Minor changes

Author: stela2502

docs/05-dataframes.md

@@ -136,7 +136,7 @@ df2 = pd.DataFrame(
     index=genes,
     columns=samples
 )
-print(df)
+print(df2)
 ```
 ---
 

docs/06-subsetting.md

@@ -31,8 +31,9 @@ m = np.arange(1, 51).reshape((10, 5))
 
 df = pd.DataFrame(
     m,
-    index=["A","B","C","D","E","F","G","H","I","J"],
-    columns=["cat", "dog", "pig", "cow", "chicken"]
+    index=["GATA1", "SPI1", "RUNX1", "CEBPA", "TAL1",
+         "MPO", "KIT", "CD34", "LYZ", "IL7R"],
+    columns=["LTHSC_1", "LTHSC_2", "MEP_1", "MEP_2", "GMP_1"]
 )
 
 df
@@ -62,7 +63,7 @@ Specific elements:
 df.iloc[2, 3]
 ```
 
-Slice rows 3 to 7 (7 is excluded):
+Slice rows 3 to 8 (8 is excluded):
 
 ```python
 df.iloc[2:7, :]

docs/08-io.md

@@ -46,8 +46,9 @@ https://github.com/sccbioinformatics/Python_programming_1/blob/main/Mouse_HSPC_r
 # Reading a table
 
 ```python
+url = "https://raw.githubusercontent.com/shambam/R_programming_1/main/Mouse_HSPC_reduced.txt"
 hspc_data = pd.read_csv(
-    "Mouse_HSPC_reduced.txt",
+    url,
     sep="\t",
     header=0,
     index_col=0

docs/index.md

@@ -24,6 +24,11 @@ Install Miniconda from the official instructions:
 
 - Miniconda download + install guide: https://www.anaconda.com/docs/getting-started/miniconda/main
 
+**Hint** On windows the easiest is to using winget on the command line:
+- Open a terminal and install using ``winget install Miniconda3 Python.Python.3.10 ``
+
+
+
 After installation, open a terminal.
 
 ---
@@ -36,6 +41,12 @@ Create an environment (one time):
 conda create -n quarto.env python=3.10
 ```
 
+**Windows**
+```
+cd ~
+ .\miniconda3\_conda.exe create -n quarto.env python=3.10
+```
+
 Activate it:
 
 ```bash