A curated list: those python How-Tos we search frequently in our daily programming

How to count occurrences of a char in a string?; how to sort a list?; how to iterate through a list with access to index?, etc.

Often times, when we work with different languages, our attentionn is spreaded and don’t usually remember good ways of doing something in a particular language at times. Like quoted above, we search for simple syntatic meat, or language sugar as such as a result on a regular basis if not frequent. With this post, I am collecting, organizing and looking after a list of such things in python.

Bookmark this page for your references !
Comment below to contribute your examples !

  • What is shallow copy as versus deepcopy in python?
    In python, assignment does not create object, it creats bindings between a target and an object. “For collections that are mutable or contain mutalble items, a copy is sometimes needed” to apply changes on one and leave the other untouched.
    First, shallow and deep copy are only relevant for compound objects - object that contains other objects, list, class instances, set, etc, dict, etc. The difference betweem shallow and deep copy:

    • shallow copy - create a new compound object, and insert references to original object items to the new compount object.
    • deep copy - create a new compount object, and recursively insert copies of original object items into new compount object.

    note that:

    • dict.copy returns a shallow copy.
    • list slicing like lst[:] return a shallow copy.
    • a class can define its own copy implementation by defining __copy__() and __deepcopy__().
  • How to use python lambda function ?
    lambda is the keyword in python to define anonymous function. In comparison, we usually define a named function with def keyword.
    It can take any number of arguments, but only one expression.
    Lambda function is usually used when there is a need for a nameless functionf or a short period of time. In addition, it is usually used in a function with higher order, a function that takes another function as an argument. Lambda functions are used along with built-in functions like filter(), map().
    In [14]: lst = [1, 2, None, 12, 22]
    In [15]: filter(lambda x: x != None, lst)
    Out[15]: [1, 2, 12, 22]
    In [16]: r = filter(lambda x: x != None, lst)
    In [17]: type(r)
    Out[17]: list
  • How to write a short expression to get previous number for num greater than 0, and zero as previous for zero itself ?
    This is a awkward question I made up, but I would like to share this concise and pretty expression:
    In [92]: i = 0
    In [93]: i - (i>0)
    Out[93]: 0
    In [94]: i = 1
    In [95]: i - (i>0)
    Out[95]: 0
    In [96]: i = 2
    In [97]: i - (i>0)
    Out[97]: 1
  • what is bisect and how to use it in python ?
    with bisect within bisect module, we can find a position in a list to insert a new number so that we can still keep the list sorted.

    In [1]: lst = [1,2, 6, 7, 10]
    In [2]: import bisect
    In [3]: bisect.bisect(lst, 6)
    Out[3]: 3
    In [4]: bisect.bisect_left(lst, 6)
    Out[4]: 2
    In [5]: bisect.bisect_right(lst, 6)
    Out[5]: 3
    In [6]:

    By default, if the number to be inserted already exists in the list, it will return right most position. In comparison, bisect_left return left most position for such scenario. bisect_right works similarly as bisect.

  • How to use filter in python ?
    It takes a filter founction that accept each item in the iterable and return true of false based on its function logic. All items that returns with true will be put into the list returned by filter
    In [81]: def f(s):
      ...:     if s == '-':
      ...:         return False
      ...:     return True
    In [82]: str_ = "asdasd-ad-qasd-asd-a"
    In [83]: filter(f,str_)
    Out[83]: 'asdasdadqasdasda'
    In [84]: 
  • You can multiple assignment in one line in python ?
    Yes, like:
    a = b = c = 1
  • What is/How to use Counter from collections ?
    It is a container that keeps track of how many times equivalent values are added.
    Eample usage:
    In [25]: from collections import Counter
    In [26]: c = Counter("adadsqwjenkads")
    In [27]: c
    Counter({'a': 3,
             'd': 3,
             'e': 1,
             'j': 1,
             'k': 1,
             'n': 1,
             'q': 1,
             's': 2,
             'w': 1})
    In [28]: c1 = Counter({"a": 7, "v":12, "ads":233, "asd":12312})
    In [29]: c1
    Out[29]: Counter({'a': 7, 'ads': 233, 'asd': 12312, 'v': 12})
    In [30]:
    In [30]: c1['a']
    Out[30]: 7
    In [31]: c1['ads']
    Out[31]: 233
    In [32]: c1['newkey']
    Out[32]: 0
    In [33]:

    Once a Counter is populated, its values can be retrieved with dictionary API.
    However, if a key does not exit, it will return zero as count instead of throwing KeyError like dictionary do for non-existent key.
    Counter.elements() produces an iterator that return all items known to one Counter.
    Note: items with count less than zero are not included.

    most_common to produce a sequence of n most frequently encountered input values and their respective counts:

    In [36]: c
    Counter({'a': 3,
             'd': 3,
             'e': 1,
             'j': 1,
             'k': 1,
             'n': 1,
             'q': 1,
             's': 2,
             'w': 1})
    In [37]: c.most_common(2)
    Out[37]: [('a', 3), ('d', 3)]
    In [38]: c.most_common(1)
    Out[38]: [('a', 3)]
    In [39]: c.most_common(2)
    Out[39]: [('a', 3), ('d', 3)]
    In [40]: c.most_common(3)
    Out[40]: [('a', 3), ('d', 3), ('s', 2)]
    In [41]: c.most_common(4)
    Out[41]: [('a', 3), ('d', 3), ('s', 2), ('e', 1)]
    In [42]: c.most_common(5)
    Out[42]: [('a', 3), ('d', 3), ('s', 2), ('e', 1), ('k', 1)]

    Counter can be populated via update method. The count values are increased based on new data, rather than replaced.

    In [43]: c
    Counter({'a': 3,
             'd': 3,
             'e': 1,
             'j': 1,
             'k': 1,
             'n': 1,
             'q': 1,
             's': 2,
             'w': 1})
    In [44]: c.update("a")
    In [45]: c
    Counter({'a': 4,
             'd': 3,
             'e': 1,
             'j': 1,
             'k': 1,
             'n': 1,
             'q': 1,
             's': 2,
             'w': 1})
    In [46]: c.update({'a':3, 'd':2})
    In [47]: c
    Counter({'a': 7,
             'd': 5,
             'e': 1,
             'j': 1,
             'k': 1,
             'n': 1,
             'q': 1,
             's': 2,
             'w': 1})
    In [48]:

    In addition, Counter supports arithmetic operations to aggregate results: +, -, &, |

    In [64]: c
    Counter({'a': 1,
             'd': 5,
             'e': 1,
             'hahah': 0,
             'j': 1,
             'k': 1,
             'n': 1,
             'q': 1,
             's': 2,
             'w': 1})
    In [65]: c1
    Out[65]: Counter({'a': 7, 'ads': 233, 'asd': 12312, 'v': 12})
    In [66]: c + c1
    Counter({'a': 8,
             'ads': 233,
             'asd': 12312,
             'd': 5,
             'e': 1,
             'j': 1,
             'k': 1,
             'n': 1,
             'q': 1,
             's': 2,
             'v': 12,
             'w': 1})
    In [67]:

    We can also directly modify count for a key. (if the key exists, existing value is overriden; If it does not exist, a new key with the count is added into counter)

    c['haha']  = 100
  • How to create a deep copy of a dictionary/set/list in python ? with deepcopy() from copy module:
    In [105]: import copy
    In [106]: dt
    Out[106]: {'add': 2}
    In [107]: dt['qad'] = 3
    In [108]: dt
    Out[108]: {'add': 2, 'qad': 3}
    In [109]: dt2 = copy.deepcopy(dt)
    In [110]: dt2
    Out[110]: {'add': 2, 'qad': 3}
  • How to check if a string is a letter ?
    with str.isalpha() - check if all characters in a string is alphabetic:
    In [84]: 'a'.isalpha()
    Out[84]: True
    In [85]: '1'.isalpha()
    Out[85]: False
    In [86]: '_'.isalpha()
    Out[86]: False
    In [87]: '1.23a'.isalpha()
    Out[87]: False
    In [88]: ''.isalpha()
    Out[88]: False
    In [89]:
  • What is del keyword in python ?
    delete local variables and many other things like an element in a list and a key-vlaue pair in a dictionary.
    In [62]: test = [1, 2, 3, 4]
    In [63]: del test
    In [64]: test
    NameError                                 Traceback (most recent call last)
    <ipython-input-64-4e1243bd22c6> in <module>()
    ----> 1 test
    NameError: name 'test' is not defined
    In [65]: test = [2, 3, 4]
    In [66]: del test[0]
    In [67]: test
    Out[67]: [3, 4]
    In [68]: test = {"a": 1, "b": 2, "c":3}
    In [69]: del test['a']
    In [70]: test
    Out[70]: {'b': 2, 'c': 3}
    In [71]:

    In addition, del can also operate on slices of list.

    In [115]: lst
    Out[115]: [1, 1, 1, 2, 3, 4, 6]
    In [116]: del lst[:2]
    In [117]: lst
    Out[117]: [1, 2, 3, 4, 6]
    In [118]: 

    Another example within ipython interactive shell:

    In [123]: dir()[:4]
    Out[123]: ['In', 'Out', '_', '_100']
    In [124]: _
    Out[124]: ['In', 'Out', '_', '_100']
    In [125]: _
    Out[125]: ['In', 'Out', '_', '_100']
    In [126]: _100
    Out[126]: [1, 2, 3, 4, 6]
    In [127]: del _100
    In [128]: _100
    NameError                                 Traceback (most recent call last)
    <ipython-input-128-5f49044bd438> in <module>()
    ----> 1 _100
    NameError: name '_100' is not defined
    In [129]:

    So we list out first four attributes in current local shell environment, and then we check out _100, which turns out to be a list actively stored in local environment. We can see its a list with 5 integers in it. Then we del the entire list. This list reference _100 no longer exist as a attribute in current local environment as indicated by the error at the end of the output.

  • How to count occurences of a item in a list ?
    with list.count():
    In [41]: [1, 2, 3, 4, 5, 6, 7, 1, 1].count(1)
    Out[41]: 3
    In [42]: ['a', 'haha', 'b', 'haha', 'haha'].count('haha')
    Out[42]: 3
    In [43]: ['a', 'haha', 'b', 'haha', 1.2].count(1.2)
    Out[43]: 1
    In [44]: ['a', 'haha', 'b', 'haha', 1.2, 3, 1.2].count(1.2)
    Out[44]: 2
    In [45]:
  • What does os.path do ?
    It is for platform-indenpendent manipulation of file names.
    “Parse, build, test otherwise work on file names and paths”

  • What does os.path.join do ?
    Combine several path components into a single one.
    • When it runs into a absolute path, it ignores all previous ones.
  • How create a new file from python at a designated path ?
    we can simply use open with w+ option by supplying the full path of the new file to create such file.
    In [215]: with open('./test_haha.csv', 'w+') as f:
         ...:     f.write("test write a file")
  • How to join two sets in python ?
    with set.union function. Note that it does not modify original set, but produce a new set with combined set elements.
    In [59]: test = {'1', 'qqw', 'ad'}
    In [60]: test.union({'tada'})
    Out[60]: {'1', 'ad', 'qqw', 'tada'}
    In [61]:
  • What is next founction in python ?
    It retrieves next item from iterator.

    Reference: next(iterator, default). If iterable is exhausted, it return the default value if specified, otherwise, it raises a StopIteration.

  • What is iter founction in python ?
    It returns an iterator for a given object. It creates an object which can be iterated one element at a time.
    There are three common usecases:
    1. On collection object (set, tuple, list)
    2. On user-defined object (from class that implements __iter__ and next)
    3. On callable object

    An example of user-defined object:

    In [13]: class Test:
        ...:     def __init__(self):
        ...:         self.max = 10
        ...:     def __iter__(self):
        ...:         self.curr =  0
        ...:         return self
        ...:     def next(self):
        ...:         if self.curr+1 > self.max:
        ...:             raise StopIteration
        ...:         self.curr += 1
        ...:         return self.curr
    In [14]:
    In [14]: t = Test()
    In [15]: dir(t)
    Out[15]: ['__doc__', '__init__', '__iter__', '__module__', 'max', 'next']
    In [16]: it = iter(t)
    In [17]: for val in it:
        ...:     print val

    An example of callable object:

    In [33]: with open('./test.log') as f:
        ...:     for line in iter(f.readline, ''):
        ...:         print line
    Out [33]:
    test line 1
    test line2
    line 3
  • What is zip founction in python ?
    It takes a number iterables and return a list of tuples with ith tuple’s values from ith element from each iterable.
    In [34]: lst1 = ['hah', 'ad', 'c', 'd']
    In [35]: lst2 = [1, 2, 3, 4]
    In [36]: lst3 = [1.2, 4.4, 7.1, 1.1]
    In [37]: zip(lst1, lst2, lst3)
    Out[37]: [('hah', 1, 1.2), ('ad', 2, 4.4), ('c', 3, 7.1), ('d', 4, 1.1)]
    In [38]:

    If iterable’s elements are of different size, zip will go most to last element of smallest iterable.
    zip will always create the tuple in the order of iterables from left to right.

    To unzip a list of tuples, we can call zip again by prefixing the list of tuples with *(star); we will get separate lists:

    In [38]: tuples = zip(lst1, lst2, lst3)
    In [41]: zip(*tuples)
    Out[41]: [('hah', 'ad', 'c', 'd'), (1, 2, 3, 4), (1.2, 4.4, 7.1, 1.1)]
  • How to create a dictionary with default value(s) ?
    with defaultdict from collections, we can achieve that:
    from collections import defaultdict
    data = [('Mon', 10.0), ('Tue', 21.5), ('Wed', 22.5), ('Thur', 17.5), ('Fri', 29.2)]
    spending = defaultdict(float)
    for day, dollar in data:
        spending[day] = dollar
    # defaultdict(<type 'float'>, {'Fri': 29.2, 'Thur': 17.5, 'Wed': 22.5, 'Mon': 10.0, 'Tue': 21.5})

    Another example of using defaultdict to consolidate a list of tuples:

    data = [('A', 2), ('B', 23), ('C', 1), ('d', 100), ('a', 99), ('b', 5), ('c', 12)]
    combined = defaultdict(list)
    for k, v in data:
    # defaultdict(<type 'list'>, {'a': [2, 99], 'c': [1, 12], 'b': [23, 5], 'd': [100]})
  • What is dir() function in python ?
    As from python docs:
    Without arguments, return the list of names in the current local scope. With an argument, attempt to return a list of valid attributes for that object.
    In [1]: dir()
    In [2]: class Foo(object):
       ...:     pass
    In [3]: f = Foo()
    In [4]: dir(f)
    In [4]:

    If a object has a function named: __dir__(), this method will be called and must return a list of attributes. For example:

    In [6]: class Shape(object):
       ...:     def __dir__(self):
       ...:         return ["attr1", "attr2", "attr3"]
    In [7]: s = Shape()
    In [8]: dir(s)
    Out[8]: ['attr1', 'attr2', 'attr3']
    In [9]:

    Every object in python has attributes.

    In [1]: a = 3
    In [2]: dir(a)[:5]
    Out[2]: ['__abs__', '__add__', '__and__', '__class__', '__cmp__']
    In [3]: b = (23,2,3)
    In [4]: dir(b)[:5]
    Out[4]: ['__add__', '__class__', '__contains__', '__delattr__', '__doc__']
    In [5]: str_ = 'test'
    In [6]: dir(str_)[:5]
    Out[6]: ['__add__', '__class__', '__contains__', '__delattr__', '__doc__']

    To get value for each attribute, use getattr or dot syntax:

    In [7]: str_.__add__
    Out[7]: <method-wrapper '__add__' of str object at 0x1078f6690>
    In [8]: getattr(str_, '__add__')
    Out[8]: <method-wrapper '__add__' of str object at 0x1078f6690>

    Dot syntax(.) is nothing more than syntactic sugar for getattr() in python.

    Advantage for dot notation: It is easier to read.

    Advantage for getattr(): Allow getting attributes by dynamically constructed string.

    Correspondingly, setattr() and dot notation with assignment are same thing.

    In python, we can create and assign a new attribute value by … well, by simply assigning to it.

    We can assign new attributes to nearly any object in Python.

    def hello():
        return "Hello"
    >>> hello.abc_def = 'hi there!'
    >>> hello.abc_def
    'hi there!'
    # Credit: http://blog.lerner.co.il/python-attributes/

    (Python functions are objects as well.)

    “we’re not creating variables at all. Rather, we’re adding one or more additional attributes to the particular object (i.e., instance) that has been passed to init.”

    • No difference between self.x = 3 inside __init__ and f.x = 3 outside. Doing it inside instead helps make code more readable, more convenient.

    “This is one of those conventions that is really useful to follow: Yes, you can create and assign object attributes wherever you want. But it makes life so much easier for everyone if you assign all of an object’s attributes in init, even if it’s just to give it a default value, or even None. “

    Difference between function body and class body:

    A function’s body is only executed when we invoke the function. However, a the body of the class definition is executed immediately, and only once — when we define the function. We can execute code in our class definitions:

    class Foo(object):
      print("Hello from inside of the class!")
    # We should never do this, but this is a byproduct of class definition executes immediately.

    Creating a class attribute:

    class Foo(object):
        x = 100
    # This is not creata a class variable and assign a value, but create a class attribute and assign a value to it.
  • Why python class methods need a self as first argument ?
    Standardalone definition of founction in current scope is usually global. When we define a founction within a class, it is actually creating an attribute with founction name in that class.
    >>> class Foo(object):
            def blah(self):
                return "blah"
    >>> Foo.blah
    <unbound method Foo.blah>

    In fact, class founctions in python sit on class instead of sitting on instance. When we invoke founction through instance(f), python is actually invoking it from class()(Foo) and pass instance as reference(f).

    There is no difference between f.blah() and Foo.blah(f).

    Reference: 1

  • Check if two sets have intersection in python ?
    In [1]: a = set(['1', '2', '3'])
    In [2]: b = set(['3', '4', '5'])
    In [3]: a.isdisjoint(b)
    Out[3]: False
    In [4]: c = set(['4', '5', '6'])
    In [5]: a.isdisjoint(c)
    Out[5]: True
    In [6]:
  • How to format string with auto-filled zeros in front to satisfy required amount of digits? with string format:
    In [1]: format(1, "02")
    Out[1]: '01'
    In [2]:
  • How to print type of a variable in python? with type() in python
    In [1]: a = 'test'
    In [1]: print type(a)
    <type 'str'>
    In [2]: b = 1
    In [3]: print type(b)
    <type 'int'>
    In [4]:
  • How to get base-10 value of a hexdecimal digit ? with built-in function int(), we can do:
    In [1]: int('a', 16)
    Out[1]: 10
    In [2]: int('b', 16)
    Out[2]: 11

    A little hack here: in fact, int(val, base) is a calculation mechanism, take a look at some examples I tried:

    In [3]: int('a', 15)
    Out[3]: 10
    In [4]: int('a', 14)
    Out[4]: 10
    In [5]: int('a',11)
    Out[5]: 10
    In [6]: int('a',10)
    ValueError                                Traceback (most recent call last)
    <ipython-input-99-fb0c9de8bbed> in <module>()
    ----> 1 int('a',10)
    ValueError: invalid literal for int() with base 10: 'a'
    In [7]:
  • How to increment a char in python? with ord() returning unide code point of a single char when it is an unicode object and chr return string representation of a char by its unide code integer.
    # get next char.
    In [1]: chr(ord('a')+1)
    Out[1]: 'b'
    In [2]: chr(ord('b')-1)
    Out[2]: 'a'
  • Add color to text in python? Ref: 1

  • How to create a new set with a single string in it ?
    Pass a list with single string at parameter for set():
    In [1]: set(["teststring"])
    Out[1]: {'teststring'}

    Caution: when you simply pass a string to set(), you will end up with a set of all chars in the string:

    In [2]: set("teststring")
    Out[2]: {'e', 'g', 'i', 'n', 'r', 's', 't'}
    In [3]:
  • How to make a list of n zeros ?
    with [0] * n
    In [1]: [0] * 4
    Out[1]: [0, 0, 0, 0]
    In [2]: [0] * 10
    Out[2]: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
  • How to return index of first appearance of a substring in a string ?
    with str.find(substring):
    In [7]: a='I am david hu am am'
    In [8]: a.find('am')
    Out[8]: 2
    In [9]: a.find("john")
    Out[9]: -1

    Reference: string.find(s, sub[, start[, end]]) Return the lowest index in s where the substring sub is found such that sub is wholly contained in s[start:end]. Return -1 on failure. Defaults for start and end and interpretation of negative values is the same as for slices.

  • How to do float division in python ?
    >>> a = b = 3
    >>> a/b
    >>> a/float(b)
  • How to check if a string is of (positive, unsigned) integer ?
    with str.isdigit():
    >>> str_val = "12312"
    >>> str_val.isdigit()
    >>> str_val = "123.23"
    >>> str_val.isdigit()
    >>> str_val = "adad"
    >>> str_val.isdigit()
  • How to check if a string can be convert to float?
    A simple and working way:
    except ValueError:
        print "not a float"
  • How to enter multiline string in interactive shell ?
    A simple way with """:
    input_str = """

    once you enter """, it will let you enter to enter newline to construct multiline string. It will end when you enter a enclosing """. It will look like following after you enter:

    input_str = """
    ...   test multiline string
    ...  one more line
    ... one more """
  • One-liner to search and get a line by a target string in python?
    A straightforward way:
    >>> input_str = """
    ...    I am a test
    ...   haha
    ... target this is a target line
    ... I am a target line
    ... fake line
    ... why cant I be a target line?
    ... """
    >>> [line for line in input_str.split("\n") if "target" in line]
    ['target this is a target line', 'I am a target line', 'why cant I be a target line?']
  • How to define custom exceptions in python ?
    A bare minimum example:

    class MyException(Exception):
    raise MyException("Something went wrong error")

    This will produce a traceback like: MyException: Something went wrong error

    To override something(i.e. for passing extra args when raising an exception), do this:

    class MyException(Exception):
        def __init__(self, message, extra_args):
            super(MyException, self).__init__(message)
            # Custom code here to handle extra args.
            self.extra_args = extra_args

    The benefit of this is that we can pass in a dictionary like extra_args, and retrieve it later once thrown with e.extra_args (given you catch exception like this: except MyException as e:)

    Note in python 3, we can use super().__init__(message) instead of super(MyException, self).__init__(message).
    Reference link: [1]


  • What is “late binding” in python ?
    An example: imports that happen during runtime.
    Late binding of imports is fortunately rarely done (its is slow and against PEP-8 Python Enhancement Proposals)


  • How to count occurrences of a char/substring in a string in python?

    simple way:

    >>> str_val = "I am an example string"
    >>> str_val.count('a')

    Syntax: str.count(sub[, start[, end]]) Return the number of non-overlapping occurrences of substring sub in the range [start, end]. Optional arguments start and end are interpreted as in slice notation.
    references: [1]


  • How to reverse a string in python?
    A simple way with python’s extend slicing:
    >>> str_val = "I am David"
    >>> str_val[::-1]
    'divaD ma I'


  • What is python’s extended slices syntax?
    Since python 1.4, python’s slicing syntax supports an optional third argument: step or stride.

    >>> lst = [1, 2, 3, 4]
    >>> lst[0::1]
    [1, 2, 3, 4]
    >>> lst[0::2]
    [1, 3]
    >>> str_val = "This is my example of demonstrating extended slicesw"
    >>> str_val[::2]
    'Ti sm xml fdmntaigetne lcs'
    >>> str_val[::-1]
    'wsecils dednetxe gnitartsnomed fo elpmaxe ym si sihT'


  • How to convert string to list and how to convert list to string in python?
    string to list:
    >>> val_str = "IamDavid"
    >>> list(val_str)
    ['I', 'a', 'm', 'D', 'a', 'v', 'i', 'd']

    list to string:

    >>> val_lst = ['I', 'am', 'David']
    >>> ''.join(val_lst)

    caution: if item(s) in the list is not of type str, you need to convert them into string in order to have join work, for example:

    >>> val_lst = [1, 2, 3, 4]
    >>> ''.join(str(val) for val in val_lst)
    >>> ''.join(val for val in val_lst)
    Traceback (most recent call last):
    File "<stdin>", line 1, in <module>
    TypeError: sequence item 0: expected string, int found

    Return a string which is the concatenation of the strings in iterable. A TypeError will be raised if there are any non-string values in iterable, including bytes objects. The separator between elements is the string providing this method.


  • What does the error: TypeError: 'str' object does not support item assignment mean ?
    String is immutable in python as a design choice by makers of python.
    Python would throw this exception when you try to mute part of a string. A simple reproducing example could be:
    >>> str_val = "I am A 23 *"
    >>> str_val[-1] = "&"
    Traceback (most recent call last):
    File "<stdin>", line 1, in <module>
    TypeError: 'str' object does not support item assignment


  • How to remove/strip an exact substring from end of a string ?
    A simple way with slicing:
    >>> str_val = "I am David Hu"
    >>> str_rmv = " Hu"
    >>> str_val[:-len(str_rmv)]
    'I am David'

    str.strip(...) will also work given the pattern, but be cautious and you might get unexpected result.


To curate:

  • What is pickle module in python ?
  • How to implement customized comparison upon list filled with objects.
  • Be in the know: python’s built-in data structures.
  • Explore python collections
  • Python’s variable scoping ?
  • The time complexity for python to return the length of a string ?
  • The time complexity for python to return the length of a list ?
  • The time complexity for python to return the count of keys in a dictionary ?
  • What is the error: TypeError: 'unicode' object does not support item assignment ? References:[1]
  • How do you run a shell command from python ?
  • What is python’s native way of listing all files in a directory ? References: [1]
  • What is list comprehension in python ?
  • What is nested list comprehension in python ? https://docs.python.org/2/tutorial/datastructures.html
  • What is functional programming , python’s functional programming tools ? https://docs.python.org/2/tutorial/datastructures.html
  • What is “Unpacking Argument Lists” in python ? https://docs.python.org/2/tutorial/controlflow.html#tut-unpacking-arguments
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