import h5py
filename = "file.hdf5"
with h5py.File(filename, "r") as f:
# List all groups
print("Keys: %s" % f.keys())
a_group_key = list(f.keys())[0]
# Get the data
data = list(f[a_group_key])
Here is what the above code is Doing:
1. Open the file in read-only mode.
2. List all the groups in the HDF5 file.
3. Get the data.
elements = [‘el1’, ‘el2’, ‘el3’, ‘el4’, ‘el5’] for el in elements[:]: #[:] shallow-copies the list if el.lower() in [‘el2’, ‘el3’, ‘el4’]: elements.remove(el) // elements -> [‘el1’, ‘el5′] Here is what the above code is Doing: 1. elements = [‘el1’, ‘el2’, ‘el3’, ‘el4’, ‘el5’] 2. for el in elements[:]: 3. if el.lower() in [‘el2’, ‘el3’, ‘el4’]:…
from collections import Counter def word_count(fname): with open(fname) as f: return Counter(f.read().split()) print(“Number of words in the file :”,word_count(“test.txt”)) Here is what the above code is Doing: 1. The open() function opens the file in read-only mode. 2. The read() method reads the entire file and returns it as a string. 3. The split() method…
import networkx as nx import numpy as np BG = nx.Graph() source = [‘s’] first = np.arange(3) second = np.arange(3, 8) BG.add_nodes_from(source, bipartite=0) BG.add_nodes_from(first, bipartite=1) BG.add_nodes_from(second, bipartite=2) source_first_edges = [] first_second_edges = [] for f in first: source_first_edges.append((‘s’, f)) for s in second: for f in first: first_second_edges.append((f, s)) BG.add_edges_from(source_first_edges) BG.add_edges_from(first_second_edges) nodes = BG.nodes() #…
# To save the model: from keras.models import save_model # you can write whatever you desire instead of ‘my_model’ # model = Your trained model model.save(‘my_model’) # To load the model: from keras.models import load_model reconstructed_model = load_model(“my_model”) Here is what the above code is Doing: 1. It saves the model’s architecture in a .json…
class YourForm(ModelForm): class Meta: model = YourModel fields = [‘pub_date’, ‘headline’, ‘content’, ‘reporter’] Here is what the above code is Doing: 1. It’s creating a ModelForm class called YourForm. 2. It’s telling Django that YourForm is a ModelForm, and that it should create a form from the YourModel model. 3. It’s telling Django which fields…
>>> from cryptography.fernet import Fernet >>> # Put this somewhere safe! >>> key = Fernet.generate_key() >>> f = Fernet(key) >>> token = f.encrypt(b”A really secret message. Not for prying eyes.”) >>> token ‘…’ >>> f.decrypt(token) ‘A really secret message. Not for prying eyes.’ Here is what the above code is Doing: 1. Generate a key…