f = open('zen_of_python.txt', 'r')
print(f.read())
f.close()
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The Zen of Python, by Tim Peters
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
...
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with open('zen_of_python.txt') as f:
   print(f.read())
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The Zen of Python, by Tim Peters
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
...
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print("Filename is '{}'.".format(f.name))
if f.closed:
   print("File is closed.")
else:
   print("File isn't closed.")
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Filename is 'zen_of_python.txt'.
File is closed.
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f.read()
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---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_9828/3059900045.py in <module>
----> 1 f.read()
ValueError: I/O operation on closed file.
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with open('dataquest_logo.png', 'rb') as rf:
   with open('data_quest_logo_copy.png', 'wb') as wf:
       for b in rf:
           wf.write(b)
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with open('zen_of_python.txt') as f:
   print(f.read(17))
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The Zen of Python
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with open('zen_of_python.txt') as f:
   print(f.readline())
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The Zen of Python, by Tim Peters
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with open('zen_of_python.txt') as f:
   print(f.readline())
   print(f.readline())
   print(f.readline())
   print(f.readline())
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The Zen of Python, by Tim Peters
Beautiful is better than ugly.
Explicit is better than implicit.
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with open('zen_of_python.txt') as f:
   line = f.readline()
   while line:
       print(line, end='')
       line = f.readline()
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The Zen of Python, by Tim Peters
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!
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with open('zen_of_python.txt') as f:
   lines = f.readlines()
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print(type(lines))
print(lines)
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<class 'list'>
['The Zen of Python, by Tim Peters\n', '\n', 'Beaut...]
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print(lines)
print(lines[3:5])
print(lines[-1])
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['The Zen of Python, by Tim Peters\n', '\n', 'Beautiful is better than ugly.\n', ... -- let's do more of those!"]
['Explicit is better than implicit.\n', 'Simple is better than complex.\n']
Namespaces are one honking great idea -- let's do more of those!
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import csv
with open('chocolate.csv') as f:
   reader = csv.reader(f, delimiter=',')
   for row in reader:
       print(row)
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['Company', 'Bean Origin or Bar Name', 'REF', 'Review Date', 'Cocoa Percent', 'Company Location', 'Rating', 'Bean Type', 'Country of Origin']
['A. Morin', 'Agua Grande', '1876', '2016', '63%', 'France', '3.75', 'Â\xa0', 'Sao Tome']
['A. Morin', 'Kpime', '1676', '2015', '70%', 'France', '2.75', 'Â\xa0', 'Togo']
['A. Morin', 'Atsane', '1676', '2015', '70%', 'France', '3', 'Â\xa0', 'Togo']
['A. Morin', 'Akata', '1680', '2015', '70%', 'France', '3.5', 'Â\xa0', 'Togo']
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import csv
with open('chocolate.csv') as f:
   reader = csv.reader(f, delimiter=',')
   for row in reader:
       print("The {} company is located in {}.".format(row[0], row[5]))
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The Company company is located in Company Location.
The A. Morin company is located in France.
The A. Morin company is located in France.
The A. Morin company is located in France.
The A. Morin company is located in France.
The Acalli company is located in U.S.A..
The Acalli company is located in U.S.A..
The Adi company is located in Fiji.
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import csv
with open('chocolate.csv') as f:
   dict_reader = csv.DictReader(f, delimiter=',')
   for row in dict_reader:
       print("The {} company is located in {}.".format(row['Company'], row['Company Location']))
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The A. Morin company is located in France.
The A. Morin company is located in France.
The A. Morin company is located in France.
The A. Morin company is located in France.
The Acalli company is located in U.S.A..
The Acalli company is located in U.S.A..
The Adi company is located in Fiji.
...
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import json
with open('movie.json') as f:
   content = json.load(f)
   print(content)
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{'Title': 'Bicentennial Man', 'Release Date': 'Dec 17 1999', 'MPAA Rating': 'PG', 'Running Time min': 132, 'Distributor': 'Walt Disney Pictures', 'Source': 'Based on Book/Short Story', 'Major Genre': 'Drama', 'Creative Type': 'Science Fiction', 'Director': 'Chris Columbus', 'Rotten Tomatoes Rating': 38, 'IMDB Rating': 6.4, 'IMDB Votes': 28827}
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print(type(content))
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<class 'dict'>
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print('{} directed by {}'.format(content['Title'], content['Director']))
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Bicentennial Man directed by Chris Columbus
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