Ones and Zeros

  # Lone Star Development Training - Loops # LOOPS # For and while are some of the Loops that you will see in Python. A for loop is used for iterating over a standard # sequence, such as a list, tuple, dictionary, set or a string. This is more like an iterator method found in other # object oriented programming languages and less like standard for loops in other languages. # A while loop is going to keep looping until a condition has been met. # Here is a list of programming languages languages = ["Python", "C#", "Java", "Objective C", "ActionScript", "JavaScript", "TypeScript", "C++"] # in this for loop, we are going to take each one of the items in the list and print in the order # that they are in the list for x in languages: print(x) # Here is a trick that we can use to verify and test that by reversing the list order print("We are going to reverse the list here and verify that the list will...

  # Lone Star Development Training - Tuple Data Type # TUPLE # TUPLES are one of the data types that you will see in Python. Tuples are used # to store data values similar to lists. A Tuple is like a # list but it is immutable. It is also more memory efficient than lists. # mutable object - can change their state or contents # immutable object - can't change their state or contents # Tuple Methods # count() - returns the number of times a specified value occurs in a tuple # index() - Searches the tuple for a specified value and returns the position import sys sample_list = ["Python", "Java", "ActionScript", "C#", "TypeScript", "JavaScript", "Kotlin", "Objective C"] sample_tuple = ("Python", "Java", "ActionScript", "C#", "TypeScript", "JavaScript", "Kotlin", "Objective C") sample_dictionary = {1:"Python", 2:...

  # Lone Star Development Training - List Data Type # LISTS # Lists are one of the data types that you will work with in Python. Lists can be created in multiple ways within # Python or from different packages that are available. # List Methods # Append() - Add an element to the end of a list # Extend() - Add all elements of a list to another list # Insert() - Insert an item at the defined index # Remove() - Remove an item from the list # Pop() - Removes and returns an element at the given index # Clear() - Removes all items from the list # Index() - Returns the index of the first matched item # Count() - Returns count of the number of items passed as an argument # Sort() - Sort items in a list in ascending order # Reverse() - Reverse the order of items in the list # copy() - Returns a copy of the list # Built in Functions with Lists # reduce() - apply a particular function passed in its argument to all of the # list elements stores the intermediate result and onl...

  # Lone Star Development Training - Dictionary Data Type # DICTIONARY # Dictionaries are one of the data types that you will see often in Python. Dictionaries are used # to store data values in key value pairs. A dictionary is a # collection which is ordered, changeable and does not allow duplicates. Values # in a dictionary can be of any data type. # As of Python 3.7 dictionaries are ordered. In Python 3.6 and earlier they are unordered. # DICTIONARY METHODS # clear() - removes all elements from the dictionary # copy() - returns a copy of the dictionary # get() - returns value of specified key # items() - returns a list containing a tuple for each key value pair (KVP) # keys() - returns a list containing dict keys # pop() - remove element with specified key # popitem() - removes the last inserted KVP # update() - updates dict with specified KVP's # values() - returns list of all the values of dictionary # Create dictionary with int keys print("Language Dictionary")...

  # Lone Star Development Training - Float Data Type # FLOATING-POINT Numbers # Floats are one of the common data types that you will see in Python. The float type in Python designates a floating # point number. Float values are designtated with a decimal point. It is possible to specify scientific # notation with an e or E followed by a positive or negative integer. Python float values are represented # as 64-bit 'Double Precision' values as per the IEEE754 standard. # Maximum value of a float is 1.8 x 10^308. Anything over that will be indicated by string inf # Imports import math from decimal import Decimal as D # Should display value 1.79e308 print(1.79e308) # Should display inf (infinity) due to maximum capacity or limitations of the computer print(1.8e308) float1 = 1.957 print(type(float1)) print(float1) # Limitation Example 1 # Python.org website (2001-2021). Representation error. Retrieved July 1, 2022 from # https://docs.python.org/3.6/tutorial/floatingpoint.html...