Python

import numpy as np

np.array()

np.logical_and()
np.logical_or()
np.logical_not()

np.nditer(my_array)

import matplotlib.pyplot as plt

plt.plot(x, y)
plt.scatter(x, y)

# Histogram. Default bins is 10
plt.hist(x)

# Labels
plt.xlabel('X-axis Label')
plt.ylabel('Y-axis Label')
plt.title('Plot title')
plt.text(x, y, 'Point label')

# Axes
plt.yticks([0, 2, 4, ..., 10],         # ticks
           ['0', '2', '4', ..., '10']) # tick labels

# Grid
plt.gird(True)

# Show plot
plt.show()

# Clear plot
plt.clf()

import pandas as pd

# Create dataframe from dictionary
df = pd.DataFrame(dict)
df.index = ["Label A", "Label B"]

# Create datafrom from CSV
df = pd.read_csv("path/to/data.csv", index_col = 0)

# Select column as series
df["column_name"]

# Select column as dataframe
df[["column_name"]]

# Select rows by slice
df[1:4] # start inclusive, end exclusive

# Select by label
df.loc["row_name"] # series
df.loc[[:, ["column_name", "column_name"]] # dataframe

# Select by position
df.iloc[[1, 2, 3], [0, 1]]

# Iteration
for label, row in df.iterrows():
    ...