Handling GET, POST, PUT, and DELETE Requests Manually in Django REST Framework
When building RESTful APIs, understanding how to manually handle HTTP methods like GET, POST, PUT, and DELETE is essential. While Django REST Framework (DRF) provides powerful abstractions like ModelViewSet, sometimes you need more control — …
Python while Loops – Repeating Tasks with Ease
Loops are a fundamental part of programming, allowing you to repeat a block of code as long as a condition is true. In Python, the while loop is one of two main loop types (the …
Refreshing JWT Tokens in Django with djangorestframework-simplejwt
Introduction: Why Token Refreshing Matters JWT (JSON Web Tokens) are commonly used for securing APIs in modern Django applications, especially with frontend frameworks like React, Vue, or mobile apps. However, access tokens expire quickly (usually …
Python MongoDB Tutorial – How to Create a Collection with PyMongo
MongoDB is a popular NoSQL database that stores data in flexible, JSON-like documents. In this tutorial, you’ll learn how to create a collection in MongoDB using Python and the PyMongo library, including best practices and …
Python DynamoDB: Update Items Using Boto3
Updating data in DynamoDB is a powerful operation that allows you to modify existing records based on their primary key (partition key + sort key, if any). With Python and Boto3, you can update attributes, …
Python MongoDB Tutorial – How to Drop a Collection Using PyMongo
In MongoDB, a collection is akin to a table in relational databases. There are times when you may want to delete a collection entirely — for example, during development, testing, or database cleanup tasks. In …
Python Set Methods: A Complete Guide with Examples
A set in Python is an unordered collection of unique elements. Sets are useful when you need to ensure all elements are distinct or when you need to perform mathematical set operations like union, intersection, …
Python NumPy: Zipf Distribution Explained
The Zipf distribution is a discrete power-law probability distribution that describes the frequency of events in many natural and social systems. It is named after George Zipf, who observed that word frequencies in natural language …
Python MySQL Tutorial – How to Create a Database Using Python
When building a data-driven application, the first step is often creating a database. Python, paired with MySQL, makes this process smooth and efficient. In this tutorial, you’ll learn how to create a MySQL database programmatically …
Python MSSQL: How to Use SQL JOIN Statements in Python with pyodbc
Combining data from multiple tables is a fundamental part of working with relational databases. In SQL, we use JOIN operations to bring together data that’s logically related but stored in separate tables. In this article, …
Mastering NumPy Array Indexing in Python: A Complete Guide
NumPy, short for Numerical Python, is a cornerstone of scientific computing in Python. One of its most powerful features is the ability to access and manipulate elements in arrays with ease and efficiency through indexing. …
Visualizing NumPy Data with Seaborn in Python
When working with numerical data in Python—especially using NumPy—visualization is essential to explore patterns, relationships, and trends. While matplotlib is powerful, Seaborn offers a simpler and more elegant interface for statistical plotting. In this article, …
Python MongoDB Tutorial – How to Create a Database with PyMongo
MongoDB is a popular NoSQL database that allows flexible, schema-less data storage using documents. In this tutorial, you'll learn how to create a MongoDB database using Python with the help of the PyMongo library. Table …
Python PostgreSQL – Bulk Insert from CSV File
Bulk inserting data from CSV files is a common and efficient method to load large datasets into PostgreSQL databases. This guide walks you through importing CSV data using two popular libraries: ✅ psycopg2 (COPY and …
Python NumPy ufunc: How to Create Your Own Universal Function
NumPy’s ufuncs (short for universal functions) are high-performance functions that operate on ndarray objects in an element-wise fashion. While NumPy includes many built-in ufuncs, it also allows you to create your own, enabling custom logic …