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Comprehensive Python Cheatsheet ===============================
![Monty Python](web/image_888.jpeg)
Main ---- ```python if __name__ == '__main__': main() ```
List ---- ```python <list>[from_inclusive : to_exclusive : step_size] <list>.append(<el>) <list>.extend(<list>) <list>.sort() <list>.reverse() <list> = sorted(<list>) <iter> = reversed(<list>) ```
```python sum_of_elements = sum(<list>) elementwise_sum = [sum(pair) for pair in zip(list_a, list_b)] sorted_by_second = sorted(<list>, key=lambda el: el[1]) sorted_by_both = sorted(<list>, key=lambda el: (el[1], el[0])) flattened_list = [item for sublist in <list> for item in sublist] list_of_chars = list(<str>) product_of_elems = functools.reduce(lambda out, x: out * x, <list>) ```
```python index = <list>.index(<el>) # Returns first index of item. <list>.insert(index, <el>) # Inserts item at index and moves the rest to the right. <el> = <list>.pop([index]) # Removes and returns item at index or from the end. <list>.remove(<el>) # Removes first occurrence of item. <list>.clear() # Removes all items. ```
Dictionary ---------- ```python <view> = <dict>.keys() <view> = <dict>.values() <view> = <dict>.items() <value> = <dict>.get(key, default) # Returns default if key does not exist. <value> = <dict>.setdefault(key, default) # Same, but also adds item to dict. <dict>.update(<dict>) ```
```python collections.defaultdict(<type>) # Creates a dictionary with default values of type. collections.OrderedDict() # Creates ordered dictionary. dict(<list>) # Initiates a dict from list of key/value pairs. dict(zip(keys, values)) # Initiates a dict from two lists. {k: v for k, v in <dict>.items() 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> = <set>.union(<set>) <set> = <set>.intersection(<set>) <set> = <set>.difference(<set>) <bool> = <set>.issubset(<set>) <bool> = <set>.issuperset(<set>) ```
### Frozenset
#### Is hashable and can be used as a key in dictionary:
```python <frozenset> = frozenset(<collection>) ```
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 >>> Point = collections.namedtuple('Point', ['x', 'y']) >>> a = Point(1, y=2) Point(x=1, y=2) >>> a.x 1 >>> getattr(a, 'y') 2 >>> Point._fields ('x', 'y') ```
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 --------- **Convenient way to implement the iterator protocol.**
```python def step(start, step): while True: yield start start += step ``` ```python >>> stepper = step(10, 2) >>> next(stepper), next(stepper), next(stepper) (10, 12, 14) ```
Type ---- ```python type(<el>) # <class 'int'> / <class 'str'> / ... ``` ```python import numbers isinstance(<el>, numbers.Number) # Integral, Real, Rational, Complex callable(<el>) # Is element a function ```
String ------ ```python <str> = <str>.replace(old_str, new_str) <list> = <str>.split(sep=None, maxsplit=-1) # Splits on whitespaces. <str> = <str>.strip('<chars>') <str> = <str>.join(<list>) <bool> = <str>.startswith(<str>) # Pass tuple of strings for multiple options. <bool> = <str>.endswith(<str>) # Pass tuple of strings for multiple options. <bool> = <str>.isnumeric() # True if str contains only numeric characters. <int> = <str>.index(<sub_str>) # Returns first index of substring. <str> = chr(<int>) # Converts int to unicode char. <int> = ord(<str>) # Converts unicode char to int. ```
### Print
```python print(<el_1> [, <el_2>, end='', sep='', file=<file>]) # Use 'file=sys.stderr' for err. ```
### Regex
```python import re <str> = re.sub(<regex>, new, text, count=0) # Substitutes all occurrences. <list> = re.findall(<regex>, text) <list> = re.split(<regex>, text, maxsplit=0) # Use brackets in regex to keep the matches. <Match> = re.search(<regex>, text) # Searches for first occurrence of pattern. <Match> = re.match(<regex>, text) # Searches only at the beginning of the string. <Match_iter> = re.finditer(<regex>, text) # Searches for all occurences of pattern. ```
* **Parameter 'flags=re.IGNORECASE' can be used with all functions. Parameter 'flags=re.DOTALL' makes dot also accept newline.** * **Use '\\\\1' or r'\1' for backreference.** * **Use ? to make operators non-greedy.**
#### Match object:
```python <str> = <Match>.group() # Whole match. <str> = <Match>.group(1) # Part in first bracket. <int> = <Match>.start() # Start index of a match. <int> = <Match>.end() # Exclusive end index of a match. ```
#### Special sequences:
```python # Use capital letter for negation.
'\d' == '[0-9]' # Digit '\s' == '[ \t\n\r\f\v]' # Whitespace '\w' == '[a-zA-Z0-9_]' # Alphanumeric ```
### Format
```python '{}'.format(<el_1> [, <el_2>, ...]) ```
```python {:min_width} # '<el> ' {:>min_width} # ' <el>' {:^min_width} # ' <el> ' {:_<min_width} # '<el>____' {:.max_width} # '<e>' {:max_width.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' >>> f"{person['height']:.0f}" '187' ```
#### Binary, at least 10 spaces wide, filled with zeros:
```python >>> f'{123:010b}' '0001111011' ```
#### Integer presentation types:
* `b` - Binary * `c` - Character * `o` - Octal * `x` - Hex * `X` - HEX
### Text Wrap
```python import textwrap textwrap.wrap(text, width) ```
Numbers -------
### Basic Functions
```python round(<num> [, ndigits]) abs(<num>) math.pow(x, y) # Or: x**y ```
### Constants
```python from math import e, pi ```
### Trigonometry
```python from math import cos, acos, sin, asin, tan, atan, degrees, radians ```
### Logarithm
```python from math import log, log10, log2 log(x [, base]) # Base e, if not specified. log10(x) # Base 10. log2(x) # Base 2. ```
### Infinity, nan
```python from math import inf, nan, isfinite, isinf, isnan ```
#### Or:
```python float('inf'), float('nan') ```
### Random
```python import random <float> = random.random() <int> = random.randint(from_inclusive, to_inclusive) <el> = random.choice(<list>) random.shuffle(<list>) ```
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) ```
#### Splat operator can also be used in function declarations:
```python def add(*a): return sum(a) ```
```python >>> add(1, 2, 3) 6 ```
#### And in some other places:
```python >>> a = (1, 2, 3) >>> [*a] [1, 2, 3] ```
```python >>> head, *body, tail = [1, 2, 3, 4] >>> body [2, 3] ```
Inline ------ ### Lambda
```python lambda: <return_value> lambda <argument_1>, <argument_2>: <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(lambda sum, x: sum+x, range(10)) # 45 ```
### Any, All
```python <bool> = any(el[1] for el in <collection>) ```
### If - Else
```python <expression_if_true> if <condition> else <expression_if_false> ```
```python >>> [a if a else 2 for a in [0, 1, 0, 3]] [2, 1, 2, 3] ```
### Namedtuple, Enum, Class
```python from collections import namedtuple Point = namedtuple('Point', 'x y')
from enum import Enum Direction = Enum('Direction', 'n e s w') Cutlery = Enum('Cutlery', {'knife': 1, 'fork': 2, 'spoon': 3})
# Warrning: Objects will share the objects that are initialized in the dict!
Creature = type('Creature', (), {'position': Point(0, 0), 'direction': Direction.n}) ```
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>, <arg_1> [, <arg_2>, ...]) ```
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 __str__(self): return str(self.a) def __repr__(self): return str({'a': self.a}) # Or: return f'{self.__dict__}'
@classmethod def get_class_name(cls): return cls.__name__ ```
### Enum
```python from enum import Enum, auto class <enum_name>(Enum): <member_name_1> = <value_1> <member_name_2> = <value_2>, <value_2b> <member_name_3> = auto() # Can be used for automatic indexing. ...
@classmethod def get_names(cls): return [a.name for a in cls.__members__.values()]
@classmethod def get_values(cls): return [a.value for a in cls.__members__.values()] ```
```python <member> = <enum>.<member_name> <member> = <enum>['<member_name>'] <member> = <enum>(<value>) <name> = <member>.name <value> = <member>.value ```
```python list(<enum>) # == [<member_1>, <member_2>, ...] list(a.name for a in <enum>) # == ['<member_name_1>', '<member_name_2>', ...] random.choice(list(<enum>)) # == random <member> ```
#### Inline:
```python Cutlery = Enum('Cutlery', ['knife', 'fork', 'spoon']) Cutlery = Enum('Cutlery', 'knife fork spoon') Cutlery = Enum('Cutlery', {'knife': 1, 'fork': 2, 'spoon': 3})
# Functions can not be values, so they must be enclosed in tuple:
LogicOp = Enum('LogicOp', {'AND': (lambda l, r: l and r, ), 'OR' : (lambda l, r: l or r, )} ```
### Copy
```python import copy <object> = copy.copy(<object>) <object> = copy.deepcopy(<object>) ```
System ------
### Arguments
```python import sys script_name = sys.argv[0] arguments = sys.argv[1:] ```
### 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', encoding='utf-8') as file: file.write(text) ```
### Path
```python import os <bool> = os.path.exists(<path>) <bool> = os.path.isfile(<path>) <bool> = os.path.isdir(<path>) <list> = os.listdir(<path>) ```
### Execute Command
```python import os <str> = os.popen(<command>).read() ```
#### Or:
```python >>> import subprocess >>> a = subprocess.run(['ls', '-a'], stdout=subprocess.PIPE) >>> a.stdout b'.\n..\nfile1.txt\nfile2.txt\n' >>> a.returncode 0 ```
### Input
```python filename = input('Enter a file name: ') ```
#### Prints lines until EOF:
```python while True: try: print(input()) except EOFError: break ```
JSON ---- ```python import json ```
### Serialization
```python <str> = json.dumps(<object>, ensure_ascii=True, indent=None) <dict> = json.loads(<str>) ```
#### To preserve order:
```python from collections import OrderedDict <dict> = json.loads(<str>, object_pairs_hook=OrderedDict) ```
### Read File
```python def read_json_file(filename): with open(filename, encoding='utf-8') as file: return json.load(file) ```
### Write to File
```python def write_to_json_file(filename, an_object): with open(filename, 'w', encoding='utf-8') as file: json.dump(an_object, file, ensure_ascii=False, indent=2) ```
SQLite ------ ```python import sqlite3 db = sqlite3.connect(<filename>) ```
### 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: ')) except ValueError: print('Oops! That was no valid number. Try again...') else: print('Thank you.') break ```
#### Raise exception
```python raise IOError("input/output error") ```
Bytes ----- **Bytes objects are immutable sequences of single bytes.**
### Encode
```python <Bytes> = b'<str>' <Bytes> = <str>.encode(encoding='utf-8') <Bytes> = <int>.to_bytes(<length>, byteorder='big|little', signed=False) <Bytes> = bytes.fromhex(<hex>) ```
### Decode
```python <str> = <Bytes>.decode('utf-8') <int> = int.from_bytes(<Bytes>, byteorder='big|little', signed=False) <hex> = <Bytes>.hex() ```
### Read Bytes from File
```python def read_bytes(filename): with open(filename, 'rb') as file: return file.read() ```
### Write Bytes to File
```python def write_bytes(filename, bytes): with open(filename, 'wb') as file: file.write(bytes) ```
```python <Bytes> = b''.join(<list_of_Bytes>) ```
Struct ------ **This module performs conversions between Python values and C structs represented as Python Bytes objects:** ```python <Bytes> = struct.pack('<format>', <value_1> [, <value_2>, ...]) <tuple> = struct.unpack('<format>', <Bytes>) ```
### Example
```python >>> from struct import pack, unpack, calcsize >>> pack('hhl', 1, 2, 3) b'\x00\x01\x00\x02\x00\x00\x00\x03' >>> unpack('hhl', b'\x00\x01\x00\x02\x00\x00\x00\x03') (1, 2, 3) >>> calcsize('hhl') 8 ```
### Format
**Use capital leters for unsigned type.** * `x` - pad byte * `c` - char * `h` - short * `i` - int * `l` - long * `q` - long long * `f` - float * `d` - double
Hashlib ------- ```python >>> hashlib.md5(<str>.encode()).hexdigest() '33d0eba106da4d3ebca17fcd3f4c3d77' ```
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 * ```
### Combinatoric iterators
```python >>> combinations('abc', 2) [('a', 'b'), ('a', 'c'), ('b', 'c')]
>>> combinations_with_replacement('abc', 2) [('a', 'a'), ('a', 'b'), ('a', 'c'), ('b', 'b'), ('b', 'c'), ('c', 'c')]
>>> permutations('abc', 2) [('a', 'b'), ('a', 'c'), ('b', 'a'), ('b', 'c'), ('c', 'a'), ('c', 'b')]
>>> product('ab', [1, 2]) [('a', 1), ('a', 2), ('b', 1), ('b', 2)] ```
### Infinite iterators
```python >>> i = count(5, 2) >>> next(i), next(i), next(i) (5, 7, 9)
>>> a = cycle('abc') >>> [next(a) for _ in range(10)] ['a', 'b', 'c', 'a', 'b', 'c', 'a', 'b', 'c', 'a']
>>> repeat(10, 3) [10, 10, 10] ```
### Iterators
```python >>> chain([1, 2], range(3, 5)) [1, 2, 3, 4]
>>> compress('abc', [True, 0, 1]) ['a', 'c']
>>> islice([1, 2, 3], 1, None) # islice(<seq>, from_inclusive, to_exclusive) [2, 3]
>>> people = [{'id': 1, 'name': 'bob'}, {'id': 2, 'name': 'bob'}, {'id': 3, 'name': 'peter'}] >>> {k: list(v) for k, v in groupby(people, key=lambda x: x['name'])} {'bob': [{'id': 1, 'name': 'bob'}, {'id': 2, 'name': 'bob'}], 'peter': [{'id': 3, 'name': 'peter'}]} ```
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**
### Variables
```python <list> = dir() # In scope variables. <dict> = globals() # Global variables. <dict> = locals() # Local variables. ```
### Attributes
```python >>> class Z: ... def __init__(self): ... self.a = 'abcde' ... self.b = 12345 >>> z = Z() ```
```python >>> getattr(z, 'a') # Same as Z.__getattribute__(z, 'a') 'abcde'
>>> hasattr(z, 'c') False
>>> setattr(z, 'c', 10) ```
### Parameters
```python >>> from inspect import signature >>> sig = signature(<function>) >>> len(sig.parameters) 3 ```
### 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 >>> Z = type('Z', (), {'a': 'abcde', 'b': 12345}) >>> z = Z() ```
### 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 Attribute
**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 ---- ### Basic
```python >>> import ast >>> ast.literal_eval('1 + 1') 2 >>> ast.literal_eval('[1, 2, 3]') [1, 2, 3] ```
### Detailed
```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 ```
Coroutine --------- * **Similar to Generator, but Generator pulls data through the pipe with iteration, while Coroutine pushes data into the pipeline with send().** * **Coroutines provide more powerful data routing possibilities than iterators.** * **If you built a collection of simple data processing components, you can glue them together into complex arrangements of pipes, branches, merging, etc.**
### Helper Decorator
* **All coroutines must be "primed" by first calling .next()** * **Remembering to call .next() is easy to forget.** * **Solved by wrapping coroutines with a decorator:**
```python def coroutine(func): def start(*args, **kwargs): cr = func(*args, **kwargs) next(cr) return cr return start ```
### Pipeline Example
```python def reader(target): for i in range(10): target.send(i) target.close()
@coroutine def adder(target): while True: item = (yield) target.send(item + 100)
@coroutine def printer(): while True: item = (yield) print(item)
reader(adder(printer())) ```
<br><br>
Libraries =========
Plot ---- ```python # $ pip3 install matplotlib
from matplotlib import pyplot pyplot.plot(<data_1> [, <data_2>, ...]) pyplot.show() pyplot.savefig(<filename>, transparent=True) ```
Table ----- #### Prints CSV file as ASCII table:
```python # $ pip3 install tabulate
import csv from tabulate import tabulate with open(<filename>, newline='') as csv_file: reader = csv.reader(csv_file, delimiter=';') headers = [a.title() for a in next(reader)] print(tabulate(reader, headers)) ```
UrlLib ------ ### Translate special characters
```python import urllib.parse <str> = urllib.parse.quote_plus(<str>) ```
Web --- ```python # $ pip3 install bottle
import bottle import urllib ```
### Run
```python bottle.run(host='localhost', port=8080) bottle.run(host='0.0.0.0', port=80, server='cherrypy') ```
### 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 = bottle.request.forms.get('team') team = urllib.parse.unquote(team).lower()
db = sqlite3.connect(<db_path>) home_odds, away_odds = get_p(db, sport, team) db.close()
response.headers['Content-Type'] = 'application/json' response.headers['Cache-Control'] = 'no-cache' return json.dumps([home_odds, away_odds]) ```
Curses ------ ```python # $ pip3 install curses
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
def get_border(screen): Coords = collections.namedtuple('Coords', ['x', 'y']) height, width = screen.getmaxyx() return Coords(width - 1, height - 1) ```
Profile ------- #### Basic:
```python from time import time start_time = time() ... duration = time() - start_time ```
#### Times execution of the passed code:
```python from timeit import timeit timeit('"-".join(str(n) for n in range(100))', number=1000000, , globals=globals()) ```
#### Generates a PNG image of call graph and highlights the bottlenecks:
```python # $ pip3 install pycallgraph
import pycallgraph graph = pycallgraph.output.GraphvizOutput() graph.output_file = get_filename() with pycallgraph.PyCallGraph(output=graph): <code_to_be_profiled> ```
#### Utility code for unique PNG filenames:
```python def get_filename(): time_str = get_current_datetime_string() return f'profile-{time_str}.png'
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 with values between 0 and 1 to a WAV file:
```python import wave, struct frames = [struct.pack('h', int((a-0.5)*60000)) for a in <list>] wf = wave.open(<filename>, 'wb') wf.setnchannels(1) wf.setsampwidth(4) wf.setframerate(44100) wf.writeframes(b''.join(frames)) wf.close() ```
Progress Bar ------------ ### Basic:
```python import sys
class Bar(): @staticmethod def range(*args): bar = Bar(len(list(range(*args)))) for i in range(*args): yield i bar.tick() @staticmethod def foreach(elements): bar = Bar(len(elements)) for el in elements: yield el bar.tick() def __init__(s, steps, width=40): s.st, s.wi, s.fl, s.i = steps, width, 0, 0 s.th = s.fl * s.st / s.wi s.p(f"[{' ' * s.wi}]") s.p('\b' * (s.wi + 1)) def tick(s): s.i += 1 while s.i > s.th: s.fl += 1 s.th = s.fl * s.st / s.wi s.p('-') if s.i == s.st: s.p('\n') def p(s, t): sys.stdout.write(t) sys.stdout.flush() ```
#### Usage:
```python from time import sleep # Range:
for i in Bar.range(100): sleep(0.02) # Foreach:
for el in Bar.foreach(['a', 'b', 'c']): sleep(0.02) ```
### Progress:
```python # $ pip3 install progress
from progress.bar import Bar from time import sleep STEPS = 100 bar = Bar('Processing', max=STEPS) for i in range(STEPS): sleep(0.02) bar.next() bar.finish() ```
Basic Script Template --------------------- ```python # Linux:
#!/usr/bin/env python3
# Mac:
#!/usr/local/bin/python3
# # Usage: .py
#
from collections import namedtuple from enum import Enum import re import sys
def main(): pass
###
## UTIL
#
def read_file(filename): with open(filename, encoding='utf-8') as file: return file.readlines()
if __name__ == '__main__': main() ```
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