Initial commit

Author: Chris R. Albon

Python3.sublime-build.md

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+# To make Python3 work with sublimetext
+
+# 1. Go to tools/build system/build new system
+
+# 2. Paste in this (if you have Anaconda installed)
+
+{
+    "cmd":  ["/Users/chrisralbon/anaconda/envs/python3/bin/python3", "-u", "$file"],
+    "file_regex": "^[ ]*File \"(...*?)\", line ([0-9]*)",
+    "selector": "source.python"
+}
+

README.md

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+code_py
+=======
+
+Some well commented code snippits in (mostly) Python 3

ipython-run-terminal.md

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+# Running iPython with Anaconda's Python 3
+
+1. Open the terminal
+
+2. Run:
+
+export PATH=/Users/chrisralbon/anaconda/envs/py3k/bin:$PATH
+ipython notebook
+
+# How to install a module, in this case pandas
+
+export PATH=/Users/chrisralbon/anaconda/envs/py3k/bin:$PATH
+pip install pandas 
+
+# To make Python3 work with sublimetext
+
+1. Go to tools/build system/build new system
+
+2. Paste in this (if you have Anaconda installed)
+
+{
+	"cmd":  ["/Users/chrisralbon/anaconda/envs/py3k/bin/python3", "-u", "$file"],
+	"file_regex": "^[ ]*File \"(...*?)\", line ([0-9]*)",
+	"selector": "source.python"
+}

simulated-dataframe.py

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+# Create a simple dataframe with simulated values
+
+# Import pandas and numpy
+import pandas as pd
+import numpy as np
+
+# Create a dataframe of 3 columns of 8 random values. 
+# The dataframe has row index (i.e. row names) of dates and the column names A, B, and C
+df = pd.DataFrame(np.random.randn(100, 3), index=pd.date_range('1/1/2000', periods=100), columns=['A', 'B', 'C'])
+
+# View the dataframe
+print(df)
+
+# View the value in the 1st row and the "A" column
+print(df['A'][0])

test.py

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+# Test script to check the right environment is being used and one of the data science modules is installed
+
+# Import sys module
+import sys
+
+# Print the path to the Python environment
+print(sys.executable)
+
+# Run a quick test to see if numpy module is installed
+import numpy as np
+arr = np.arange(100)
+print(arr)
+
+# Run a quick test to see if pandas module is installed
+import pandas as pd
+df = pd.DataFrame(np.random.randn(8, 3), index=pd.date_range('1/1/2000', periods=8), columns=['A', 'B', 'C'])
+print(df)
+
+# View the first 4 rows
+print(df[0:4])