Einführung in Python
Hugo Bowne-Anderson
Data Scientist at DataCamp
Funktionen und Methoden sind mächtig
Der gesamte Code in der Python-Distribution?
Riesige Codebasis: unübersichtlich
Eine Menge Code, den du nicht benutzen wirst
Wartungsproblematik
Verzeichnis von Python-Skripten
Jedes Skript = Modul
Geben Funktionen, Methoden und Typen an
Tausende Pakete verfügbar
NumPy
Matplotlib
scikit-learn
https://pip.pypa.io/en/stable/installation/
Lade get-pip.py herunter
get-pip.py
Terminal:
python3 get-pip.py
pip3 install numpy
import numpy array([1, 2, 3])
import numpy
array([1, 2, 3])
NameError: name 'array' is not defined
numpy.array([1, 2, 3])
import numpy as np np.array([1, 2, 3])
import numpy as np
np.array([1, 2, 3])
from numpy import array array([1, 2, 3])
from numpy import array
my_script.py
from numpy import array fam = ["liz", 1.73, "emma", 1.68, "mom", 1.71, "dad", 1.89] ... fam_ext = fam + ["me", 1.79] ... print(str(len(fam_ext)) + " elements in fam_ext") ... np_fam = array(fam_ext)
fam = ["liz", 1.73, "emma", 1.68, "mom", 1.71, "dad", 1.89] ...
fam_ext = fam + ["me", 1.79] ...
print(str(len(fam_ext)) + " elements in fam_ext") ...
np_fam = array(fam_ext)
import numpy as np fam = ["liz", 1.73, "emma", 1.68, "mom", 1.71, "dad", 1.89] ... fam_ext = fam + ["me", 1.79] ... print(str(len(fam_ext)) + " elements in fam_ext") ... np_fam = np.array(fam_ext) # Clearly using NumPy
import numpy as np fam = ["liz", 1.73, "emma", 1.68, "mom", 1.71, "dad", 1.89] ...
np_fam = np.array(fam_ext) # Clearly using NumPy
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