All My Articles Under One Hood!

(Updated: 05 June 2026)

🔥 Latest 🔥

👉Telegram-Triggered Data Pipeline with AWS, Gemini & Databricks

👉Learn dbt for Analytics Engineering

👉Interactive SQL playground with Claude & PostgreSQL

👉Connecting Airflow with dbt and Snowflake

👉How to Integrate Google Gemini into Tableau Dashboards?

Analytics Vidhya

Profile → https://www.analyticsvidhya.com/blog/author/kaustubh1828/

1. FastAPI: The Right Replacement For Flask?
2. The Easiest Way To Deploy Machine Learning Models: PyWebIO
3. You Cannot Miss These 8 Python Libraries
4. Track Your Fitness With Python: Analyzing Google Fit Data
5. A Gentle Introduction to Bokeh: Interactive Python Plotting Library
6. Hands-on Experience With GPT3!
7. How to Load Kaggle Datasets Directly into Google Colab?
8. Exploring Mito: Automatic Python Code for SpreadSheet Operations
9. Running Pandas on GPU, Taking It To The Moon
10. Exploring Pandas DataFrame With D-Tale
11. Generate Reports Using Pandas Profiling, Deploy Using Streamlit
12. Plotting Visualizations Out of Pandas DataFrames
13. Style your Pandas DataFrame and Make it Stunning
14. Deploying ML Models as API Using FastAPI and Heroku
15. Creating Android Machine Learning Apps Using KivyMD
16. Python on Frontend: ML Models Web Interface With Brython
17. Everything You Need To Know About PandasGUI
18. How to Create Stunning and Interactive Dashboards in Excel?
19. How to Extract Tabular Data from Doc files Using Python?
20. Guide For Data Analysis: From Data Extraction to Dashboard
21. The Ultimate Guide to Master Jinja Template
22. Master Guide for Excel Automation Using Python
23. How to Automate Google Sheets? [New]🔥
24. How to Integrate Google Gemini into Tableau Dashboards? [New]🔥

Medium

1. Analyzing #justiceforcarry Using Twitter API
2. Building Android Apps With Python: Part -1
3. Building Android Apps With Python: Part -2
4. Building Android Apps With Python: Part -3
5. How Pandemic Has Affected College Scores: Analysis On Real Dataset
6. GitHub Action That Automates Portfolio Generation
7. Is Family Group That Bad? Results Will Shock You
8. Run Python Code on Websites: Exploring Brython
9. 3 Ways to Convert Python App into APK
10. Rebuilding My 7 Python Projects
11. Build Dashboards in Less Than 10 Lines of Code!
12. ColabCode: Deploying Machine Learning Models From Google Colab
13. Creating Interactive Jupyter Notebooks and Deployment on Heroku Using Voila
14. Deploying Python GitHub Actions to Marketplace
15. CyberBrain: Debugging Python Programs Like A Pro
16. Python But It’s Weird
17. How to Convert Pandas DataFrame Into API Using Beneath
18. Who Writes Better Code: GitHub CoPilot or GPT-3?
19. Why Does This Website Show No Source Code?
20. 5 Advance Features of FastAPI You Should Try
21. Python & NumPy Datetime: 8 Differences You Should Know
22. Frontend, Backend & Database Using Python: Anvil
23. Neptyne: Bringing Python to Google Sheets
24. Impress Your Neighbor with these 8 Python Libraries
25. Top 10 features of Snowflake You Must Try
26. Connecting Airflow with dbt and Snowflake
27. Interactive SQL playground with Claude & PostgreSQL [New]🔥
28. Learn dbt for Analytics Engineering [New]🔥
29. Telegram-Triggered Data Pipeline with AWS, Gemini & Databricks [New]🔥

Machine Learning Plus

Profile → https://www.machinelearningplus.com/kaustabh-gupta/ (they deleted my ID)

1. Pandas Reset Index — How to Reset the Index and Convert It to a Column?
2. Pandas Line Plot | Python
3. Pandas DateTime
4. Pandas Select Columns
5. Pandas Histogram
6. RegEx Replace values using Pandas
7. Pandas Describe
8. Pandas Head — How to get the first few rows?
9. Pandas read_csv() — How to read a CSV file in Python
10. Numpy Reshape — How to reshape arrays and what does -1 mean?
11. How to use numpy.random.rand() function ?

upGrad

I worked as a freelancer here. I wrote all the articles below.

1. Mastering Pandas: Important Pandas Functions For Your Next Project
2. 4 Types of Data: Nominal, Ordinal, Discrete, Continuous
3. Python 3.9: What’s New Now? Cool Features To Checkout
4. Types of Optimizers in Deep Learning Every AI Engineer Should Know
5. Object-Oriented Programming Concept in Python
6. Exploring AutoML: Top Tools Available [What You Need to Know]
7. Demystifying Confusion Matrix in Machine Learning [Astonishing]
8. Building Blocks of Neural Networks: Components of Neural Networks Explained
9. Exploring Pandas GUI [List of Best Features You Should Be Aware Of]
10. Types of Data Structures in Python: List, Tuple, Sets & Dictionary
11. Deploying Machine Learning Models on Heroku
12. Mastering NumPy: Initializing Ways, Ndarray Operations & Functions
13. Regular Expressions in Python [With Examples]: How to Implement?
14. Top SQL Queries in Python Every Python Developer Should Know
15. Top 8 Image Processing Projects Using Python [2021]
16. Argument vs Parameter: Difference Between Argument and Parameter [With Example]
17. Stemming & Lemmatization in Python: Which One To Use?

KDnuggets (Reposted Articles)

1. Rebuilding My 7 Python Projects
2. ColabCode: Deploying Machine Learning Models From Google Colab

Analytics India Magazine

Deploying Machine Learning Models In Android Apps Using Python