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Here we have compiled a list of 40 cheat sheets that cover a wide range of topics essential for you. ๐Ÿ‘‡
List of 40+ Cheat Sheets

1. HTML & CSS :- htmlcheatsheet.com
2. JavaScript :- https://quickref.me/javascript
3. Jquery :- https://oscarotero.com/jquery/
4. Bootstrap 5 :- https://lnkd.in/dNZ6qdBh
5. Tailwind CSS :- https://lnkd.in/d_T5q5Tx
6. React :- https://t.me/javascriptresourcestp/460
7. Python :- https://t.me/pythonresourcestp/71
8. MongoDB :- https://lnkd.in/dBXxCQ43
9. SQL :- https://t.me/sqlresourcestp/8
10. Nodejs :- https://lnkd.in/dwry8BKH
11. Expressjs :- https://quickref.me/express
12. Django :- https://lnkd.in/dYWQKZnT
13. PHP :- https://quickref.me/php
14. Google Dork :- https://lnkd.in/dKej3-42
15. Linux :- https://lnkd.in/dCgH_qUq
16. Git :- https://t.me/techpsyche/131
17. VSCode :- https://quickref.me/vscode
18. Deep Learning :- https://t.me/mlresourcestp/5
19. Data Structures and Algorithms :- https://lnkd.in/d75ijyr3
20. DSA Practice :- https://lnkd.in/dDc6SaR8
21. Data Science :- https://lnkd.in/dHaxPYYA
22. Flask :- https://lnkd.in/dkUyWHqR
23. CCNA :- https://lnkd.in/dE_yD6ny
24. Cloud Computing :- https://lnkd.in/d9vggegr
25. Machine Learning :- https://t.me/mlresourcestp/9
26. Windows Command :- https://lnkd.in/dAMeCywP
27. Computer Basics :- https://lnkd.in/d9yaNaWN
28. MySQL :- https://lnkd.in/d7iJjSpQ
29. PostgreSQL :- https://lnkd.in/dDHQkk5f
30. MSExcel :- https://t.me/dataanalysisresourcestp/92
31. MSWord :- https://lnkd.in/dAX4FGkR
32. Java :- https://lnkd.in/dRe98iSB
33. Cryptography :- https://lnkd.in/dYvRHAH9
34. C++ :- https://lnkd.in/d4GjE2kd
35. C :- https://lnkd.in/diuHU72d
36. Resume Creation :- https://t.me/techpsyche/495
37. ChatGPT :- https://t.me/airesourcestp/73
38. Docker :- https://lnkd.in/dNVJxYNa
39. R Programming :- datacamp.com/cheat-sheet/getting-started-r
40. AngularJS :- https://v17.angular.io/guide/cheatsheet

Find More Tips & Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Forwarded from SQL Resources TP
Many people charge too much to teach SQL, but my mission is to break down barriers. I have shared complete learning series to learn SQL from scratch.

Here are the links to the SQL series

Complete SQL Topics for Data Analyst: https://t.me/sqlresourcestp/83

Part-1: https://t.me/sqlresourcestp/58

Part-2: https://t.me/sqlresourcestp/59

Part-3: https://t.me/sqlresourcestp/60

Part-4: https://t.me/sqlresourcestp/61

Part-5: https://t.me/sqlresourcestp/62

Part-6: https://t.me/sqlresourcestp/63

Part-7: https://t.me/sqlresourcestp/64

Part-8: https://t.me/sqlresourcestp/65

Part-9: https://t.me/sqlresourcestp/66

Part-10: https://t.me/sqlresourcestp/67

Part-11: https://t.me/sqlresourcestp/68

Part-12: https://t.me/sqlresourcestp/71

Part-13: https://t.me/sqlresourcestp/72

Part-14: https://t.me/sqlresourcestp/73

Part-15: https://t.me/sqlresourcestp/74

Part-16: https://t.me/sqlresourcestp/75

Part-17: https://t.me/sqlresourcestp/76

Part-18: https://t.me/sqlresourcestp/77

Part-19: https://t.me/sqlresourcestp/80

Part-20: https://t.me/sqlresourcestp/81

Thanks to all who support our channel and share the content with proper credits. You guys are really amazing.

Complete Excel Topics for Data Analysts: https://t.me/dataanalysisresourcestp/93

Here you can find SQL Interview Resources๐Ÿ‘‡
https://t.me/sqlresourcestp/40

Hope it helps :)

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20 Backend Project Ideas๐Ÿ”ฅ

๐Ÿ”นAPI for a Task Management System
๐Ÿ”นTo-Do List API
๐Ÿ”นBlog Platform
๐Ÿ”นMarkdown Note-taking App
๐Ÿ”นOnline Code Compiler API
๐Ÿ”นE-commerce API
๐Ÿ”นURL Shortening Service
๐Ÿ”นChat Application Backend
๐Ÿ”นWeb Scraper CLI
๐Ÿ”นOnline Bookstore
๐Ÿ”นSocial Media API
๐Ÿ”นMusic Streaming App
๐Ÿ”นFitness Workout Tracker
๐Ÿ”นAuthentication and Authorization Service
๐Ÿ”นFile Upload and Management System
๐Ÿ”นRecipe Sharing Platform
๐Ÿ”นEvent Booking System
๐Ÿ”นExpense Tracker API
๐Ÿ”นWeather Forecast Service
๐Ÿ”นOnline Food Ordering System

FullStack Project Ideas: https://t.me/webdevresourcestp/31

Python Project Ideas: https://t.me/pythonresourcestp/74

Web Development Project Ideas: https://t.me/webdevresourcestp/40

Make sure to scroll through the above messages ๐Ÿ’ you will definitely find more interesting things ๐Ÿค 

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โค1
THANK YOU !!!

Thank you being Part of this Channel.

We just hit 1000 subscribers.

Kindly appreciate the content we share by
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10 free tools to become top level creator.

1. Idea - Google
2. Research - ChatGPT
3. Script - Notion
4. Recoding - Audacity
5. Thumbnail - Canva
6. Editing - Davinci resolve
7. Stock Video - Mixkit
8. Captions - Clipchamp
9. Music & effect - YT Library
10. Scheduling - Buffer

13 AI Tools to 10X your Productivity: https://t.me/airesourcestp/94

10 AI Tools to save you Hours: https://t.me/airesourcestp/102

40 Content Creation Tools: https://t.me/airesourcestp/109

ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

More Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
๐Ÿ‘1
2025 % of all code written by AI = 50%
2026 % of all code written by AI = 100%
This was Anthropic CEO's prediction

I say
Accurate Prediction
2025 % of all code written by AI = 50%
2026 % of all code written by AI = 100%
2027 % of all code written by AI = 75%
2028 a lot of very very expensive senior developers make bank undoing all the garbage written in 2026
๐Ÿ’ก Here are 5 passive income ideas for developers๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป -

1. Build and Sell Apps or Plugins ๐Ÿ› ๐Ÿ“ฑ
Create a simple app, browser extension, or WordPress plugin. Publish it, set a price, and let the downloads roll in! ๐Ÿ’ต

2. Launch an Online Course ๐ŸŽ“๐Ÿ’ป
Share your coding wisdom! Record tutorials on platforms like Udemy or Gumroad, and earn every time someone enrolls. ๐Ÿ“šโœจ

3. Develop SaaS Products โ˜๏ธ๐Ÿš€
Solve a niche problem with a subscription-based software service. Think task trackers, productivity tools, or analytics dashboards! ๐Ÿ’ก๐Ÿ’ฐ

4. Write a Tech Ebook ๐Ÿ“–๐Ÿ‘จโ€๐Ÿ’ป
Document your expertise in a programming language or framework. Publish it on Amazon or Leanpub and watch the royalties stack up. ๐Ÿ“˜๐Ÿ’ธ

5. Create a YouTube Channel ๐Ÿ“น๐Ÿ’ป
Share coding tutorials, dev tips, or even live coding sessions. Once you get enough views and subscribers, YouTube ads, sponsorships, and memberships can bring in steady income! ๐ŸŽฌ๐Ÿ’ฐ
20th ๐Ÿ–ฅ March 2025 Free Udemy Coupons New Coupons Added
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๐Ÿ‘1
Microsoft ๐—ฃ๐˜†๐—ฆ๐—ฝ๐—ฎ๐—ฟ๐—ธ interview questions for Data Engineer 2024.

1. How would you optimize a PySpark DataFrame operation that involves multiple transformations and is running too slowly on a large dataset?

2. Given a large dataset that doesnโ€™t fit in memory, how would you convert a Pandas DataFrame to a PySpark DataFrame for scalable processing?

3. You have a large dataset with a highly skewed distribution. How would you handle data skewness in PySpark to ensure that your jobs do not fail or take too long to execute?

4. How do you optimize data partitioning in PySpark? When and how would you use repartition() and coalesce()?

5. Write a PySpark code snippet to calculate the moving average of a column for each partition of data, using window functions.

6. How would you handle null values in a PySpark DataFrame when different columns require different strategies (e.g., dropping, replacing, or imputing)?

7. When would you use a broadcast join in PySpark? Provide an example where broadcasting improves performance and explain the limitations.

8. When should you use UDFs instead of built-in PySpark functions, and how do you ensure UDFs are optimized for performance?

PySpark Concepts: https://t.me/datascienceresourcestp/63

Data Engineering Course: https://udemy.com/course/learn-data-engineering/

KAFKA Interview Questions: https://t.me/datascienceresourcestp/80

All the best ๐Ÿ‘๐Ÿ‘

Join Our WhatsApp Channel:
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Complete Data Science Roadmap ๐Ÿ‘‡๐Ÿ‘‡

1. Introduction to Data Science
- Overview and Importance
- Data Science Lifecycle
- Key Roles (Data Scientist, Analyst, Engineer)

2. Mathematics and Statistics
- Probability and Distributions
- Descriptive/Inferential Statistics
- Hypothesis Testing
- Linear Algebra and Calculus Basics

3. Programming Languages
- Python: NumPy, Pandas, Matplotlib
- R: dplyr, ggplot2
- SQL: Joins, Aggregations, CRUD

4. Data Collection & Preprocessing
- Data Cleaning and Wrangling
- Handling Missing Data
- Feature Engineering

5. Exploratory Data Analysis (EDA)
- Summary Statistics
- Data Visualization (Histograms, Box Plots, Correlation)

6. Machine Learning
- Supervised (Linear/Logistic Regression, Decision Trees)
- Unsupervised (K-Means, PCA)
- Model Selection and Cross-Validation

7. Advanced Machine Learning
- SVM, Random Forests, Boosting
- Neural Networks Basics

8. Deep Learning
- Neural Networks Architecture
- CNNs for Image Data
- RNNs for Sequential Data

9. Natural Language Processing (NLP)
- Text Preprocessing
- Sentiment Analysis
- Word Embeddings (Word2Vec)

10. Data Visualization & Storytelling
- Dashboards (Tableau, Power BI)
- Telling Stories with Data

11. Model Deployment
- Deploy with Flask or Django
- Monitoring and Retraining Models

12. Big Data & Cloud
- Introduction to Hadoop, Spark
- Cloud Tools (AWS, Google Cloud)

13. Data Engineering Basics
- ETL Pipelines
- Data Warehousing (Redshift, BigQuery)

14. Ethics in Data Science
- Ethical Data Usage
- Bias in AI Models

15. Tools for Data Science
- Jupyter, Git, Docker

16. Career Path & Certifications
- Building a Data Science Portfolio

Free Notes & Books to learn Data Science: https://t.me/datascienceresourcestp

Python Project Ideas: https://t.me/pythonresourcestp/74

Best Resources to learn Data Science ๐Ÿ‘‡๐Ÿ‘‡

Python Tutorial (http://pythontutorial.net/)

Data Science Course (http://kaggle.com/learn) by Kaggle

Machine Learning Course (http://developers.google.com/machine-learning/crash-course) by Google

Best Data Science & Machine Learning Resources (https://topmate.io/learning_resources/1406977)

Interview Process for Data Science Role at Amazon (https://t.me/datascienceresourcestp/85)

Python Interview Resources (https://t.me/pythonresourcestp/40)

Join for more free courses
https://t.me/techpsyche

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