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Update app.py

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  1. app.py +55 -48
app.py CHANGED
@@ -1,50 +1,57 @@
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  import streamlit as st
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- st.markdown("<h1 style='text-align: center; color: grey;'>Data Analysis With Python 🕵</h1>", unsafe_allow_html=True)
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-
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-
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-
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-
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- with st.container():
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- st.markdown("<h2 style='text-align: center; color: grey;'>About the web app </h2>", unsafe_allow_html=True)
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- st.markdown("""About the App
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- Welcome to Data Analysis Mastery with Python – your ultimate companion for mastering data analysis concepts through Python! Whether you're a student aiming to excel in your coursework or a professional seeking to enhance your data analysis skills,
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- this app is designed to cater to all your learning and revision needs.""")
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-
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- with st.container():
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- st.markdown("<h2 style='text-align: center; color: grey;'>Key Features:</h2>", unsafe_allow_html=True)
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-
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- st.markdown("""Comprehensive Notes:
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-
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- Dive into well-structured and detailed notes covering all essential data analysis concepts, from basic to advanced levels. Each topic is explained in simple, easy-to-understand language, ensuring you grasp the fundamentals and intricacies of data analysis.
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- Hands-On Code Examples:
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-
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- Learn by doing! Our app provides numerous code snippets and full-length examples to help you understand how to implement data analysis techniques using Python. Practice with real-world datasets to solidify your understanding.
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- Interactive Quizzes:
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-
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- Test your knowledge with a variety of quizzes designed to challenge your understanding and retention of data analysis concepts. Quizzes range from multiple-choice questions to coding challenges, catering to different levels of expertise.
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- Projects:
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-
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- Apply your skills to real-world problems with our curated list of projects. These projects are designed to help you build a portfolio of work, showcasing your ability to analyze data and derive meaningful insights.
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- Progress Tracking:
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-
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- Monitor your learning journey with our progress tracking feature. Set goals, complete quizzes and projects, and see how far you've come in mastering data analysis with Python.
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- Community and Support:
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-
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- Join a vibrant community of learners and professionals. Share your knowledge, ask questions, and collaborate on projects. Our support team and community members are here to help you succeed.
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- Why Choose Data Analysis Mastery with Python?
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-
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- Comprehensive Learning: Covering all key aspects of data analysis with Python, from basic concepts to advanced techniques.
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- Practical Approach: Focused on hands-on learning with ample opportunities to apply your knowledge through code examples, quizzes, and projects.
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- Flexible Learning: Suitable for both beginners and advanced learners, with content tailored to different levels of expertise.
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- Resource-Rich: A one-stop resource for all your data analysis learning needs, ensuring you have everything you need in one place.
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- Embark on your journey to becoming a data analysis expert with Data Analysis Mastery with Python. Start learning, practicing, and mastering the art of data analysis today!""")
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-
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- col1, col2, = st.columns(2,gap="small")
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-
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- with col1:
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- st.page_link("pages/Intro.py", label="Intro", icon="1️⃣")
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- with col2:
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- st.page_link("pages/RoadMap.py", label="Roadmap", icon="2️⃣",)
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-
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-
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  import streamlit as st
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Set the page configuration
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+ st.set_page_config(
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+ page_title="Data Analysis with Python",
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+ page_icon=":bar_chart:",
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+ layout="centered",
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+ initial_sidebar_state="expanded",
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+ )
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+
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+ # Custom CSS for a better theme
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+ st.markdown("""
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+ <style>
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+ .main {
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+ background-color: #f0f2f6;
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+ }
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+ .sidebar .sidebar-content {
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+ background-color: #ffffff;
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+ }
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+ </style>
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+ """, unsafe_allow_html=True)
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+
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+ # Title and subtitle
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+ st.title("Data Analysis with Python")
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+ st.subheader("Learn, Explore, and Master Data Analysis with Python")
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+
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+ # About the app section
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+ st.markdown("""
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+ ## About This App
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+
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+ Welcome to the **Data Analysis with Python** app! This platform is designed to help you learn, revise, and master data analysis concepts using Python. Whether you're a student or a professional, our app provides you with:
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+
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+ - **Comprehensive Notes**: Detailed explanations and notes on various data analysis topics.
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+ - **Code Examples**: Practical code snippets and examples to help you understand and implement data analysis techniques.
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+ - **Quizzes**: Test your knowledge with quizzes covering different aspects of data analysis.
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+ - **Projects**: Hands-on projects to apply what you've learned and gain practical experience.
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+
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+ ### Why Learn Data Analysis with Python?
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+
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+ Data analysis is a critical skill in today's data-driven world. Python is one of the most popular programming languages for data analysis due to its simplicity, readability, and powerful libraries such as pandas, NumPy, and matplotlib. By mastering data analysis with Python, you can:
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+ - **Extract Insights**: Analyze data to uncover trends, patterns, and insights that can drive decision-making.
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+ - **Enhance Skills**: Improve your programming and analytical skills, making you more competitive in the job market.
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+ - **Solve Problems**: Apply data analysis techniques to solve real-world problems across various domains.
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+
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+ ### App Features
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+
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+ - **Interactive Tutorials**: Step-by-step tutorials to guide you through data analysis concepts.
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+ - **Data Visualization**: Learn how to visualize data effectively to communicate your findings.
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+ - **Advanced Topics**: Dive into advanced topics like machine learning and big data analysis.
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+
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+ We hope you enjoy using this app and find it valuable in your learning journey. Happy analyzing!
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+ """)
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+
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+ # Footer
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+ st.markdown("---")
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+ st.markdown("© 2024 Data Analysis with Python. All rights reserved.")