diff --git a/ai-ollama.md b/ai-ollama.md
new file mode 100644
index 0000000..223fb75
--- /dev/null
+++ b/ai-ollama.md
@@ -0,0 +1,2 @@
+run llama code 7b in ollama"
+ollama run codellama:7b-code
\ No newline at end of file
diff --git a/linux/docker install.md b/linux/docker install.md
index 0a8d7c6..cac3c86 100644
--- a/linux/docker install.md	
+++ b/linux/docker install.md	
@@ -1,5 +1,7 @@
 # install
 sudo apt-get update
+sudo apt update
+sudo apt install gnupg
 sudo apt-get install apt-transport-https ca-certificates curl software-properties-common
 curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
 sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
diff --git a/python/population_plot.py b/python/population_plot.py
new file mode 100644
index 0000000..c101633
--- /dev/null
+++ b/python/population_plot.py
@@ -0,0 +1,39 @@
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Initial population at year 0
+initial_population = 1_000_000
+death_rate = 0.10
+
+# Start and stop years for the graph
+start_year = 4000
+stop_year = 10000
+interval = 500  # Interval for plotting data points
+
+# Initialize population calculations
+current_population = initial_population
+population_values = [initial_population]  # Include initial population as the first data point
+years = np.arange(0, stop_year + 1, 100)  # Calculate every 100 years
+
+# Apply the death rate for each 100-year period
+for year in years[1:]:
+    current_population -= death_rate * current_population
+    population_values.append(current_population)
+
+# Filter the years and population values for the graph
+graph_years = np.arange(start_year, stop_year + 1, interval)
+graph_population_values = [population for year, population in zip(years, population_values) if year >= start_year and year in graph_years]
+
+# Create the graph with labels for each data point
+plt.figure(figsize=(8, 6))
+plt.plot(graph_years, graph_population_values, marker='o', linestyle='-', color='b')
+plt.xlabel('Years')
+plt.ylabel('Population')
+plt.title(f'Population Projection from Year {start_year} to {stop_year}')
+
+# Adding labels to the data points
+for i, txt in enumerate(graph_population_values):
+    plt.annotate(f"{int(txt):,}", (graph_years[i], graph_population_values[i]), textcoords="offset points", xytext=(0,10), ha='center')
+
+plt.grid(True)
+plt.show()