KDnuggets

APRIL 27, 2022

Solving the Python coding interview questions is the best way to get ready for an interview. That’s why we’ll lead you through 15 examples and five concepts these questions cover.

Python 160

Python Coding Data Science Data 160

Start Data Engineering

JANUARY 12, 2023

Introduction Sample project Code design patterns 1. Singleton, & Object pool patterns Python helpers 1. Functional design 2. Factory pattern 3. Strategy pattern 4. Dataclass 3. Context Managers 4. Testing with pytest 5.

Designing 147

Designing Coding Python Data Pipeline 147

Analytics Vidhya

FEBRUARY 6, 2023

The pattern is not an actual code but a template that can be used to solve problems in different situations. This ensures easy […] The post What are Data Access Object and Data Transfer Object in Python? Introduction A design pattern is simply a repeatable solution for problems that keep on reoccurring.

Accessible 239

Accessible Accessibility Python Database 239

KDnuggets

NOVEMBER 20, 2023

Ruff's 700+ built-in lint rules, reimplemented in Rust for speed, provide comprehensive linting and formatting to enforce clean and consistent Python code.

Coding 137

Coding Python Programming 137

KDnuggets

JANUARY 17, 2025

A not-to-be-missed list of elegant Python solutions to perform common programming and processing tasks in a single line of code.

Python 133

Python Coding Programming Process 133

Analytics Vidhya

JANUARY 30, 2023

Introduction Azure Functions is a serverless computing service provided by Azure that provides users a platform to write code without having to provision or manage infrastructure in response to a variety of events. Azure functions allow developers […] The post How to Develop Serverless Code Using Azure Functions?

Coding 245

Coding Database Management Process 245

KDnuggets

JUNE 27, 2024

This tutorial will teach you how to make Python function calls faster using cache decorators: functools.cache and functools.lru_cache.

Python 126

Python Coding 126

KDnuggets

JANUARY 31, 2025

Want to focus on writing useful Python applications without worrying about code quality? Let these tools do the heavy lifting for you!

Coding 111

Coding Python 111

KDnuggets

DECEMBER 18, 2024

Writing Python code thats clean and easy to understand isnt just for experts — learn how to avoid common pitfalls and write like a pro from the start!

Coding 112

Coding Python 112

KDnuggets

DECEMBER 13, 2024

Learn how to write and run effective unit tests in Python using PyTest, ensuring your code is reliable and bug-free.

Coding 108

Coding Python 108

Towards Data Science

JANUARY 30, 2025

That said, this tutorial aims to introduce airflow-parse-bench , an open-source tool I developed to help data engineers monitor and optimize their Airflow environments, providing insights to reduce code complexity and parsetime. Parsing occurs every time Airflow processes your Python files to build the DAGs dynamically.

Python 48

Python Coding Google Cloud Database 48

KDnuggets

FEBRUARY 26, 2024

Developers can modify a function's behavior using decorators, without changing its source code. This provides a concise and flexible way to enhance and extend the functionality of functions.

Coding 139

Coding Python IT 139

KDnuggets

MARCH 3, 2025

Want to write cleaner, efficient, and more Pythonic code? Learn to use these built-in Python decorators today.

Python 104

Python Coding 104

KDnuggets

SEPTEMBER 24, 2024

Running Python code directly in your browser is incredibly convenient, eliminating the need for Python environment setup and allowing instant code execution without dependency or hardware concerns. I am a strong advocate of using a cloud-based IDE for working with data, machine learning, and learning Python as a beginner.

Python 137

Python Machine Learning Coding Programming 137

KDnuggets

OCTOBER 11, 2022

The post explains three popular frameworks, PySpark, Dask, and Ray, and discusses various factors to select the most appropriate one for your project.

Coding 155

Coding Python Project 155

KDnuggets

APRIL 15, 2022

Here, five Python techniques to bring in your data are reviewed with code examples for you to follow. Data is the bread and butter of a Data Scientist, so knowing many approaches to loading data for analysis is crucial.

Python 160

Python Data Coding 160

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 130

Data Data Warehouse Coding Programming Language 130

KDnuggets

JUNE 6, 2022

You can't avoid learning Python if you work on machine learning problems. You need to know what other people's code means and you need to convey your ideas to them too.

Programming Language 159

Programming Language Machine Learning Python Programming 159

KDnuggets

SEPTEMBER 18, 2023

You can now run Python code in Excel to analyze data, build machine learning models, and create visualizations.

Python 159

Python Data Science Machine Learning Data 159

KDnuggets

JULY 3, 2024

Explore the simplicity and flexibility of duck typing in Python — where code adapts based on behavior, not rigid types!

Coding 132

Coding Python 132

Start Data Engineering

FEBRUARY 16, 2025

Python environment setup 3. Python test & debug 3. Introduction Whether you are setting up visual studio code for your colleagues or want to improve your workflow, tons of extensions are available. Introduction 2. VSCode Primer 4. Extensions overview 1. SQL Tools 5. Data Wrangler 7. autoDocstring 8. Rainbow csv 9.

Coding 130

Coding Data Engineering Data Engineer Engineering 130

Knowledge Hut

MAY 3, 2024

Any coding interview is a test that primarily focuses on your technical skills and algorithm knowledge. However, if you want to stand out among the hundreds of interviewees, you should know how to use the common functionalities of Python in a convenient manner. Before moving ahead, read about Self in Python and what is markdown !

Python 98

Python Coding Data Programming 98

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.

Cloud 332

Cloud AWS Metadata Cloud Computing 332

KDnuggets

NOVEMBER 7, 2024

Discover how to leverage Python's f-strings (formatted string literals) to write cleaner, more efficient, and more readable code.

Python 131

Python Coding 131

KDnuggets

APRIL 1, 2025

Not a fan of testing Python code? Take small steps today with these tips for writing better unit tests.

Python 81

Python Coding 81

KDnuggets

AUGUST 7, 2024

Want to write better Python code? Get one step closer with this tutorial on writing maintainable, faster, and memory-efficient Python code.

Python 123

Python Coding Data 123

KDnuggets

APRIL 23, 2024

Looking to level up your Python skills and ace coding interviews? Start practicing today on these platforms.

Python 136

Python Coding 136

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.

SQL 73

SQL Python Government Data Engineering 73

Snowflake

SEPTEMBER 18, 2023

Enter Streamlit Streamlit is an open-source library that turns Python scripts into shareable web apps in minutes. No front-end experience is needed and apps are written in pure Python. The left hand side shows the app code and the right hand side shows the app’s output. and become a part of the Streamlit Open source community.

Python 143

Python Building Cloud Amazon Web Services 143

Cloudyard

SEPTEMBER 2, 2024

Read Time: 1 Minute, 36 Second Snowflake’s support for Python stored procedures allows data engineers and scientists to leverage Python’s vast ecosystem directly within Snowflake. This capability enables advanced analytics, custom data processing, and seamless integration of Python libraries.

Python 97

Python Utilities Coding Data Engineering 97

KDnuggets

JULY 5, 2024

In this blog, we will define Pandas and provide an example of how you can vectorize your Python code to optimize dataset analysis using Pandas to speed up your code over 300x times faster.

Python 121

Python Datasets Coding 121

KDnuggets

FEBRUARY 19, 2024

To figure out, learn how to profile your Python code for memory usage using the memory-profiler package. So where did all the memory go?

Python 126

Python Coding 126

Snowflake

OCTOBER 23, 2023

One of our goals at Snowflake is to ensure we continue to deliver a best-in-class platform for Python developers. Snowflake customers are already harnessing the power of Python through Snowpark , a set of runtimes and libraries that securely deploy and process non-SQL code directly in Snowflake.

Python 141

Python Cloud Data Science Machine Learning 141

KDnuggets

NOVEMBER 20, 2023

List comprehensions in Python are super helpful one-liners. But if overused, they can make your code a pain to maintain. Here’s why.

Python 133

Python Coding 133

KDnuggets

SEPTEMBER 24, 2024

In Python, you can use exceptions to anticipate and handle errors that disrupt the normal flow of a program. While Python offers many built-in exceptions—common exceptions like ValueError, TypeError, and KeyError—there are cases where custom exceptions are necessary for handling unique error conditions specific to your application.

Python 120

Python Programming Coding 120

KDnuggets

OCTOBER 31, 2023

As a data scientist, is it worthwhile leveling up your Python skills? Dive into code comparisons across expertise levels & discover if "good enough" is really enough.

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Python Data Science Coding Data 134

Edureka

JANUARY 21, 2025

One of the most popular choices among developers is Flask, a Python framework that is both lightweight and flexible. This blog will explain a core web framework, go over the basics of Python and Flask, discuss its uses, show how popular it is, compare it to Django, and give you a general idea of the pros and cons of using Flask.

Python 52

Python Building Certification Database 52