How to Write Efficient Python Code Even If You’re a Beginner
KDnuggets
MAY 27, 2025
You dont need to be a Python pro to write fast, clean code. Just a few smart coding habits can go a long way.
Integrating DuckDB & Python: An Analytics Guide
KDnuggets
JUNE 10, 2025
By Josep Ferrer , KDnuggets AI Content Specialist on June 10, 2025 in Python Image by Author DuckDB is a fast, in-process analytical database designed for modern data analysis. As understanding how to deal with data is becoming more important, today I want to show you how to build a Python workflow with DuckDB and explore its key features.
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Build a Data Cleaning & Validation Pipeline in Under 50 Lines of Python
KDnuggets
JUNE 24, 2025
By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on June 24, 2025 in Python Image by Author | Ideogram Data is messy. By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on June 24, 2025 in Python Image by Author | Ideogram Data is messy.
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Go vs. Python for Modern Data Workflows: Need Help Deciding?
KDnuggets
JUNE 19, 2025
Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Go vs. Python for Modern Data Workflows: Need Help Deciding?
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Apache Airflow® Crash Course: From 0 to Running your Pipeline in the Cloud
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Airflow enables you to define workflows as Python code, allowing for dynamic and scalable pipelines suitable to any use case from ETL/ELT to running ML/AI operations in production. With over 30 million monthly downloads, Apache Airflow is the tool of choice for programmatically authoring, scheduling, and monitoring data pipelines.
Build ETL Pipelines for Data Science Workflows in About 30 Lines of Python
KDnuggets
JULY 8, 2025
Start here with a simple Python pipeline that covers the essentials. Nothing fancy, just practical code that gets the job done. 🔗 Link to the code on GitHub What Is an Extract, Transform, Load (ETL) Pipeline? You can find the complete code on GitHub. Happy coding! She enjoys reading, writing, coding, and coffee!
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Stop Writing Messy Python: A Clean Code Crash Course
KDnuggets
JUNE 11, 2025
Writing Python that works is easy. But writing Python that's clean, readable, and maintainable? That's what this crash course is for.
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7 Python Errors That Are Actually Features
KDnuggets
JUNE 10, 2025
By Cornellius Yudha Wijaya , KDnuggets Technical Content Specialist on June 10, 2025 in Python Image by Author | Ideogram Python has become a primary tool for many data professionals for data manipulation and machine learning purposes because of how easy it is for people to use. Let’s see the error in the Python code.
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7 Cool Python Projects to Automate the Boring Stuff
KDnuggets
JUNE 9, 2025
By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on June 9, 2025 in Python Image by Author | Ideogram Have you ever spent several hours on repetitive tasks that leave you feeling bored and… unproductive? But you can automate most of this boring stuff with Python. I totally get it. Let’s get started.
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5 Fun Python Projects for Absolute Beginners
KDnuggets
JULY 2, 2025
Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Fun Python Projects for Absolute Beginners Bored of theory?
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Build Better Data Pipelines with SQL and Python in Snowflake
Snowflake
JUNE 10, 2025
To do this, we’re excited to announce new and improved features that simplify complex workflows across the entire data engineering landscape — from SQL workflows that support collaboration to more complex pipelines in Python. Python XML RowTag Reader (private preview) allows loading large, nested XML files using a simple rowTag option.
How to test PySpark code with pytest
Start Data Engineering
APRIL 22, 2024
Ensure the code’s logic is working as expected with tests 2.1. pytest: A powerful Python library for testing 2.2.1. Set context, run code, check results & clean up 2.2.2. Introduction 2. Test types for data pipelines 2.2. Tests are identified by their name 2.2.3. Use fixture to create fake data for testing 2.2.4.
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Python functools & itertools: 7 Super Handy Tools for Smarter Code
KDnuggets
JULY 2, 2025
Want to code smarter, not harder? Start using these 7 utilities from Python's functools and itertools that are useful, practical, and elegant!
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A Gentle Introduction to Principal Component Analysis (PCA) in Python
KDnuggets
JULY 4, 2025
By Iván Palomares Carrascosa , KDnuggets Technical Content Specialist on July 4, 2025 in Python Image by Author | Ideogram Principal component analysis (PCA) is one of the most popular techniques for reducing the dimensionality of high-dimensional data.
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5 Error Handling Patterns in Python (Beyond Try-Except)
KDnuggets
JUNE 6, 2025
Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Error Handling Patterns in Python (Beyond Try-Except) Stop letting errors crash your app.
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Make Sense of a 10K+ Line GitHub Repos Without Reading the Code
KDnuggets
JUNE 24, 2025
Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Make Sense of a 10K+ Line GitHub Repos Without Reading the Code No time to read huge GitHub projects?
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5 Streamlit Python Project Ideas and Examples for Practice
ProjectPro
JUNE 6, 2025
With over 54 repositories and 20k stars, Streamlit is an open-source Python framework for developing and distributing web apps for data science and machine learning projects. Let us explore a few exciting Streamlit python project ideas for data scientists and data engineers. using Streamlit. Check them out now!
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Enhancing the Python ecosystem with type checking and free threading
Engineering at Meta
MAY 5, 2025
Meta and Quantsight have improved key libraries in the Python Ecosystem. Enhancing typed Python in the Python scientific stack Type hints, introduced in Python 3.5 with PEP-484 , allow developers to specify variable types, enhancing code understanding without affecting runtime behavior.
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7 Steps to Mastering Vibe Coding
KDnuggets
JULY 8, 2025
By Matthew Mayo , KDnuggets Managing Editor on July 8, 2025 in Programming Image by Author | ChatGPT Of all the buzzwords to emerge from the recent explosion in artificial intelligence, "vibe coding" might be the most evocative, and the most polarizing. The truth is, mastering vibe coding isnt about learning to write lazier prompts.
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Builder.ai did not “fake AI with 700 engineers”
The Pragmatic Engineer
JUNE 12, 2025
used 700 engineers in India for coding work it marketed as AI-powered” – MSN “Builder.ai This is a logical approach for 2024, when LLMs were already more than capable of generating high-quality code. In the video, there’s a cut, and the video returns when the React code is generated. Source: Builder.ai
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15+ Exciting Python Flask Projects for Data Science Enthusiasts
ProjectPro
JUNE 6, 2025
Are you a data science enthusiast looking to enhance your Python Flask skills? Check out these exciting python flask projects that will help you apply your Flask knowledge to solve real-world data science challenges. This is where Python Flask comes in. Here is the list of the best Python Flask projects ideal for data experts.
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10 GitHub Awesome Lists for Data Science
KDnuggets
JULY 1, 2025
Awesome Python: The Ultimate Python Resource List Link: vinta/awesome-python Here is a comprehensive list of Python frameworks, libraries, software, and resources that have been around for at least 10 years and are still actively maintained.
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Automating GitHub Workflows with Claude 4
KDnuggets
JUNE 13, 2025
By Abid Ali Awan , KDnuggets Assistant Editor on June 13, 2025 in Programming Image by Author Claude Opus 4 is Anthropics most advanced and powerful AI model to date, setting a new benchmark for coding, reasoning, and long-running tasks. Copy the authentication code generated by the console and paste it into the Claude Code terminal.
AI Agents in Analytics Workflows: Too Early or Already Behind?
KDnuggets
JUNE 13, 2025
Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter AI Agents in Analytics Workflows: Too Early or Already Behind? Here, SQL stepped in.
Data Science 113
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Serve Machine Learning Models via REST APIs in Under 10 Minutes
KDnuggets
JULY 4, 2025
Run it once to generate the model file: python model/train_model.py However, it: Validates input data automatically Returns meaningful responses with prediction confidence Logs every request to a file (api.log) Uses background tasks so the API stays fast and responsive Handles failures gracefully And all of it in under 100 lines of code.
Machine Learning 109
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How to Combine Streamlit, Pandas, and Plotly for Interactive Data Apps
KDnuggets
JUNE 27, 2025
By Vinod Chugani on June 27, 2025 in Data Science Image by Author | ChatGPT Introduction Creating interactive web-based data dashboards in Python is easier than ever when you combine the strengths of Streamlit , Pandas , and Plotly. Youll write your code in a text-based IDE like VS Code, save it as a.py sum():,}") col2.metric("Average
Machine Learning 102
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10 GitHub Repositories for Mastering Agents and MCPs
KDnuggets
JULY 7, 2025
These repositories include tutorials, code samples, hands-on projects, valuable resources, and even YouTube guides to accelerate your learning journey. All projects are built using Jupyter Notebook, with detailed descriptions, code, and outputs to help you quickly understand how each application works.
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Automate Data Quality Reports with n8n: From CSV to Professional Analysis
KDnuggets
JUNE 26, 2025
No Python environment setup, no manual coding, no switching between tools. Unlike writing standalone Python scripts, n8n workflows are visual, reusable, and easy to modify. This routine gets tedious when youre evaluating multiple datasets daily. Perfect for on-demand data quality checks.
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How to Learn Math for Data Science: A Roadmap for Beginners
KDnuggets
JUNE 12, 2025
Key Resources: "Think Stats" by Allen Downey Khan Academys Statistics course Coding component: Use Pythons scipy.stats and pandas for hands-on practice. This exercise will solidify your understanding of how math becomes working code. Most important advice: Code alongside every mathematical concept you learn.
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Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale
KDnuggets
JUNE 11, 2025
By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Latest Posts Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale Top 7 MCP Clients for AI Tooling Why You Need RAG to Stay Relevant as a Data Scientist Stop Writing Messy Python: A Clean Code Crash Course Selling Your Side Project?
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7 DuckDB SQL Queries That Save You Hours of Pandas Work
KDnuggets
JULY 7, 2025
That means no local setup headaches, you’re writing the code instantly. Data Project - Uber Business Modeling We will use it with Jupyter Notebook, combining it with Python for data analysis. Now, here is the code to make a connection and register the dataframe. Here is the code.
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Guide to OpenCV and Python-Dynamic Duo of Image Processing
ProjectPro
JUNE 6, 2025
Whether you’re looking to track objects in a video stream, build a face recognition system, or edit images creatively, OpenCV Python implementation is the go-to choice for the job. One library in Python is particularly famous for backing such computer vision applications and goes by the name- OpenCV. How to Use OpenCV in Python?
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Data News — Week 25.02
Christophe Blefari
JANUARY 11, 2025
I have a 15% discount code if you're interested BLEF_AIProductDay25. Actually a modern Kaggle for Agentic AI, in the end it's a mechanism to lower human labor cost, because spoiler human will code to create these agents. Agents write python code to call tools and orchestrate other agents.
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Interesting startup idea: benchmarking cloud platform pricing
The Pragmatic Engineer
OCTOBER 17, 2024
Python, Angular, SSR, SQLite, DuckDB, Cockroach DB, and many others. Other infrastructure: Primarily AWS ( S3 for cloud object storage, Parameter Store for hierarchical storage, Elastic Container Service ( ECS ) for container deployment and orchestration) The team manages AWS via infrastructure-as-a-code Pulumi. Tech stack.
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10 MongoDB Mini Projects Ideas for Beginners with Source Code
ProjectPro
JUNE 6, 2025
It is also compatible with IDEs like Studio3T, JetBrains (DataGrip), and VS Code. For example, C, C++, Go, Java, Node, Python, Rust, Scala , Swift, etc. Link to the source code. Access the project with this source code. Refer to GitHub Python codes to generate random price indices. with different attributes.
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10 Unique Business Intelligence Projects with Source Code 2025
ProjectPro
JUNE 6, 2025
10 Unique Business Intelligence Projects with Source Code for 2025 For the convenience of our curious readers, we have divided the projects on business intelligence into three categories so that they can easily pick a project on the basis of their previous experience with BI techniques. influence the land prices.
MLFlow Mastery: A Complete Guide to Experiment Tracking and Model Management
KDnuggets
JUNE 23, 2025
It packages code for reproducibility. Source Code : The exact code version used to produce the experiment results. MLFlow Projects MLflow Projects enable reproducibility and portability by standardizing the structure of ML code. A project contains: Source code : The Python scripts or notebooks for training and evaluation.
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No Python, No SQL Templates, No YAML: Why Your Open Source Data Quality Tool Should Generate 80% Of Your Data Quality Tests Automatically
DataKitchen
FEBRUARY 17, 2025
No Python, No SQL Templates, No YAML: Why Your Open Source Data Quality Tool Should Generate 80% Of Your Data Quality Tests Automatically As a data engineer, ensuring data quality is both essential and overwhelming. The reality is that 80% of data quality tests can be generated automatically , eliminating the need for tedious manual coding.
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The 7 Most Useful Jupyter Notebook Extensions for Data Scientists
KDnuggets
JUNE 18, 2025
By using Python code, we can generate an interactive visualization that enables users to engage in a more intuitive data exploration process. Voilà The usual Jupyter Notebooks are a static application where you run the code as it is, and not a standalone application to run. We can see an example of Jupyter Widgets below.
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15 Data Mining Projects Ideas with Source Code for Beginners
ProjectPro
JUNE 6, 2025
Please don’t think twice about scrolling down if you are looking for data mining projects ideas with source code. Project Idea: By merging using unique key values, you can take a look at the statistics of the dataset using Pandas dataframes and Matplotlib library of Python Programming language.
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15 Data Visualization Projects for Beginners with Source Code
ProjectPro
JUNE 6, 2025
Get FREE Access to Machine Learning Example Codes for Data Cleaning , Data Munging, and Data Visualization 3) Boxplot with Seaborn Seaborn is another statistical graphics library in Python built on top of matplotlib. 5) Basic Interactive Binned Scatter Plot with Altair Altair is another statistical visualization library for Python.
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Python Ray -The Fast Lane to Distributed Computing
ProjectPro
JUNE 6, 2025
Get ready to supercharge your data processing capabilities with Python Ray! Our tutorial teaches you how to unlock the power of parallelism and optimize your Python code for optimal performance. ​​Imagine This is where Python Ray comes in. Table of Contents What is Python Ray?
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7 Python Libraries For Web Scraping To Master Data Extraction
ProjectPro
JUNE 6, 2025
Struggling with finding the best Python libraries for web scraping for your next data science project? This blog lists the top seven Python web scraping libraries, their exceptional features, and much more to help you master the art of web scraping. Table of Contents Why are Python Libraries for Web Scraping Important?
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49 How to do Anomaly Detection using Machine Learning in Python?
ProjectPro
JUNE 6, 2025
The Isolation Forest model can be found in the scikit-learn package in Python. In Python, sklearn can again come in handy to implement DBSCAN quickly. Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization 3. In sklearn. ensemble, we have the IsolationForest() class.
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