Python basics - Day 20

DEV CommunityThursday, November 6, 2025 at 3:54:03 PM

Python basics - Day 20

On Day 20 of the Python basics course, learners are diving into the Python Standard Library by building a 'Utility Toolkit' that utilizes essential modules like math, random, datetime, time, and os. This hands-on project not only enhances coding skills but also empowers participants to leverage Python's built-in libraries effectively, making programming more efficient and enjoyable. Mastering these tools is crucial for anyone looking to advance their Python knowledge and tackle real-world problems.
— via World Pulse Now AI Editorial System

Was this article worth reading? Share it

Recommended Readings
Building Custom MCP Servers with Python: A Data Engineer's Guide 🛠️
PositiveArtificial Intelligence
The article discusses how the Model Context Protocol (MCP) revolutionizes the way data engineers connect AI assistants to data infrastructures. By eliminating the traditional method of exporting data to CSV files and manually uploading them, MCP allows for real-time AI queries that maintain context and freshness. This innovation is significant as it streamlines workflows, enhances efficiency, and ensures that AI systems have immediate access to the most relevant data, ultimately improving decision-making processes.
Bridging Scripts and Pipelines: The True DevOps Way to Context-Aware Automation
PositiveArtificial Intelligence
The article highlights the importance of merging Shell or Python scripts with CI/CD pipelines in DevOps for enhanced automation. By understanding the context in which each operates, teams can achieve greater efficiency and effectiveness in their workflows. This approach not only streamlines processes but also leverages the strengths of both scripting and pipeline automation, making it a significant step forward in the DevOps landscape.
80 Days of Python Challenges: How I Turned Consistency into Progress
PositiveArtificial Intelligence
In a recent personal journey, a programmer took on the challenge of coding in Python every day for 80 days, aiming to enhance their skills and share their progress with others. This initiative not only helped them improve their problem-solving abilities but also inspired others to adopt a consistent practice in learning programming. The story highlights the importance of dedication and routine in mastering new skills, making it a valuable lesson for anyone looking to grow in their coding journey.
Where You See a Fancy Fish, Engineers See Alan Turing’s Math
NeutralArtificial Intelligence
Engineers are drawing inspiration from the intricate patterns of fancy fish to explore mathematical concepts pioneered by Alan Turing. This intersection of biology and mathematics not only showcases the beauty of nature but also highlights the innovative ways engineers can apply these principles to technology and design. Understanding these patterns can lead to advancements in various fields, making this research significant for future developments.
Scraping TikTok Profiles and Videos with Python (Part 1)
NeutralArtificial Intelligence
In the first part of a series on scraping TikTok profiles and videos using Python, the article highlights the challenges posed by TikTok's JavaScript-heavy structure and strict rate limits. It emphasizes the advantages of using a web scraping API like HasData, which simplifies the process by managing proxy rotation and bypassing restrictions, ensuring users can access complete page content. This information is crucial for developers and data analysts looking to gather insights from TikTok without running into technical barriers.
Mastering Python’s Loop Else Block: A Beginner’s Guide to For and While Loops
PositiveArtificial Intelligence
This article introduces a unique aspect of Python programming that often surprises beginners: the use of an else block with loops. While for and while loops are fundamental for iteration, the addition of an else clause can enhance the functionality and clarity of your code. Understanding this feature not only helps in writing more efficient programs but also deepens your grasp of Python's capabilities, making it an essential read for anyone looking to master the language.
The Unseen Architecture of Python: Mastering Environments, Typing, and Memory
NeutralArtificial Intelligence
In the world of Python development, many developers rush through the initial setup of their projects, often overlooking the importance of properly managing environments, typing, and memory. This article emphasizes that while creating a directory and initializing a virtual environment may seem routine, these foundational steps are crucial for building resilient and scalable applications. By understanding and strategically choosing tools rather than relying on habit, developers can enhance their projects' effectiveness and longevity.
Master Python Web Scraping with 5 Real-World Projects
PositiveArtificial Intelligence
A new repository has been launched that offers a comprehensive guide to mastering Python web scraping through five real-world projects. This resource is perfect for anyone looking to enhance their skills in data extraction, API interaction, and data visualization. By providing hands-on experience, it empowers learners to tackle practical challenges and improve their programming capabilities, making it a valuable tool for both beginners and advanced users.