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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 */
}
a {
color: #FFD700; /* Gold color for links */
text-decoration: none;
font-weight: bold;
}
a:hover {
text-decoration: underline;
}
</style>
"""
# Inject the CSS into the app
st.markdown(custom_css, unsafe_allow_html=True)
# Content
st.markdown("<h2 style='text-align: left; color: Black;'>📈What is CSV </h2>", unsafe_allow_html=True)
st.markdown(
"<p style='font-size: 16px; color: White; font-style: italic;'>"
"A CSV (Comma-Separated Values) file is a simple file format used to store tabular data, such as a spreadsheet or database. Each row in the file corresponds to a record, and each column is separated by a delimiter, typically a comma (,). CSV files are widely used because they are easy to create, parse, and manipulate."
"</p>",
unsafe_allow_html=True
)
st.markdown("<h2 style='text-align: left; color: Black;'>📈How to read CSV files</h2>", unsafe_allow_html=True)
st.markdown(
"<p style='font-size: 16px; color: White; font-style: italic;'>"
"CSV files can be read in various programming languages pandas in python, and Microsoft Excel application."
"</p>",
unsafe_allow_html=True
)
# Adding the Jupyter Notebook links
colab_link = "https://colab.research.google.com/drive/1Q8YudbojYI_m1ObYII4UYh9MGLyS42QT?usp=sharing"
st.markdown(
f"<a href='{colab_link}' target='_blank' style='font-size: 16px;'>Open Colab Notebook</a>",
unsafe_allow_html=True
)
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