Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Economics & Finance
The flower dataset can be visualized with the help of the matplotlib library. The imshow method is used to display the image on the console. The entire dataset is iterated over, and only the first few images are displayed. Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks? We will be using the flowers dataset, which contains images of several thousands of flowers. It contains 5 sub-directories, and there is one sub-directory for every class. We are using the Google Colaboratory to run the below code. Google Colab or Colaboratory helps ... Read More
TensorFlow provides built-in utilities to work with image datasets. The flower dataset contains thousands of flower images organized into 5 classes: daisy, dandelion, roses, sunflowers, and tulips. This dataset is perfect for demonstrating image classification tasks. Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks? Loading the Flower Dataset First, we need to download and load the flower dataset. TensorFlow's get_file method downloads the dataset, and image_dataset_from_directory creates a dataset from the directory structure. import tensorflow as tf import pathlib # Download the flower dataset dataset_url = "https://storage.googleapis.com/download.tensorflow.org/example_images/flower_photos.tgz" ... Read More
The urllib.request module in Python provides a simple interface for accessing and opening URLs over the internet. This module is part of Python's standard library and supports various protocols including HTTP, HTTPS, and FTP. The primary function urlopen() makes it easy for beginners to fetch data from web resources, APIs, and other internet services. Getting Started The urllib library comes pre-installed with Python, so no separate installation is required. You can directly import and start using it in your scripts. import urllib.request Basic URL Opening The most common use case is opening and reading data from a URL. This ... Read More
Building a GUI calculator with tkinter is an excellent way to practice Python GUI development. This tutorial will guide you through creating a functional calculator with custom icons and a clean interface. Setup and Requirements First, install the required image processing library ? pip install Pillow For this project, you'll need calculator button icons. Create a folder structure like this ? +---Working Directory +---calculator.py +---assets +---Calculator ... Read More
The time library in Python is used to obtain time in the real world and perform various tasks related to it. You can even manipulate execution time using this module. Getting Started The time module comes packaged with Python. This means you do not have to install it separately using the PIP package manager. In order to use its various functions and methods, you must first import it ? import time Printing Current Local Time In order to print the current local time, we will be using the ctime() function. But ... Read More
The pydoc module automatically generates documentation from Python modules. The documentation can be displayed in the console, viewed in a web browser, or saved as HTML files. This built-in module helps developers access Python documentation offline and create their own documentation using docstrings. Getting Started The pydoc module comes pre-installed with Python, so no separate installation is required. You can import it directly ? import pydoc Accessing Interactive Help You can access the interactive help system using pydoc's help() function. This launches an interactive shell where you can search for documentation ? ... Read More
The pyperclip module allows you to programmatically copy and paste content to and from your system's clipboard. This cross-platform library works with both Python 2 and Python 3, making it useful for automation tasks and data manipulation workflows. Installation The pyperclip module is not included with Python by default. Install it using pip ? pip install pyperclip Once installed, import it into your Python script ? import pyperclip Copying Text to Clipboard Use the pyperclip.copy() function to copy text to your clipboard ? import pyperclip pyperclip.copy("Hello ... Read More
Sorting a DataFrame by a specific column is a common task in data analysis. Pandas provides the sort_values() method to sort DataFrames by one or more columns in ascending or descending order. Input DataFrame Let's start with a sample DataFrame containing Id and Name columns ? Id Name 0 1 Adam 1 2 Michael 2 3 David 3 4 Jack 4 5 Peter ... Read More
This tutorial shows how to write a Python function that accepts a DataFrame and calculates the mean and product of specific rows from Age and Salary columns using iloc for row slicing. Sample DataFrame Let's start with a sample DataFrame containing employee data ? import pandas as pd data = [[1, 27, 40000], [2, 22, 25000], [3, 25, 40000], [4, 23, 35000], [5, 24, 30000], [6, 32, 30000], [7, 30, 50000], [8, 28, 20000], [9, 29, 32000], [10, 27, 23000]] df = pd.DataFrame(data, columns=('Id', 'Age', 'salary')) print(df) ... Read More
When working with Pandas DataFrames, you often need to count rows that meet specific conditions. In this case, we'll count how many ages fall between 20 and 30 using the between() method. Sample DataFrame Let's start with a DataFrame containing ID and Age columns ? import pandas as pd data = {'Id': [1, 2, 3, 4, 5], 'Age': [21, 23, 32, 35, 18]} df = pd.DataFrame(data) print(df) Id Age 0 1 21 1 2 23 2 3 ... Read More