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.
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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.
KDnuggets
FEBRUARY 11, 2022
Here are a few approaches that I have settled on for managing my own reusable Python code as a data scientist, presented from most to least general code use, and aimed at beginners.
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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.
Tweag
MARCH 13, 2023
It is a truth universally acknowledged that the Python packaging ecosystem is in need of a good dependency checker. If you work with Python, and care about keeping your projects lean and repeatable, then this is for you. The dependency is now installed in your Python virtual environment or on your system. 3rd-party imports).
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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.
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.
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.
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.
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.
KDnuggets
NOVEMBER 21, 2023
Are you a programmer looking to get better at Python? Learn some of Python’s features that’ll help you write more elegant and Pythonic code.
KDnuggets
AUGUST 12, 2024
Why NumPy is significantly faster than standard Python code execution.
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?
KDnuggets
MAY 17, 2024
Optimize Your Python Workflow: Proven Techniques for Crafting Production-Ready Code
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.
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.
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!
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.
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.
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.
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!
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.
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.
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.
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.
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.
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.
KDnuggets
SEPTEMBER 18, 2023
You can now run Python code in Excel to analyze data, build machine learning models, and create visualizations.
KDnuggets
MARCH 3, 2025
Want to write cleaner, efficient, and more Pythonic code? Learn to use these built-in Python decorators today.
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.
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.
KDnuggets
JULY 3, 2024
Explore the simplicity and flexibility of duck typing in Python — where code adapts based on behavior, not rigid types!
KDnuggets
NOVEMBER 7, 2024
Discover how to leverage Python's f-strings (formatted string literals) to write cleaner, more efficient, and more readable code.
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.
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 !
KDnuggets
APRIL 23, 2024
Looking to level up your Python skills and ace coding interviews? Start practicing today on these platforms.
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.
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.
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.
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.
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.
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.
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.
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?
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.
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