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import streamlit as st
import pandas as pd
import numpy as np
# Custom CSS for styling
custom_css = """
<style>
html, body, [data-testid="stAppViewContainer"] {
background-image: linear-gradient(
rgba(0, 0, 0, 0.6),
rgba(0, 0, 0, 0.6)
),
url("https://www.istockphoto.com/photo/tech-or-space-background-abstract-3d-illustration-gm1367865109-437999705?utm_source=pixabay&utm_medium=affiliate&utm_campaign=SRP_photo_sponsored&utm_content=https%3A%2F%2Fpixabay.com%2Fphotos%2Fsearch%2Fbackground%2520datascience%2F&utm_term=background+datascience.jpg");
background-size: cover;
background-position: center;
background-repeat: no-repeat;
background-attachment: fixed;
color: white; /* Ensures all text is readable */
}
h2, h3 {
color: #FFD700; /* Gold color for headings */
}
p {
color: #FFFFFF; /* White text for paragraphs */
}
</style>
"""
# Inject the CSS into the app
st.markdown(custom_css, unsafe_allow_html=True)
st.markdown("<h2 style='text-align: left; color: Black;'>📈What is Extensible Markup Language (XML)</h2>", unsafe_allow_html=True)
st.markdown(
"<p style='font-size: 16px; color: White; font-style: italic;'>"
"XML (Extensible Markup Language) is a versatile markup language used for storing and transferring data. It is designed to be easily understood by both humans and machines, making it a popular choice for data exchange across various systems. XML organizes information in a hierarchical tree structure, where elements are defined using tags that may include attributes and nested sub-elements."
"</p>",
unsafe_allow_html=True
)
st.markdown(
"<p style='font-size: 16px; color: White; font-style: italic;'>"
"Data should be retrieved from databases, and the entire code should be structured using tags, making it a markup-based code. Every tag opened at the beginning must be properly closed with the same tag at the end of the XML file."
"</p>",
unsafe_allow_html=True
)
st.markdown("<h2 style='text-align: left; color: Black;'>📈How to Read XML</h2>", unsafe_allow_html=True)
st.markdown(
"<p style='font-size: 16px; color: White; font-style: italic;'>"
"An XML file can be read using pandas by utilizing the function <code>pd.read_xml("file path")</code>."
"</p>",
unsafe_allow_html=True
)
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