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Jupyter Notebooks vs Python Scripts — What’s the Difference and When to Use Each?

Understanding the difference between using Jupyter Notebooks and Python scripts is crucial for beginners in coding.
Choosing between the two impacts your learning process, debugging efficiency, and the ease of sharing your work.
Jupyter Notebooks and Python scripts are compared in terms of functionality, use cases, and importance for beginners in this beginner-friendly guide.
This guide aims to clarify the distinction between Jupyter Notebooks and Python scripts with real-world examples and without using technical jargon.

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Dev

191

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How to Build a Payment Gateway with Django and PayPal: A Step-by-Step Guide

This article provides a step-by-step guide on building a Payment Gateway API using Django and PayPal, enabling secure online transactions.
The project uses minimal data, skips authentication for simplicity, and includes automated tests for efficient development.
Requirements include Python 3.12, Django 5.0.6, Django REST Framework 3.15.1, a PayPal Developer Account, PostgreSQL 16+, and Git.
Obtain PayPal credentials (Client ID and Secret) by creating an app in the PayPal Developer Portal and storing them securely in a .env file.
The project setup involves creating a Django project, configuring settings, setting up PostgreSQL, and defining the data model for payment transactions.
Endpoints are built to initiate, execute, cancel, and check payments, supported by serializers, views, and URLs.
Testing the API is crucial and can be done using test cases covering various scenarios such as payment creation, execution, cancellation, and handling errors.
The deployment process involves setting up CI/CD with GitHub Actions and deploying the project to Render, ensuring environment variables match the .env file.
Common pitfalls like PayPal errors and test failures are addressed, along with suggestions to prevent database issues by using PostgreSQL consistently.
Readers are encouraged to test the live Payment Gateway API functionality with sample data provided and explore further enhancements like frontend integration or refund features.

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Medium

135

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“A Day in the Life of a Mom Learning Data Science: The Honest, Real Journey of Restarting a Tech…

A mom shares her journey of learning Python, SQL, and Power BI from her kitchen table in between caring for her toddler.
She emphasizes on the importance of making progress, even if it's in short intervals, and finding motivation in small victories.
The mom highlights the necessity of showcasing real and imperfect stories of learning tech to inspire others and build a support network.
She encourages moms and career switchers to keep going, as the effort put into learning tech skills will lead to future opportunities and career freedom.

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Medium

340

Weekly Recap of Mr. EdgeLord

Week 2: Offline classes started, groups formed, and project robots assigned. Document created to track progress.
Week 3: Team started working on concept development, faced wiring issues, and learned the importance of careful assembly.
Week 4: Major problem with super glue damaging motor, solution found by purchasing new motors.
Week 5: Ensured all components worked well, designed robot layout, and focused on coding.

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Medium

231

The River Jordan

Potential earnings as a programmer are only limited by one's skill level, offering flexibility to work from any location and complete projects by deadlines.
The challenge identified is to learn a rare and difficult skill and remain humble to acquire knowledge from experienced developers.
Acknowledging past limitations due to overconfidence, the individual aims to evolve as a computer scientist by embracing wisdom from others in the industry.
Inspired by a quote from Lao Tzu, the individual aims to lead by example, putting oneself below others to eventually rise above in personal and professional growth.

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Dev

422

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Why trying to be clever is the fastest way to writing bad code

In programming, there are typically three types of developers: The Tourist, The Puzzle Master, and The Builder.
The Tourist is more interested in the lifestyle changes that programming can bring, such as better pay or remote work.
The Puzzle Master enjoys the challenge of solving complex problems and is attracted to the levels of abstraction in programming.
The Builder, passionate about creating things, focuses on practical solutions and enjoys the process of making stuff.
Trying to be clever in coding can lead to bad code as it hampers communication and readability for other developers.
Developers should aim for simplicity in their code to ensure that it is easily understood and maintained by others.
Puzzle masters, being naturally clever, should take extra time to simplify their solutions for better comprehension.
Collaboration and seeking input from colleagues can lead to finding simpler and more efficient solutions to coding challenges.
Refactoring complex solutions can save time and prevent future issues in maintaining codebases.
A group of developers discovered a simple solution through collaborative discussion, despite initially considering complex approaches.
Taking the time to simplify code can save effort and prevent complications in the long run.

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Dev

217

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Unsupervised Learning: Unveiling Hidden Patterns Through Clustering

Unsupervised learning, specifically clustering, reveals hidden patterns in data without predefined categories or targets.
Clustering algorithms group data points based on similarities, with popular techniques like K-means, hierarchical clustering, and DBSCAN.
Significance of clustering includes discovering patterns, reducing data dimensionality, improving data understanding, and enabling anomaly detection.
Applications range from customer segmentation to image and document clustering, with challenges including determining optimal clusters and addressing biases.

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Dev

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🔢Beginner-Friendly Guide "Maximum Difference Between Even and Odd Frequency II" LeetCode 3445 (C++ | JavaScript | Python)

The LeetCode problem 3445, 'Maximum Difference Between Even and Odd Frequency II,' involves finding the maximum difference between the frequencies of two characters in a substring of a given string of digits.
The task is to identify a substring of size at least k where one character has an odd frequency and the other has an even frequency, with the requirement to maximize the difference between their frequencies.
A strategy is devised to iterate over digit pairs, use prefix counts, maintain a window of at least size k with both characters present, and track frequency parity using a bitmasking approach.
The C++ solution involves sliding pointers to optimize substring selection and comparing frequencies to compute the maximum difference between even and odd frequency characters.
The JavaScript and Python versions follow a similar approach using different syntax, showing how the same logic can be implemented in multiple languages.
Test cases are provided to demonstrate the expected outputs based on different input scenarios.
The time complexity of the solution is O(n) due to iterating over fixed pairs of digits, and the space complexity is O(1) as it only uses fixed-sized counters and arrays.
This problem combines parity logic, prefix optimizations, and window comparisons, offering a challenging yet enriching experience in handling frequencies and substring conditions.
If the breakdown of this problem was beneficial, consider liking, saving, and following for more content to enhance your problem-solving skills.
Happy coding and exploring the intricacies of algorithms!

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Dev

431

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Stop the i, j, k Confusion: A Clearer Approach to Loop Index Naming

A proposed naming convention suggests using $1, $2, $3 for loop index variables according to the loop's depth to avoid confusion and enhance clarity.
Benefits of this convention include low cognitive load, immediate clarity on index variables, clear nesting hierarchy indication, prevention of variable name conflicts, and consistency in team development.
Comparison with traditional naming conventions highlights the improved clarity and understanding of loop nesting hierarchy with the proposed $1, $2, $3 method.
The application of this naming convention extends beyond JavaScript to other languages and fields, offering advantages in organizing loop indices and enhancing code quality in various programming scenarios.

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Medium

143

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Unlock Samsung Devices with Knox Off Firmware – Full Model List & Free Downloads

Knox Off firmware allows users to bypass Knox Guard, remove MDM locks, and disable payment service locks on Samsung devices.
Supported Samsung models, including Galaxy S Series, Galaxy Z Flip Series, and upcoming releases, have direct download links available.
Instructions on how to flash Knox Off firmware on Samsung devices include preparation steps and a detailed step-by-step guide for the flashing process.
For free downloads and firmware updates, users can access the resources through the provided Telegram channel and official website.

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Medium

257

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Drone Fleet Management & Geofencing via Smart Contracts

Drones are now essential for various applications like logistics, humanitarian aid, agriculture, and surveillance.
Managing numerous autonomous drones securely across different regions is a significant challenge, tackled by blockchain-based smart contracts.
The concept of Autonomous Drone Fleet Management with Smart Contracts involves enforcing tasks like delivery, pick-up, and geofencing through blockchain technology.
Ensuring secure autonomy, scalability, and neuroethical considerations are key aspects in the deployment of blockchain-based geofencing for drones.

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Dev

209

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Understanding List Comprehension in Python: A Cleaner Way to Build Lists

List comprehension in Python offers a cleaner and more concise way to work with lists.
It involves expressing operations like filtering, transforming, or skipping items in a single readable statement.
List comprehension has three main parts: expression, source, and an optional condition for filtering.
While list comprehension simplifies code for simple tasks, it may not be suitable for complex logic involving nested loops or multiple conditionals.

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Siliconangle

388

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Atlassian rival Linear raises $82M to expand developer tools and target enterprise adoption

Linear Orbit Inc., a competitor to Atlassian Corp., has raised $82 million in new funding to enhance its developer tools and target larger enterprise customers.
The funding round was raised on a valuation of $1.25 billion, with Linear offering issue-tracking and project management platform focusing on efficiency, clarity, and developer-first workflows.
Linear's platform features AI-assisted bug triage and sprint tools, along with a Triage system to efficiently manage incoming issues. It provides analytics tools for progress tracking and integrates with services like GitHub and Slack.
The Series C round was led by Accel Partners LP, with participation from existing investors 01A Advisors and Sequoia Capital Operations, and new investors Seven Seven Six and Designer Fund. Linear has raised a total of $134.2 million to date.

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Python Blogs

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The Ultimate Guide to the Best Review App for Shopify

Shopify store owners can build trust and increase conversions by showcasing real customer feedback through product reviews.
Review apps provide social proof, improve SEO, offer valuable feedback, and increase sales for Shopify businesses.
Key features to look for in a Shopify review app include photo & video reviews, email requests & automation, import capabilities, customizable widgets, moderation & filtering, multi-language support, and integrations.
Top review apps for Shopify in 2024 include Loox for photo reviews, Judge.me for detailed customization and unlimited reviews, and Yotpo for rich features and integrations.

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2 Likes

Dev

209

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No-Code Test Automation: A Dev's No-BS Guide 🤖

No-Code Test Automation platforms promise to build resilient tests faster, without coding.
Five tools are compared based on testing support, ease of use, AI capabilities, pipeline integration, and pricing.
Katalon is versatile, suitable for both junior QA and senior SDET, but can feel bloated.
Testim excels in web testing with AI-powered locators but lacks support for legacy or complex apps.
Leapwork offers a visual flowchart approach for complex business logic but is enterprise-focused with no free plan.
suittest stands out for being 100% visual, testing all platforms, helpful AI, smart data generation, and a functional free plan.
TestProject, once a popular free tool, shut down, leaving a gap and emphasizing the risks of relying on a single vendor-backed tool.
The article recommends Katalon for hybrid testing, Testim for front-end focus, Leapwork for complex enterprise apps, and suittest for a true no-code experience.
Choosing the right tool is crucial for efficient test automation and confident software shipping.
The article encourages trying different tools with free plans to find the one that best fits your team's needs.

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