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Comprehensive Python Cheatsheet ===============================
Main ---- ```python if __name__ == '__main__': main() ```
List ---- ```python <list>[from_inclusive : to_exclusive : step_size] <list>.extend(<list>) <list>.sort() <list>.reverse() ```
```python sum(<list>) sorted_by_second = sorted(<list>, key=lambda tup: tup[1]) flattened_list = [item for sublist in <list> for item in sublist] ```
Dictionary ---------- ```python <dict>.items() <dict>.get(key, default) <dict>.setdefault(key, default) <dict>.update(<dict>) ```
```python collections.defaultdict(<type>) # Creates a dictionary with default values. dict(zip(keys, values)) # Initiates a dict from two lists. {k: v for k, v in <dict>.iteritems() if k in <list>} # Filters a dict by keys. ```
### Counter
```python >>> from collections import Counter >>> z = ['blue', 'red', 'blue', 'yellow', 'blue', 'red'] >>> Counter(z) Counter({'blue': 3, 'red': 2, 'yellow': 1}) ```
Set --- ```python <set> = set() <set>.add(<el>) <set>.update(<set>) <set>.union(<set>) <set>.intersection(<set>) <set>.difference(<set>) frozenset() # Is hashable and can be used as a key in dictionary. ```
### Frozenset
#### Is hashable and can be used as a key in dictionary:
```python <set> = frozenset() ```
Range ----- ```python range(to_exclusive) range(from_inclusive, to_exclusive) range(from_inclusive, to_exclusive, step_size) range(from_inclusive, to_exclusive, -step_size) ```
Enumerate --------- ```python for i, <el> in enumerate(<collection> [, i_start]) ```
Named Tuple ----------- ```python >>> TestResults = collections.namedtuple('TestResults', ['filed', 'attempted']) >>> a = TestResults(1, attempted=2) TestResults(filed=1, attempted=2) >>> a.filed 1 >>> getattr(a, 'attempted') 2 ```
Iterator -------- #### Skips first element:
```python next(<iter>) for element in <iter>: ... ```
#### Reads input until it reaches an empty line:
```python for line in iter(input, ''): ... ```
#### Same, but prints a message every time:
```python from functools import partial for line in iter(partial(input, 'Please enter value'), ''): ... ```
Generator --------- ```python def step(start, step): while True: yield start start += step ``` ```python stepper = step(10, 2) next(stepper) # 10 (, 12, 14, ...) ```
Type ---- ```python type(<el>) # <class 'int'>/<class 'str'>/... ``` ```python import numbers isinstance(<el>, numbers.Number) ```
String ------ ```python str.replace(text, old, new) <str>.isnumeric() <str>.split() <str>.strip() <str>.join(<list>) ```
### Print
```python print(<el> [, <el>, end='', sep='', file=<file>]) ```
### Regex
```python import re re.sub(<regex>, new, text) re.search(<regex>, text) ```
### Format
```python '{}'.format(<el> [, <el>, ...]) ```
```python {:min_width} # '<el> ' {:>min_width} # ' <el>' {:^min_width} # ' <el> ' {:_min_width} # '<el>____' {:.max_width} # '<e>' ``` ```python {:max_widht.min_width} # ' <e>' {:max_width.no_of_decimalsf} # ' 3.14' ```
```python >>> person = {'name': 'Jean-Luc', 'height': 187.1} >>> '{p[height]:.0f}'.format(p=person) '187' ```
### Text Wrap
```python import textwrap textwrap.wrap(text, width) ```
Random ------ ```python import random random.random() random.randint(from_inclusive, to_inclusive) random.shuffle(<list>) ```
Infinity -------- ```python float("inf") ```
Datetime -------- ```python import datetime now = datetime.datetime.now() now.month # 3 now.strftime('%Y%m%d') # 20180315 now.strftime('%Y%m%d%H%M%S') # 20180315002834 ```
Arguments --------- **"*" is the splat operator, that takes a list as input, and expands it into actual positional arguments in the function call:** ```python args = (1, 2) kwargs = {'x': 3, 'y': 4, 'z': 5} func(*args, **kwargs) ```
#### Is the same as:
```python func(1, 2, x=3, y=4, z=5) ```
Inline ------ ### Lambda
```python lambda: <return_value> lambda <argument1>, <argument2>: <return_value> ```
### Comprehension
```python [i+1 for i in range(10)] # [1, 2, ..., 10] [i for i in range(10) if i>5] # [6, 7, ..., 9] {i: i*2 for i in range(10)} # {0: 0, 1: 2, ..., 9: 18} (x+5 for x in range(0, 10)) # (5, 6, ..., 14) -> Generator ```
```python [i+j for i in range(10) for j in range(10)] ``` #### Is the same as:
```python out = [] for i in range(10): for j in range(10): out.append(i+j) ```
### Map, Filter, Reduce
```python map(lambda x: x+1, range(10)) # [1, 2, ..., 10] filter(lambda x: x>5, range(10)) # [6, 7, ..., 9] functools.reduce(combining_function, list_of_inputs) ```
### Any, All
```python any(el[1] for el in <collection>) ```
### If - Else
```python <expression_if_true> if <condition> else <expression_if_false> ```
Closure ------- ```python def multiply_closure(x): def wrapped(y): return x * y return wrapped
multiply_by_3 = multiply_closure(3) ```
#### Or:
```python from functools import partial partial(<function>, <argument>) ```
Decorator --------- ```python @closure_name def function_that_gets_passed_to_closure(): pass ```
#### Debugger example:
```python from functools import wraps
def debug(func): @wraps(func) # Needed for metadata copying (func name, ...). def wrapper(*args, **kwargs): print(func.__name__) return func(*args, **kwargs) return wrapper
@debug def add(x, y): return x + y ```
Class ----- ```python class <name>: def __init__(self, a): self.a = a def __repr__(self): return str({'a': self.a}) def __str__(self): return str(self.a) ```
### Enum
```python import enum class <enum_name>(enum.Enum): <name1> = <value1> <name2> = <value2> <name3> = enum.auto() # Can be used for automatic indexing. ... ```
```python <enum_name>.<name> # == <enum> <enum_name>(value) # == <enum> <enum>.name # == <name> <enum>.value # == <value> ```
```python Cutlery = Enum('Cutlery', ['knife', 'fork', 'spoon']) list(<enum_name>) # == [<enum1>, <enum2>, ...] random.choice(list(<enum_name>)) # == random <enum> ```
### Copy
```python import copy copy.copy(<object>) copy.deepcopy(<object>) ```
System ------
### Arguments
```python import sys sys.argv ```
### Read File
```python def read_file(filename): with open(filename, encoding='utf-8') as file: return file.readlines() ```
### Write to File
```python def write_to_file(filename, text): with open(filename, 'w', enconding='utf-8') as file: file.write(text) ```
### Execute Command
```python import os os.popen(<command>).read() ```
### Input
```python file_name = input('Enter a file name: ') ```
#### Prints lines until EOF:
```python while True: try: print(input()) except EOFError: break ```
JSON ---- ```python import json ```
### Read File
```python with open(file_name, encoding='utf-8') as file: return json.load(file) ```
### Write to File
```python with open(file_name, 'w', enconding='utf-8') as file: file.write(json.dumps(<object>)) ```
SQLite ------ ```python import sqlite3 db = sqlite3.connect(file_name) ```
### Read
```python cursor = db.execute(<query>) if cursor: cursor.fetchall() # Or cursor.fetchone() db.close() ```
### Write
```python db.execute(<query>) db.commit() ```
Exceptions ---------- ```python while True: try: x = int(input("Please enter a number: ")) break except ValueError: print("Oops! That was no valid number. Try again...") ```
Threading --------- ```python import threading ```
### Thread
```python thread = threading.Thread(target=<function>, args=(<first_arg>, )) thread.start() thread.join() ```
### Lock
```python lock = threading.Rlock() lock.acquire() lock.release() ```
Itertools --------- **Every function returns a generator and can accept any collection. If you want to print an output of generator, as in examples, you need to pass it to the list() function.**
```python from itertools import * ```
### Chain
```python >>> chain([1, 2], range(3, 5)) [1, 2, 3, 4] ```
### Combinations
```python >>> combinations("abc", 2) [('a', 'b'), ('a', 'c'), ('b', 'c')] ```
### Permutations
```python >>> permutations("abc", 2) [('a', 'b'), ('a', 'c'), ('b', 'a'), ('b', 'c'), ('c', 'a'), ('c', 'b')] ```
### Product
```python >>> list(product('ab', [1, 2])) [('a', 1), ('a', 2), ('b', 1), ('b', 2)] ```
### Compress
```python >>> compress("abc", [True, 0, 23]) ['a', 'c'] ```
### Count
```python >>> a = count(5, 2) >>> next(a), next(a) (5, 7) ```
### Cycle
```python >>> a = cycle("abc") >>> [next(a) for _ in range(10)] ['a', 'b', 'c', 'a', 'b', 'c', 'a', 'b', 'c', 'a'] ```
### Groupby
```python >>> a = [{"id": 1, "name": "bob"}, {"id": 2, "name": "bob"}, {"id": 3, "name": "peter"}] >>> {k: list(v) for k, v in groupby(a, key=lambda x: x["name"])} {'bob': [{'id': 1, 'name': 'bob'}, {'id': 2, 'name': 'bob'}], 'peter': [{'id': 3, 'name': 'peter'}]} ```
### Islice
```python islice([1, 2, 3], 1, None) [2, 3] ```
### Ifilter, imap and izip
**Filter, map and zip functions that return generators instead of iterators.**
Introspection and Metaprograming -------------------------------- #### Inspecting code at runtime and code that generates code. You can:
* **Look at the attributes** * **Set new attributes** * **Create functions dynamically** * **Traverse the parent classes** * **Change values in the class**
```python >>> class B: ... def __init__(self): ... self.a= 'sdfsd' ... self.b = 123324 >>> b = B() ```
### Getattr
```python >>> getattr(b, 'a') 'sdfsd' ```
#### Is the same as:
```python B.__getattribute__(b, 'a') ```
### Hasattr
```python >>> hasattr(b, 'c') False ```
### Setattr
```python >>> setattr(b, 'c', 10) ```
### Type
**Type is the root class. If only passed the object it returns it's type. Otherwise it creates a new class (and not the instance!):** ```python type(class_name, parents<tuple>, attributes<dict>) ```
```python >>> BB = type('B', (), {'a': 'sdfsd', 'b': 123324} >>> b = BB() ```
### MetaClass
#### Class that creates class:
```python def my_meta_class(name, parents, attrs): ... return type(name, parents, attrs) ``` #### Or:
```python class MyMetaClass(type): def __new__(klass, name, parents, attrs): ... return type.__new__(klass, name, parents, attrs) ```
### Metaclass Attr
**When class is created it checks if it has metaclass defined. If not, it recursively checks if any of his parents has it defined, and eventually comes to type:** ```python class BlaBla: __metaclass__ = Bla ```
Eval ---- ```python import ast import operator as op
# Supported operators
operators = {ast.Add: op.add, ast.Sub: op.sub, ast.Mult: op.mul, ast.Div: op.truediv, ast.Pow: op.pow, ast.BitXor: op.xor, ast.USub: op.neg}
def eval_expr(expr): return eval_(ast.parse(expr, mode='eval').body)
def eval_(node): if isinstance(node, ast.Num): # <number> return node.n elif isinstance(node, ast.BinOp): # <left> <operator> <right> return operators[type(node.op)](eval_(node.left), eval_(node.right)) elif isinstance(node, ast.UnaryOp): # <operator> <operand> e.g., -1 return operators[type(node.op)](eval_(node.operand)) else: raise TypeError(node) ```
```python >>> eval_expr('2^6') 4 >>> eval_expr('2**6') 64 >>> eval_expr('1 + 2*3**(4^5) / (6 + -7)') -5.0 ```
Libraries =========
Plot ---- ```python import matplotlib matplotlib.pyplot.plot(<data> [, <data>]) matplotlib.pyplot.show() matplotlib.pyplot.savefig(filename) ```
Web --- ```python import bottle import urllib ```
### Run
```python bottle.run(host='localhost', port=8080) bottle.run(host='0.0.0.0', port=80, server='cherypy') ```
### Static request
```python @route('/img/<image>') def send_image(image): return static_file(image, 'images/', mimetype='image/png') ```
### Dynamic request
```python @route('/<sport>') def send_page(sport): sport = urllib.parse.unquote(sport).lower() page = read_file(sport) return template(page) ```
### REST request
```python @post('/p/<sport>') def p_handler(sport): team = request.forms.get('team') team = urllib.parse.unquote(team).lower()
db = sqlite3.connect(conf.DB_PATH) p_h, p_a = get_p(db, sport, team) db.close()
response.headers['Content-Type'] = 'application/json' response.headers['Cache-Control'] = 'no-cache' return json.dumps([p_h, p_a]) ```
Curses ------ ```python import curses def main(): curses.wrapper(draw) def draw(screen): screen.clear() screen.addstr(0, 0, "Press ESC to quit.") while screen.getch() != 27: pass ```
#### Gets char from int:
```python chr(<int>) ```
Profile ------- #### Times execution of the passed code:
```python import timeit timeit.timeit('"-".join(str(n) for n in range(100))', number=10000) ``` #### Generates a PNG image of call graph and highlights the bottlenecks:
```python import pycallgraph graph = pycallgraph.output.GraphvizOutput() graph.output_file = get_file_name() with pycallgraph.PyCallGraph(output=graph): <code_to_be_profiled> ``` #### Utility code for unique PNG filenames:
```python def get_file_name(): return "{}-{}.png".format("profile", get_current_datetime_string())
def get_current_datetime_string(): now = datetime.datetime.now() return get_datetime_string(now)
def get_datetime_string(a_datetime): return a_datetime.strftime('%Y%m%d%H%M%S') ```
Audio ----- #### Saves list of floats of size 0 to 1 to a WAV file:
```python import wave, struct frames = [struct.pack("%dh"%(1), int((a-0.5)*60000)) for a in <list>] wf = wave.open(file_name, 'wb') wf.setnchannels(1) wf.setsampwidth(4) wf.setframerate(44100) wf.writeframes(b''.join(frames)) wf.close() ```
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