In this tutorial we create a basic login form using Flask and Python. The form takes a username and password, checks the input against a hardcoded value, and displays a success or failure message based on whether the login is correct. This is a great starting point for understanding how authentication works in web apps. It …
How to build a simple login form using flask and python Read More »
Learn how to find and fix missing data in a Pandas DataFrame. Using simple methods like .isnull(), .isna(), fill missing values, or remove them to keep your data clean. Creating a DataFrame by loading csv file We can create DataFrame by loading csv file The given fruits1.csv file has missing values. Kindly observe the missing/NaN …
How to Identify and Handle Missing Values In a Pandas DataFrame Read More »
Hello Internet, today I am going to teach you how to work with python’s built-in-map and filter Function. When working with lists or other iterable data structures in Python, we often need to perform operations on every item or extract only the items that meet a certain condition. While loops and list comprehensions are popular …
Working with Python’s Built-in Map and Filter Functions Read More »
Hello Internet, in this tutorial we are going to use Python’s Itertools for Efficient Looping and Combinations. Python is known for its simplicity and powerful standard library. One of the hidden gems in this library is the itertools module — a treasure chest of fast, memory-efficient tools for looping, iteration, and combination generation. Whether you’re …
Using Python’s itertools for Efficient Looping and Combinations Read More »
Hello Internet, in this tutorial we are going to learn how to read and write csv files with the help of Pandas DataFrame. In the world of data analysis, working with structured datasets is essential, and CSV (Comma-Separated Values) files are one of the most common formats used for storing and exchanging tabular data. Whether …
Reading and Writing CSV Files with Pandas DataFrame Read More »
Overview: When we start a Machine Learning model, not all the features (columns) carry the same scale for example one feature might be in meters while the other is in kilometer. This creates an imbalance and confuses for the algorithms such as SVM and KNN. So, to handle these features we can use the Feature …
Feature Scaling: Standardization vs Normalization Read More »
Introduction Whenever we perform the real-world Machine Learning projects, Dealing with missing data is the first step. Datasets collected from various sources such as surveys, web scraping, Kaggle…. etc. often contain the missing or incomplete values in the dataset. So, in this blog I am going to perform various technique to handle the missing data. …
Introduction End-to-End Encryption (E2EE) ensures that data is encrypted by the sender and decrypted only by the receiver. This blog demonstrates how to implement secure encryption using the PyCryptodome library in Python. Table of Contents Introduction What is E2EE? Installing PyCryptodome AES Encryption Example Sample Code Use Cases Conclusion What is E2EE? End-to-End Encryption prevents …
Implementing End-to-End Encryption Using PyCryptodome Read More »
Introduction Decorators in Python are used to modify or extend the behavior of functions and methods. While basic decorators are useful, decorators with arguments unlock powerful patterns such as retry mechanisms, logging, and custom validations. Table of Contents Introduction Basics of Decorators Writing Decorators with Arguments Sample Code Use Cases Conclusion Basics of Decorators A …
Introduction In Python, classes themselves are objects. This opens the door for dynamic class creation during runtime using the built-in type() function. This powerful feature is useful for metaprogramming, plugin systems, and scenarios where class definitions are generated programmatically. Table of Contents Introduction What is type()? Creating a Class with type() Sample Code Use Cases …