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 55 782 名订阅者,在 技术与应用 类别中位列第 2 360,并在 印度 地区排名第 6 076 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 55 782 名订阅者。
根据 31 十月, 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 -218,过去 24 小时变化为 -11,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 1.99%。内容发布后 24 小时内通常能获得 0.58% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 1 109 次浏览,首日通常累积 321 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 01 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。
55 782
订阅者
-1124 小时
-397 天
-21830 天
帖子存档
𝟳 𝗙𝗥𝗘𝗘 𝗖𝗼𝗱𝗶𝗻𝗴 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗛𝗧𝗠𝗟, 𝗖𝗦𝗦 & 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁😍
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Important skills every self-taught developer should master:
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🧠 Problem-solving — break down and debug complex issues
🗄️ Basic SQL — manage and query data efficiently
🧩 APIs — fetch and use data from external sources
🧱 Frameworks — like React, Flask, or Django to build faster
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📦 Package Managers — like npm or pip for managing libraries
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1️⃣ Master Advanced SQL
Foundations: Learn database structures, tables, and relationships.
Basic SQL Commands: SELECT, FROM, WHERE, ORDER BY.
Aggregations: Get hands-on with SUM, COUNT, AVG, MIN, MAX, GROUP BY, and HAVING.
JOINs: Understand LEFT, RIGHT, INNER, OUTER, and CARTESIAN joins.
Advanced Concepts: CTEs, window functions, and query optimization.
Metric Development: Build and report metrics effectively.
2️⃣ Study Statistics & A/B Testing
Descriptive Statistics: Know your mean, median, mode, and standard deviation.
Distributions: Familiarize yourself with normal, Bernoulli, binomial, exponential, and uniform distributions.
Probability: Understand basic probability and Bayes' theorem.
Intro to ML: Start with linear regression, decision trees, and K-means clustering.
Experimentation Basics: T-tests, Z-tests, Type 1 & Type 2 errors.
A/B Testing: Design experiments—hypothesis formation, sample size calculation, and sample biases.
3️⃣ Learn Python for Data
Data Manipulation: Use pandas for data cleaning and manipulation.
Data Visualization: Explore matplotlib and seaborn for creating visualizations.
Hypothesis Testing: Dive into scipy for statistical testing.
Basic Modeling: Practice building models with scikit-learn.
4️⃣ Develop Product Sense
Product Management Basics: Manage projects and understand the product life cycle.
Data-Driven Strategy: Leverage data to inform decisions and measure success.
Metrics in Business: Define and evaluate metrics that matter to the business.
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Communication: Clearly explain data findings to technical and non-technical audiences.
Collaboration: Work effectively in teams.
Time Management: Prioritize and manage projects efficiently.
Self-Reflection: Regularly assess and improve your skills.
6️⃣ Bonus: Basic Data Engineering
Data Modeling: Understand dimensional modeling and trade-offs in normalization vs. denormalization.
ETL: Set up extraction jobs, manage dependencies, clean and validate data.
Pipeline Testing: Conduct unit testing and ensure data quality throughout the pipeline.
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𝟮𝟬 𝗠𝘂𝘀𝘁-𝗞𝗻𝗼𝘄 𝗦𝗤𝗟 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗔𝘀𝗸𝗲𝗱 𝗯𝘆 𝗚𝗼𝗼𝗴𝗹𝗲, 𝗔𝗺𝗮𝘇𝗼𝗻 & 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁😍
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All The Best 🎊
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Python is everywhere—web dev, data science, automation, AI…
But where should YOU start if you're a beginner?
Don’t worry. Here’s a 6-step roadmap to master Python the smart way (no fluff, just action)👇
🔹 𝗦𝘁𝗲𝗽 𝟭: Learn the Basics (Don’t Skip This!)
✅ Variables, data types (int, float, string, bool)
✅ Loops (for, while), conditionals (if/else)
✅ Functions and user input
Start with:
Python.org Docs
YouTube: Programming with Mosh / CodeWithHarry
Platforms: W3Schools / SoloLearn / FreeCodeCamp
Spend a week here.
Practice > Theory.
🔹 𝗦𝘁𝗲𝗽 𝟮: Automate Boring Stuff (It’s Fun + Useful!)
✅ Rename files in bulk
✅ Auto-fill forms
✅ Web scraping with BeautifulSoup or Selenium
Read: “Automate the Boring Stuff with Python”
It’s beginner-friendly and practical!
🔹 𝗦𝘁𝗲𝗽 𝟯: Build Mini Projects (Your Confidence Booster)
✅ Calculator app
✅ Dice roll simulator
✅ Password generator
✅ Number guessing game
These small projects teach logic, problem-solving, and syntax in action.
🔹 𝗦𝘁𝗲𝗽 𝟰: Dive Into Libraries (Python’s Superpower)
✅ Pandas and NumPy – for data
✅ Matplotlib – for visualizations
✅ Requests – for APIs
✅ Tkinter – for GUI apps
✅ Flask – for web apps
Libraries are what make Python powerful. Learn one at a time with a mini project.
🔹 𝗦𝘁𝗲𝗽 𝟱: Use Git + GitHub (Be a Real Dev)
✅ Track your code with Git
✅ Upload projects to GitHub
✅ Write clear README files
✅ Contribute to open source repos
Your GitHub profile = Your online CV. Keep it active!
🔹 𝗦𝘁𝗲𝗽 𝟲: Build a Capstone Project (Level-Up!)
✅ A weather dashboard (API + Flask)
✅ A personal expense tracker
✅ A web scraper that sends email alerts
✅ A basic portfolio website in Python + Flask
Pick something that solves a real problem—bonus if it helps you in daily life!
🎯 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝘆𝘁𝗵𝗼𝗻 = 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗦𝗼𝗹𝘃𝗶𝗻𝗴
You don’t need to memorize code. Understand the logic.
Google is your best friend. Practice is your real teacher.
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📂 Programming & Development Fundamentals
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∟📂 Learn Data Structures & Algorithms
∟📂 Understand Design Patterns & Best Practices
📂 Software Design & Architecture Principles
∟📂 Learn SOLID Principles & Clean Code Practices
∟📂 Master Object-Oriented & Functional Design
∟📂 Understand Domain-Driven Design (DDD)
📂 System Design & Scalability
∟📂 Learn Microservices & Monolithic Architectures
∟📂 Understand Load Balancing, Caching & CDNs
∟📂 Dive into CAP Theorem & Event-Driven Architecture
📂 Databases & Storage Solutions
∟📂 Master SQL & NoSQL Databases
∟📂 Learn Database Scaling & Sharding Strategies
∟📂 Understand Data Warehousing & ETL Processes
📂 Cloud Computing & DevOps
∟📂 Learn Cloud Platforms (AWS, Azure, GCP)
∟📂 Understand CI/CD & Infrastructure as Code (IaC)
∟📂 Work with Containers & Kubernetes
📂 Security & Performance Optimization
∟📂 Master Secure Coding Practices
∟📂 Learn Authentication & Authorization (OAuth, JWT)
∟📂 Optimize System Performance & Reliability
📂 Project Management & Communication
∟📂 Work with Agile & Scrum Methodologies
∟📂 Collaborate with Cross-Functional Teams
∟📂 Improve Technical Documentation & Decision-Making
📂 Real-World Experience & Leadership
∟📂 Design & Build Scalable Software Systems
∟📂 Contribute to Open-Source & Architectural Discussions
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Repost from Data Analytics
𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗙𝗿𝗼𝗺 𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀😍
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Git Commands
🛠 git init – Initialize a new Git repository
📥 git clone – Clone a repository
📊 git status – Check the status of your repository
➕ git add – Add a file to the staging area
📝 git commit -m "message" – Commit changes with a message
🚀 git push – Push changes to a remote repository
⬇️ git pull – Fetch and merge changes from a remote repository
Branching
📌 git branch – List all branches
🌱 git branch – Create a new branch
🔄 git checkout – Switch to a branch
🔗 git merge – Merge a branch into the current branch
⚡️ git rebase – Apply commits on top of another branch
Undo & Fix Mistakes
⏪ git reset --soft HEAD~1 – Undo the last commit but keep changes
❌ git reset --hard HEAD~1 – Undo the last commit and discard changes
🔄 git revert – Create a new commit that undoes a specific commit
Logs & History
📖 git log – Show commit history
🌐 git log --oneline --graph --all – View commit history in a simple graph
Stashing
📥 git stash – Save changes without committing
🎭 git stash pop – Apply stashed changes and remove them from stash
Remote & Collaboration
🌍 git remote -v – View remote repositories
📡 git fetch – Fetch changes without merging
🕵️ git diff – Compare changes
Don’t forget to react ❤️ if you’d like to see more content like this!
𝟱 𝗙𝗿𝗲𝗲 𝗠𝗜𝗧 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗵𝗮𝘁 𝗪𝗶𝗹𝗹 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿😍
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All The Best 🎊
Most Asked Interview Questions with Answers 💻✅
𝟳 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 𝗜𝗻 𝟮𝟬𝟮𝟱 😍
If you dream of a tech career but don’t want to break the bank, you’re in the right place.
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