Create app.py

app.py

@@ -0,0 +1,44 @@
+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.")
+
+    st.markdown("Visualizing the progress:")
+    x = np.linspace(0, 10, 100)
+    y = np.sin(x)
+    plt.plot(x, y)
+    st.pyplot()
+    
+    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()