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. Its tight integration with Python and R makes it ideal for interactive data analysis. EXCLUDE, REPLACE, and ALL) to simplify query writing.

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Python Analytics Analytics SQL 271

KDnuggets

JULY 8, 2025

Start here with a simple Python pipeline that covers the essentials. By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on July 8, 2025 in Data Science Image by Author | Ideogram You know that feeling when you have data scattered across different formats and sources, and you need to make sense of it all?

ETL 242

ETL Data Science Python Natural Language Processing 242

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.

Python 257

Python Natural Language Processing Data Science Machine Learning 257

KDnuggets

JULY 24, 2025

By Kanwal Mehreen , KDnuggets Technical Editor & Content Specialist on July 24, 2025 in Python Image by Author | Canva # Introduction When you’re new to Python, you usually use “for” loops whenever you have to process a collection of data. Libraries like NumPy allow you to implement vectorized thinking in Python.

Python 180

Python Natural Language Processing Data Science Machine Learning 180

KDnuggets

JULY 22, 2025

Every data scientist has been there: downsampling a dataset because it won’t fit into memory or hacking together a way to let a business user interact with a machine learning model. No Python or API wrangling needed - just a Sheets formula calling a model. It provides a Python API intentionally similar to pandas.

Data Science 241

Data Science Natural Language Processing Machine Learning Machine Learning 241

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?

Python 299

Python Natural Language Processing Data Science Machine Learning 299

KDnuggets

JULY 22, 2025

By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on July 22, 2025 in Python Image by Author | Ideogram # Introduction Most applications heavily rely on JSON for data exchange, configuration management, and API communication. This double-loop structure efficiently handles variable-length nested arrays.

Python 187

Python Natural Language Processing Data Science Machine Learning 187

Flipboard

JULY 18, 2025

Python web frameworks power everything from fast APIs and machine learning demos to complex web apps, interactive data apps, real-time applications, and production-ready deployments.

Data Scientist 158

Data Scientist Python Machine Learning Machine Learning 158

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.

Python 219

Python Natural Language Processing Data Science Machine Learning 219

KDnuggets

JUNE 26, 2025

Whats the overall data quality score? Most data scientists spend 15-30 minutes manually exploring each new dataset—loading it into pandas, running.info() ,describe() , and.isnull().sum() sum() , then creating visualizations to understand missing data patterns. Which columns are problematic?

Data Quality 268

Data Quality Data Science Natural Language Processing Machine Learning 268

KDnuggets

JUNE 10, 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 Selling Your Side Project?

Data Scientist 200

Data Scientist Data Science Natural Language Processing Machine Learning 200

KDnuggets

JULY 4, 2025

random_state=42)[:2]) os.makedirs("model", exist_ok=True) joblib.dump(clf, "model/iris_model.pkl") print("✅ Model saved to model/iris_model.pkl") This script loads the data, splits it, trains the model, and saves it using joblib. Run it once to generate the model file: python model/train_model.py Create a file called train_model.py

Machine Learning 300

Machine Learning Machine Learning Natural Language Processing Data Science 300

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?

Natural Language Processing 301

Natural Language Processing Data Science Machine Learning Machine Learning 301

Data Science Dojo

OCTOBER 31, 2024

For data scientists, this shift has opened up a global market of remote data science jobs, with top employers now prioritizing skills that allow remote professionals to thrive. Here’s everything you need to know to land a remote data science job, from advanced role insights to tips on making yourself an unbeatable candidate.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

KDnuggets

JULY 17, 2025

By Matthew Mayo , KDnuggets Managing Editor on July 17, 2025 in Python Image by Editor | ChatGPT Introduction Pythons standard library is extensive, offering a wide range of modules to perform common tasks efficiently. Remembering Insertion Order with OrderedDict Before Python 3.7, This is especially useful for grouping items.

Natural Language Processing 298

Natural Language Processing Data Science Python Machine Learning 298

KDnuggets

JULY 15, 2025

Streaming: Use tools like Kafka or event-driven APIs to ingest data continuously. There are two common approaches: Batch: Schedule periodic pulls (daily, hourly).

Data Pipeline 271

Data Pipeline Natural Language Processing Data Science SQL 271

KDnuggets

JULY 7, 2025

These clients can include Python frameworks, desktop chatbots, VSCode extensions, agentic code editors, and CLI tools like Claude Code. Abid Ali Awan ( @1abidaliawan ) is a certified data scientist professional who loves building machine learning models. People are making millions by doing this. So, what are you waiting for?

Natural Language Processing 342

Natural Language Processing Machine Learning Machine Learning Data Science 342

Flipboard

JULY 1, 2025

By Abid Ali Awan , KDnuggets Assistant Editor on July 1, 2025 in Data Science Image by Author | Canva Awesome lists are some of the most popular repositories on GitHub, often attracting thousands of stars from the community. Ideal for data scientists and engineers working with databases and complex data models.

Data Science 171

Data Science Natural Language Processing Machine Learning Machine Learning 171

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.

Python 225

Python Natural Language Processing Data Science Machine Learning 225

Flipboard

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.

Python 131

Python Natural Language Processing Machine Learning Machine Learning 131

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. This tutorial demonstrates a significant shift in how data scientists can share their work.

Natural Language Processing 257

Natural Language Processing Data Science Machine Learning Machine Learning 257

KDnuggets

JULY 21, 2025

And Why It Feels Clunky Sometimes) Matplotlib is the granddaddy of Python plotting libraries. Customize a histogram to match your company’s brand colors Recreate a chart from a recent news article as best you can Animate a plot showing data changes over time (hint: try FuncAnimation ) Lastly, Matplotlib evolves, and so should your knowledge.

Natural Language Processing 199

Natural Language Processing Data Science Machine Learning Machine Learning 199

KDnuggets

JULY 7, 2025

Data Project - Uber Business Modeling We will use it with Jupyter Notebook, combining it with Python for data analysis. To make things more exciting, we will work on a real-life data project. Here is the link to the data project we’ll be using in this article. So enough with the terms, let’s get started!

SQL 265

SQL Data Science Natural Language Processing Machine Learning 265

AWS Machine Learning Blog

NOVEMBER 6, 2024

However, as exciting as these advancements are, data scientists often face challenges when it comes to developing UIs and to prototyping and interacting with their business users. The Python application uses the Streamlit library to provide a user-friendly interface for interacting with a generative AI model.

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AWS Python AI AI 119

KDnuggets

JUNE 23, 2025

It supports data scientists and engineers working together. A project contains: Source code : The Python scripts or notebooks for training and evaluation. It manages the entire machine learning lifecycle. It provides tools to simplify workflows. These tools help develop, deploy, and maintain models. or evaluate.py.

Machine Learning 228

Machine Learning Machine Learning Natural Language Processing Data Science 228

Pickl AI

JUNE 5, 2025

Summary: In 2025, data scientists in India will be vital for data-driven decision-making across industries. It highlights the growing opportunities and challenges in India’s dynamic data science landscape. Key Takeaways Data scientists in India require strong programming and machine learning skills for diverse industries.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

KDnuggets

JUNE 9, 2025

Abid Ali Awan ( @1abidaliawan ) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies.

Natural Language Processing 304

Natural Language Processing Data Science Machine Learning Machine Learning 304

Flipboard

JULY 18, 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 What Does Python’s __slots__ Actually Do? What is __slots__ in Python?

Data Science 148

Data Science Natural Language Processing Python Machine Learning 148

KDnuggets

JUNE 17, 2025

With Modal, you can configure your Python app, including system requirements like GPUs, Docker images, and Python dependencies, and then deploy it to the cloud with a single command. It is an ideal platform for beginners, data scientists, and non-software engineering professionals who want to avoid dealing with cloud infrastructure.

Natural Language Processing 171

Natural Language Processing Machine Learning Machine Learning Data Science 171

KDnuggets

JULY 23, 2025

For example, here is the Python code to use Google’s Gemini model with LiteLLM. With modest resources required for Python library installation, we can run LiteLLM on our local laptop or host it in a containerized deployment with Docker without a need for complex additional configuration.

Natural Language Processing 193

Natural Language Processing Data Science Python Machine Learning 193

Flipboard

JULY 16, 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 The Lifecycle of Feature Engineering: From Raw Data to Model-Ready Inputs This article explains how (..)

Machine Learning 151

Machine Learning Machine Learning Natural Language Processing Data Science 151

Flipboard

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. You can start with clean data from sources like seaborns built-in datasets, then graduate to messier real-world data.

Data Science 161

Data Science Natural Language Processing Hypothesis Testing Machine Learning 161

AWS Machine Learning Blog

DECEMBER 12, 2024

Amazon SageMaker has redesigned its Python SDK to provide a unified object-oriented interface that makes it straightforward to interact with SageMaker services. The higher-level abstracted layer is designed for data scientists with limited AWS expertise, offering a simplified interface that hides complex infrastructure details.

ML 102

ML ML Python AWS 102

Flipboard

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?

Analytics 154

Analytics Analytics Natural Language Processing Data Science 154

KDnuggets

JUNE 19, 2025

By Shamima Sultana on June 19, 2025 in Data Science Image by Editor | Midjourney While Python-based tools like Streamlit are popular for creating data dashboards, Excel remains one of the most accessible and powerful platforms for building interactive data visualizations.

Data Science 231

Data Science Natural Language Processing Machine Learning Machine Learning 231

KDnuggets

JUNE 12, 2025

py # (Optional) to mark directory as Python package You can leave the __init.py__ file empty, as its main purpose is simply to indicate that this directory should be treated as a Python package. Tools Required(requirements.txt) The necessary libraries required are: PyPDF : A pure Python library to read and write PDF files.

Data Science 250

Data Science Natural Language Processing Python Machine Learning 250

Flipboard

JULY 9, 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 Ways to Transition Into AI from a Non-Tech Background You have a non-tech background?

Machine Learning 146

Machine Learning Machine Learning Natural Language Processing Data Science 146