error Codes
| |-- Logging
| |-- Recovery Strategies
|
|-- Distributed Systems
| |-- Clustering
| |-- Load Balancing
| |-- Distributed File Systems
|
|-- Cloud Computing
| |-- Virtualization
| |-- Infrastructure as a Service (IaaS)
| |-- Platform as a Service (PaaS)
| |-- Software as a Service (SaaS)
|
└-- Comments
|-- // Single-line comment
└-- /* Multi-line comment */
Join for more: https://t.me/programming_guide
List of most asked Programming Interview Questions.
Are you preparing for a coding interview? This tweet is for you. It contains a list of the most asked interview questions from each topic.
Arrays
- How is an array sorted using quicksort?
- How do you reverse an array?
- How do you remove duplicates from an array?
- How do you find the 2nd largest number in an unsorted integer array?
Linked Lists
- How do you find the length of a linked list?
- How do you reverse a linked list?
- How do you find the third node from the end?
- How are duplicate nodes removed in an unsorted linked list?
Strings
- How do you check if a string contains only digits?
- How can a given string be reversed?
- How do you find the first non-repeated character?
- How do you find duplicate characters in strings?
Binary Trees
- How are all leaves of a binary tree printed?
- How do you check if a tree is a binary search tree?
- How is a binary search tree implemented?
- Find the lowest common ancestor in a binary tree?
Graph
- How to detect a cycle in a directed graph?
- How to detect a cycle in an undirected graph?
- Find the total number of strongly connected components?
- Find whether a path exists between two nodes of a graph?
- Find the minimum number of swaps required to sort an array.
Dynamic Programming
1. Find the longest common subsequence?
2. Find the longest common substring?
3. Coin change problem?
4. Box stacking problem?
5. Count the number of ways to cover a distance?
Complete DSA Roadmap
|-- Basic_Data_Structures
| |-- Arrays
| |-- Strings
| |-- Linked_Lists
| |-- Stacks
| └─ Queues
|
|-- Advanced_Data_Structures
| |-- Trees
| | |-- Binary_Trees
| | |-- Binary_Search_Trees
| | |-- AVL_Trees
| | └─ B-Trees
| |
| |-- Graphs
| | |-- Graph_Representation
| | | |- Adjacency_Matrix
| | | └ Adjacency_List
| | |
| | |-- Depth-First_Search
| | |-- Breadth-First_Search
| | |-- Shortest_Path_Algorithms
| | | |- Dijkstra's_Algorithm
| | | └ Bellman-Ford_Algorithm
| | |
| | └─ Minimum_Spanning_Tree
| | |- Prim's_Algorithm
| | └ Kruskal's_Algorithm
| |
| |-- Heaps
| | |-- Min_Heap
| | |-- Max_Heap
| | └─ Heap_Sort
| |
| |-- Hash_Tables
| |-- Disjoint_Set_Union
| |-- Trie
| |-- Segment_Tree
| └─ Fenwick_Tree
|
|-- Algorithmic_Paradigms
| |-- Brute_Force
| |-- Divide_and_Conquer
| |-- Greedy_Algorithms
| |-- Dynamic_Programming
| |-- Backtracking
| |-- Sliding_Window_Technique
| |-- Two_Pointer_Technique
| └─ Divide_and_Conquer_Optimization
| |-- Merge_Sort_Tree
| └─ Persistent_Segment_Tree
|
|-- Searching_Algorithms
| |-- Linear_Search
| |-- Binary_Search
| |-- Depth-First_Search
| └─ Breadth-First_Search
|
|-- Sorting_Algorithms
| |-- Bubble_Sort
| |-- Selection_Sort
| |-- Insertion_Sort
| |-- Merge_Sort
| |-- Quick_Sort
| └─ Heap_Sort
|
|-- Graph_Algorithms
| |-- Depth-First_Search
| |-- Breadth-First_Search
| |-- Topological_Sort
| |-- Strongly_Connected_Components
| └─ Articulation_Points_and_Bridges
|
|-- Dynamic_Programming
| |-- Introduction_to_DP
| |-- Fibonacci_Series_using_DP
| |-- Longest_Common_Subsequence
| |-- Longest_Increasing_Subsequence
| |-- Knapsack_Problem
| |-- Matrix_Chain_Multiplication
| └─ Dynamic_Programming_on_Trees
|
|-- Mathematical_and_Bit_Manipulation_Algorithms
| |-- Prime_Numbers_and_Sieve_of_Eratosthenes
| |-- Greatest_Common_Divisor
| |-- Least_Common_Multiple
| |-- Modular_Arithmetic
| └─ Bit_Manipulation_Tricks
|
|-- Advanced_Topics
| |-- Trie-based_Algorithms
| | |-- Auto-completion
| | └─ Spell_Checker
| |
| |-- Suffix_Trees_and_Arrays
| |-- Computational_Geometry
| |-- Number_Theory
| | |-- Euler's_Totient_Function
| | └─ Mobius_Function
| |
| └─ String_Algorithms
| |-- KMP_Algorithm
| └─ Rabin-Karp_Algorithm
|
|-- OnlinePlatforms
| |-- LeetCode
| |-- HackerRank
Best DSA RESOURCES: https://topmate.io/coding/886874
Credits: https://t.me/free4unow_backup
All the best 👍👍
Hello world in different languages
C and Python Applications
Philip Joyce, 2023
Repost from N/a
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30-Day Roadmap to Learn Android App Development up to an Intermediate Level
Week 1: Setting the Foundation
*Day 1-2:*
- Familiarize yourself with the basics of Android development and set up Android Studio.
- Create a simple "Hello, Android!" app and run it on an emulator or a physical device.
*Day 3-4:*
- Understand the Android project structure and layout files (XML).
- Explore activities and their lifecycle in Android.
*Day 5-7:*
- Dive into user interface components like buttons, text views, and layouts.
- Build a basic interactive app with user input.
Week 2: Functionality and Navigation
*Day 8-9:*
- Study how to handle button clicks and user interactions.
- Learn about intents and navigation between activities.
*Day 10-12:*
- Explore fragments for modular UI components.
- Understand how to pass data between activities and fragments.
*Day 13-14:*
- Practice creating and using custom views.
- Build a small project involving multiple activities and fragments.
Week 3: Data Management
*Day 15-17:*
- Learn about data storage options: SharedPreferences and internal storage.
- Understand how to work with SQLite databases in Android.
*Day 18-19:*
- Study content providers and how to share data between apps.
- Practice implementing data persistence in a project.
*Day 20-21:*
- Explore background processing and AsyncTask for handling long-running tasks.
- Understand the basics of threading and handling concurrency.
Week 4: Advanced Topics
*Day 22-23:*
- Dive into handling permissions in Android apps.
- Work on projects involving file operations and reading/writing to external storage.
*Day 24-26:*
- Learn about services and background processing.
- Explore broadcast receivers and how to respond to system-wide events.
*Day 27-28:*
- Study advanced UI components like RecyclerView for efficient list displays.
- Explore Android's networking capabilities and make API requests.
*Day 29-30:*
- Delve into more advanced topics like dependency injection (e.g., Dagger).
- Explore additional libraries and frameworks relevant to your interests (e.g., Retrofit for networking, Room for database management).
- Work on a complex project that combines your knowledge from the past weeks.
Throughout the 30 days, practice coding daily, consult Android documentation, and leverage online resources for additional guidance. Adapt the roadmap based on your progress and interests. Good luck with your Android app development journey!
Java Backend Development is a highly in-demand and well-paying job in the tech industry.
If you're looking to become an excellent Java Developer, here's a roadmap that includes various online resources👇👇
https://t.me/Java_Programming_Notes/15
Here are seven top coding projects to work on in 2024:
1. Rock Paper Scissors Game: This simple yet engaging project involves building a game where the user can play rock-paper-scissors against the computer. It's a great way to get familiar with user input handling, conditional statements, and loops [[❞]](https://hackr.io/blog/python-projects).
2. Dice Roll Simulator: Create a program that simulates rolling dice. This project helps in understanding random number generation, user-defined functions, and basic I/O operations [[❞]](https://hackr.io/blog/python-projects).
3. CopilotKit: An advanced project aimed at building AI-driven text editors and in-app copilots with auto-completion and context-aware editing. This project involves working with AI and machine learning integrations, making it suitable for those interested in AI development [[❞]](https://dev.to/anmolbaranwal/20-open-source-projects-you-shouldnt-miss-in-2024-3ja4).
4. Shadcn UI: This project involves using Shadcn UI, a set of customizable components for frontend development. It’s particularly useful for developers looking to enhance their UI/UX skills [[❞]](https://dev.to/anmolbaranwal/20-open-source-projects-you-shouldnt-miss-in-2024-3ja4).
5. Django 4.0 Projects: Working with Django 4.0 allows developers to build scalable web applications using the latest features of this robust web development framework. It’s ideal for learning web development and backend integration [[❞]](https://engineersplanet.com/exploring-the-top-10-python-projects-2024/).
6. Dash for Data Visualization: This project involves creating interactive data visualizations using Dash, built on Flask and Plotly. It's perfect for developers interested in data science and creating dashboards [[❞]](https://engineersplanet.com/exploring-the-top-10-python-projects-2024/).
7. Real-Time Video Processing with Chromakey: Build a web application that applies chromakey effects (green screen) to videos in real-time. This project combines video processing with web technologies like HTML, CSS, and JavaScript [[❞]](https://dev.to/mukeshkuiry/25-web-development-projects-you-must-work-on-2024-4onl).
ENJOY LEARNING 👍👍
