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. She enjoys reading, writing, coding, and coffee!

Python

KDnuggets

AUGUST 5, 2025

By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on August 5, 2025 in Python Image by Author | Ideogram # Introduction Picture this: youre working on a Python project, and every time you want to run tests, you type python3 -m pytest tests/ --verbose --cov=src. When you want to format your code, its black.

Python

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.

Data Pipeline

KDnuggets

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 (..)

Raw Data

KDnuggets

JULY 15, 2025

Recommended actions: Use orchestration tools like Airflow, Prefect, or Dagster to schedule and automate workflows Set up retry policies and alerts for failures Version your pipeline code and modularize for reusability 6. Streaming: Use tools like Kafka or event-driven APIs to ingest data continuously.

Data Ingestion

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

Data Science

databricks

AUGUST 7, 2025

The Python Data Source API integrates healthcare Python libraries into Spark, allowing single-step processing of compressed files instead of complex ETL pipelines with unzipping and UDFs. DICOM files contain a header section of rich metadata. There are over 4200 standard defined DICOM tags. core seconds per DICOM file.

Medical

KDnuggets

JULY 22, 2025

But what happens when your data is too big for a spreadsheet, or when you want to run a prediction without writing a bunch of code? No Python or API wrangling needed - just a Sheets formula calling a model. That same notebook environment can even act as an AI partner to help plan your analysis and write code.

Data Science

KDnuggets

AUGUST 4, 2025

In this article, we go over essential Python libraries that address the core challenges of MLOps: experiment tracking, data versioning, pipeline orchestration, model serving, and production monitoring. DVC fills this gap by tracking your data files and transformations separately while keeping everything synchronized with your code.

Python

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.

SQL

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.

Management

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!

Python

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.

Data

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

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.

Datasets

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. This makes your code more readable than using a standard tuple. This is especially useful for grouping items.

Data Science

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

Engineering at Meta

JANUARY 22, 2025

In order to build high-quality data lineage, we developed different techniques to collect data flow signals across different technology stacks: static code analysis for different languages, runtime instrumentation, and input and output data matching, etc. Hack, C++, Python, etc.) web endpoints, data tables, AI models) used across Meta.

Data Warehouse

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?

Python

ProjectPro

JULY 19, 2025

Learn to build no-code AI agents, automate tasks, and integrate tools visually using these real-world n8n templates and source code. n8n lets you combine the best of no-code automation with developer-grade power to build projects that really take off, from chatbot agents to marketing pipelines to data orchestration systems.

Coding

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.

Building

ProjectPro

JUNE 6, 2025

In this blog, you’ll build a complete ETL pipeline in Python to perform data extraction from the Spotify API, followed by data manipulation and transformation for analysis. In this blog, you’ll learn how to build ETL pipeline in Python, the language most loved by data engineers worldwide. Python fits that role perfectly.

Python

KDnuggets

JULY 25, 2025

First, we need to initialize the BigQuery client with the following code. from google.cloud import bigquery client = bigquery.Client() Then, lets query our dataset in the BigQuery table using the following code. Note that the following code will overwrite the destination table if it already exists, rather than appending to it.

Google Cloud

KDnuggets

AUGUST 4, 2025

hen, show most suitable visualizations for this dataset and explain why each was selected and produce the plots in this chat by running code on the dataset. You can install it by using this code. (60 Let’s start by installing it using the code below. Here is the output. We have six different graphs that we produced with ChatGPT.

Machine Learning

ProjectPro

JUNE 6, 2025

Data Warehouse Projects for Beginners From Beginner to Advanced level, you will find some data warehouse projects with source code, some Snowflake data warehouse projects, some others based on Google Cloud Platform (GCP), etc. Experience Hands-on Learning with the Best Azure Data Engineering Course and Get Certified!

Data Warehouse

ProjectPro

JUNE 6, 2025

It covers everything from interview questions for beginners to intermediate professionals, along with excellent coding and data science-related questions. Here are some common methods: From a List or NumPy array: You can create a Series from a Python list or a NumPy array. So, let’s get started!

Python

Cloudera

NOVEMBER 13, 2024

LLMs deployed as code assistants accelerate developer efficiency within an organization, ensuring that code meets standards and coding best practices. No-code, low-code, and all-code solutions. Fine Tuning Studio ships with a convenient Python client that makes calls to the Fine Tuning Studio’s core server.

Datasets

Pinterest Engineering

JUNE 24, 2025

User code and data transformation are abstracted so they can be easily moved to any other data processing systems. Design: Code Consolidation: Consolidated common code across teams, e.g. the dataset readers for Iceberg and Parquet.

Software Engineering

ProjectPro

JUNE 6, 2025

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization What do Data Engineers do? Good skills in computer programming languages like R, Python, Java, C++, etc. Here is a book recommendation : Python for Absolute Beginners by Michael Dawson.

Data Engineer

ProjectPro

JUNE 6, 2025

This blog will discover how Python has become an integral part of implementing data engineering methods by exploring how to use Python for data engineering. As demand for data engineers increases, the default programming language for completing various data engineering tasks is accredited to Python.

Data Engineer

Towards Data Science

DECEMBER 10, 2024

I thought a real engineer looks at logs, hard-to-read code, and whatever else made them look smart if someone ever glanced at their computerscreen. Thanks to Python, this can be achieved using a script with as few as 100 lines ofcode. If you know a bit of Python and LLM prompting you should be able to hack the code in an hour.

PostgreSQL

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.

Data Science

Engineering at Meta

JULY 23, 2025

We developed tools and APIs for developers to easily integrate Policy Zones, which automatically track and protect data flows by enforcing flow restrictions at runtime , to their code. The logger config code snippet above generates code that writes data to a corresponding Scribe message queue category from our web servers.

Systems

Snowflake

NOVEMBER 6, 2024

To address that, the Advisor360° analytics and insights team built a sentiment model from scratch, using highly specialized, Python-heavy code that would extract data and push it out to a file, then incorporate it into a dashboard. But, of course, the model required constant maintenance and updating.

Hospitality

Netflix Tech

DECEMBER 19, 2024

A natural solution is to make flows configurable using configuration files, so variants can be defined without changing the code. Unlike parameters, configs can be used more widely in your flow code, particularly, they can be used in step or flow level decorators as well as to set defaults for parameters.

Machine Learning

Snowflake

JANUARY 9, 2025

Customers can now access the most intelligent model in the Claude model family from Anthropic using familiar SQL, Python and REST API (coming soon) interfaces, within the Snowflake security perimeter. SQL and Python The model can be integrated into a data pipeline or a Streamlit in Snowflake app to process multiple rows in a table.

Unstructured Data

ProjectPro

JUNE 6, 2025

With Python libraries like Dash, Streamlit, and Plotly, building interactive dashboards is easier than ever. This blog will guide you through building dashboards in python that help users think less and understand more—just as our brains are designed to do! But why Python? Table of Contents Why Build Dashboards in Python?

Python