Jagadeesh2411/Numpy_Notes

1import streamlit as st2 3# App Title4st.title("🚀 NumPy & Data Science Hub")5st.write("### Unlock Your Potential with NumPy and Data Science")6 7# Introduction Section: Introduction to NumPy8st.info("""9Welcome to the **NumPy & Data Science Hub**! Whether you're a **beginner** diving into the world of data manipulation with NumPy or an **expert** refining your skills, this platform offers hands-on tutorials, resources, and projects to enhance your knowledge.10""")11 12# Key Features Section13st.write("## 🌟 Key Features")14features = [15    "📚 **NumPy Fundamentals**: Master the core concepts of NumPy and its powerful array operations.",16    "🧑‍💻 **Hands-on Examples**: Implement various data manipulation techniques with code examples.",17    "📊 **Array Operations**: Learn advanced NumPy functions for efficient data processing.",18    "📈 **Data Science Projects**: Apply NumPy in real-world data science workflows.",19    "💡 **Interview Preparation**: Prepare for technical interviews with essential NumPy Q&A resources."20]21 22# Display Features as a List23for feature in features:24    st.markdown(f"- {feature}")25 26# Content Divider27st.markdown("---")28 29# Add a styled horizontal line30st.markdown("<hr style='border:1px solid #ddd;'>", unsafe_allow_html=True)31 32# About Author Section33st.write("## 👤 About the Creator")34st.markdown("""35**Hi there! 👋 I'm Mende Jagadeesh, a passionate AI enthusiast and Data Science professional.  36With a background in Machine Learning and Big Data Technologies, I specialize in:  37""")38 39# Skills Section in Columns40skills_col1, skills_col2 = st.columns(2)41 42with skills_col1:43    st.write("### Skills")44    st.write("""45    - Programming: **Python, R, SQL**  46    - Data Visualization: **Tableau, Power BI, Matplotlib**  47    - Machine Learning: **Scikit-Learn, TensorFlow**  48    - Data Manipulation: **NumPy, Pandas**  49    """)50 51# Social Links with Buttons52st.write("### 🌐 Connect with Me")53col1, col2, col3, col4 = st.columns(4)54 55with col1:56    st.markdown("<a href='https://www.linkedin.com/in/mende-jagadeesh-02922323a/' target='_blank'><button style='background-color: #0077b5; color: white; border: none; padding: 10px 20px; border-radius: 5px;'>LinkedIn</button></a>", unsafe_allow_html=True)57with col2:58    st.markdown("<a href='https://github.com/Jagadeesh2411' target='_blank'><button style='background-color: #333; color: white; border: none; padding: 10px 20px; border-radius: 5px;'>GitHub</button></a>", unsafe_allow_html=True)59with col3:60    st.markdown("<a href='mailto:jagadeesh.mende2401@gmail.com' target='_blank'><button style='background-color: #d14836; color: white; border: none; padding: 10px 20px; border-radius: 5px;'>Email Me</button></a>", unsafe_allow_html=True)61with col4:62    st.write("📞 **Contact Number**: 7032440692")63 64# Footer Section65st.markdown("---")66st.markdown("""67<center>68    <p style='font-size:14px; color:#888;'> © 2024 NumPy & Data Science Hub. All Rights Reserved. </p>69</center>70""", unsafe_allow_html=True)71