| import streamlit as st | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| import os | |
| def move_needle_to_hero(): | |
| st.title("Moving the Needle from Zero to Hero in Data Science & Engineering") | |
| st.markdown("To become a proficient data scientist or engineer, focus on these key skills:") | |
| st.write("1. Mathematics and Statistics") | |
| st.write("2. Programming (Python recommended)") | |
| st.write("3. Data Analysis and Visualization") | |
| st.write("4. Machine Learning") | |
| st.write("5. Data Wrangling and Cleaning") | |
| st.write("6. Database Management") | |
| st.write("7. Communication and Presentation Skills") | |
| st.markdown("Stay current by:") | |
| st.write("1. Reading industry blogs and journals") | |
| st.write("2. Attending conferences and workshops") | |
| st.write("3. Networking with professionals in the field") | |
| st.markdown("Continuously practice and apply skills to real-world problems.") | |
| uploaded_file = st.sidebar.file_uploader("Upload a file", type=["csv", "txt"]) | |
| if uploaded_file is not None: | |
| st.sidebar.write("File uploaded:", uploaded_file.name) | |
| with open("uploaded_files.txt", "a") as f: | |
| f.write(f"{uploaded_file.name}\n") | |
| if os.path.exists("uploaded_files.txt"): | |
| st.sidebar.markdown("File History:") | |
| with open("uploaded_files.txt", "r") as f: | |
| file_list = f.readlines() | |
| for file in file_list: | |
| st.sidebar.write(file.strip()) | |
| if __name__ == "__main__": | |
| move_needle_to_hero() |