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.

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Python Natural Language Processing Data Science Machine Learning 181

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 189

Python Natural Language Processing Data Science Machine Learning 189

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 301

Python Natural Language Processing Data Science Machine Learning 301

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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Python Natural Language Processing Data Science Machine Learning 220

Flipboard

JULY 14, 2025

By Abid Ali Awan , KDnuggets Assistant Editor on July 14, 2025 in Python Image by Author | Canva Despite the rapid advancements in data science, many universities and institutions still rely heavily on tools like Excel and SPSS for statistical analysis and reporting. import statistics as stats 2. import statistics as stats 2.

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Data Scientist Python Natural Language Processing Machine Learning 165

KDnuggets

JULY 4, 2025

Run it once to generate the model file: python model/train_model.py More On This Topic FastAPI Tutorial: Build APIs with Python in Minutes Build a Data Cleaning & Validation Pipeline in Under 50 Lines of Python Top 5 Machine Learning APIs Practitioners Should Know 5 Machine Learning Models Explained in 5 Minutes 3 APIs to Access Gemini 2.5

Machine Learning 302

Machine Learning Machine Learning Natural Language Processing Data Science 302

KDnuggets

JULY 7, 2025

These clients can include Python frameworks, desktop chatbots, VSCode extensions, agentic code editors, and CLI tools like Claude Code. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies.

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Natural Language Processing Machine Learning Machine Learning Data Science 344

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 300

Natural Language Processing Data Science Python Machine Learning 300

Data Science Dojo

NOVEMBER 25, 2024

In this blog, we’ll explore the concept of streaming Langchain, how to set it up, and why it’s essential for building responsive AI systems that react instantly to user input and real-time data. or later Install Langchain: Ensure that Langchain is installed in your Python environment.

AI 370

AI AI Predictive Analytics Python 370

KDnuggets

JULY 22, 2025

No Python or API wrangling needed - just a Sheets formula calling a model. With just a few lines of authentication code, you can run SQL queries right from a notebook and pull the results into a Python DataFrame for analysis. It provides a Python API intentionally similar to pandas.

Data Science 243

Data Science Natural Language Processing Machine Learning Machine Learning 243

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 226

Python Natural Language Processing Data Science Machine Learning 226

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.

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Natural Language Processing Data Science Machine Learning Machine Learning 259

Flipboard

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.

Data Science 171

Data Science Natural Language Processing Machine Learning Machine Learning 171

KDnuggets

JULY 15, 2025

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

Data Pipeline 273

Data Pipeline Natural Language Processing Data Science SQL 273

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 302

Natural Language Processing Data Science Machine Learning Machine Learning 302

Data Science Dojo

NOVEMBER 18, 2024

This blog post will walk you through the process of setting up and utilizing the Requests Toolkit with LangChain in Python. events is a Python generator object which you can invoke step by step in a for-loop, as it executes the next step in its process, every time the loop completes one iteration. This is a simple step.

Natural Language Processing 420

Natural Language Processing Python Data Science AI 420

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.

Data Quality 269

Data Quality Data Science Natural Language Processing Machine Learning 269

KDnuggets

JUNE 9, 2025

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

Natural Language Processing 306

Natural Language Processing Data Science Machine Learning Machine Learning 306

Pickl AI

JANUARY 5, 2025

Summary: Python exception handling is essential for managing errors during program execution. Introduction Python is a powerful programming language that allows developers to write code efficiently and effectively. However, writing code that runs without errors can be challenging. This is where exception handling comes into play.

Python 52

Python 52

AWS Machine Learning Blog

NOVEMBER 6, 2024

In this post, we explore a practical solution that uses Streamlit , a Python library for building interactive data applications, and AWS services like Amazon Elastic Container Service (Amazon ECS), Amazon Cognito , and the AWS Cloud Development Kit (AWS CDK) to create a user-friendly generative AI application with authentication and deployment.

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AWS Python AI AI 119

KDnuggets

JULY 11, 2025

Essential Prerequisites Building generative AI applications requires comfort with Python programming and basic machine learning concepts, but you dont need deep expertise in neural network architecture or advanced mathematics. Practice with conversation design and user experience considerations.

AI 328

AI AI Machine Learning Machine Learning 328

databricks

JULY 15, 2025

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

Azure 238

Azure Power BI ETL AI 238

Flipboard

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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Python Natural Language Processing Data Science Machine Learning 156

KDnuggets

JULY 21, 2025

And Why It Feels Clunky Sometimes) Matplotlib is the granddaddy of Python plotting libraries. Bookmark these resources to check out as you progress: Matplotlib Cheat Sheet (official quick-reference guides) Python Graph Gallery for inspiration Conclusion Matplotlib isn’t just a library — it’s a toolkit for storytelling.

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Natural Language Processing Data Science Machine Learning Machine Learning 200

KDnuggets

JUNE 23, 2025

A project contains: Source code : The Python scripts or notebooks for training and evaluation. Example MLproject file: name: my_ml_project conda_env: conda.yaml entry_points: main: parameters: data_path: {type: str, default: "data.csv"} epochs: {type: int, default: 10} command: "python train.py --data_path {data_path} --epochs {epochs}" 3.

Machine Learning 229

Machine Learning Machine Learning Natural Language Processing Data Science 229

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. First, install the Modal Python client. file and add the following code for: Defining a vLLM image based on Debian Slim, with Python 3.12

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Natural Language Processing Machine Learning Machine Learning Data Science 172

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.

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Natural Language Processing Data Science Python Machine Learning 194

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. While working full-time at Allianz Indonesia, he loves to share Python and data tips via social media and writing media. We can see an example of Jupyter Widgets below.

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Data Scientist Natural Language Processing Data Science Machine Learning 252

AWS Machine Learning Blog

OCTOBER 15, 2024

We’re excited to announce the release of SageMaker Core , a new Python SDK from Amazon SageMaker designed to offer an object-oriented approach for managing the machine learning (ML) lifecycle. The SageMaker Core SDK comes bundled as part of the SageMaker Python SDK version 2.231.0 or greater is installed in the environment.

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Python AWS ML ML 92

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

KDnuggets

JULY 7, 2025

Data Project - Uber Business Modeling We will use it with Jupyter Notebook, combining it with Python for data analysis. Now that you know how to run it in a Jupyter notebook, we’ll show only the SQL code from now on, and you’ll know how to convert it to the Pythonic version. So enough with the terms, let’s get started!

SQL 267

SQL Data Science Natural Language Processing Machine Learning 267

AWS Machine Learning Blog

NOVEMBER 22, 2024

In this post, we demonstrate how to use Amazon Bedrock with the AWS SDK for Python (Boto3) to programmatically incorporate FMs. Solution overview The solution uses an AWS SDK for Python script with features that invoke Anthropic’s Claude 3 Sonnet on Amazon Bedrock. By using this FM, it generates an output using a prompt as input.

AWS 101

AWS Python AI AI 101

Hacker News

APRIL 23, 2025

Python is one of the most widely adopted programming languages in the world. If you search for Top 10 Advanced Python Tricks on Google or any other search engine, youll find tons of blogs or LinkedIn articles going over trivial (but still useful) things like generators or tuples.

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Python 113

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 251

Data Science Natural Language Processing Python Machine Learning 251

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 234

Data Science Natural Language Processing Machine Learning Machine Learning 234

KDnuggets

JUNE 11, 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 Why You Need RAG to Stay Relevant as a Data Scientist How retrieval-augmented generation (RAG) reduces (..)

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Data Scientist Natural Language Processing Data Science Machine Learning 243