Riley Thomas
Author's posts
May 02
How to Deploy a Python Web App to AWS Using Elastic Beanstalk
The First Step Toward Production Deployment Deploying a Python web app is a crucial step in the development process. After building and testing your app locally, the next move is to bring it to production. This is where AWS Elastic Beanstalk comes in—a simple deployment solution that doesn’t require deep knowledge of infrastructure. Elastic Beanstalk …
Apr 30
Connecting a Python Web App to a Database with SQLAlchemy
Why Database Connection Matters Behind every smoothly functioning web app is a solid database. In Python, there are many ways to interact with a database, but SQLAlchemy is one of the most popular choices. It’s not only easy to use—it also gives you control and clarity in every query your application makes. A proper database …
Apr 28
How to Automate Cloud Storage Backups with Python
Simplifying Backups with Automation Not all files need to be backed up daily, but important documents and project data should never be neglected. For users of cloud storage platforms like Google Drive, Dropbox, or Amazon S3, having an automatic backup system offers peace of mind. With Python, you can build a script that regularly backs …
Apr 26
Building a Web Automation Bot with Python and Selenium
Using Automation for Online Tasks Many tasks on the internet are repetitive—from filling out forms to downloading reports. With the help of Python and Selenium, you can build a bot that automates these processes. It’s an effective way to save time and avoid manually clicking through a browser. Selenium is used to control a web …
Apr 23
Handling PST Time in Python with pytz Library
Using the correct timezone in programming When building applications, accurate time management is crucial. If you have users across different parts of the world, the system needs to follow the correct time zone. Pacific Standard Time (PST) is one of the commonly used zones, especially for users in California and surrounding regions. That’s why when …
Apr 21
How to Use Python’s Built-in Map and Filter Functions
Making data processing faster and cleaner with Python’s functional programming tools When processing lists of data in Python, there are times you need to transform each item or select only specific parts. Instead of writing lengthy loops, there’s a cleaner and more elegant way—the built-in map() and filter() functions. These tools help make your code …
Apr 19
Using Functions and Lambda Expressions in Python
The Primary Role of Functions in Python Programming A function is a block of code used to perform a specific task whenever needed. Instead of writing the same lines of code repeatedly, you put them into a function to make your code cleaner and easier to understand. In Python, creating a function is simple and …
Apr 17
How to Cluster Data in Python with K-Means
Using K-Means clustering to find structure and meaning in raw datasets In the world of data science, there are times when simple analysis isn’t enough. You need to uncover hidden patterns or groupings behind the numbers. This is where clustering comes in—a machine learning technique that identifies natural groupings in data. In Python, one of …
Apr 15
Working with Geospatial Data in Python Using GeoPandas
Making spatial data analysis easier with Python and the GeoPandas library Many data scientists and developers deal with geographic data in their projects. From mapping locations to analyzing routes or boundaries, the right tools are essential for working with this kind of information efficiently. This is where GeoPandas comes in—a Python library designed to simplify …
Apr 13
Integrating Payment Gateways in Python with Stripe API
Why Stripe is a Go-To Payment Solution for Python Developers Many developers choose Stripe as their payment gateway because it’s easy to use and well-documented. For Python-based applications, integration is simple using the official stripe package, which is easy to install and configure. For any online store or digital service, smooth payment processing is key …