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30DAYS OF PYTHON
Day 1 of the 30 Days Of Python.
Python programming paradigms: Imperative, Functional, Procedural, Object-oriented paradigms
Representing data using python data types: Booleans, strings ,lists, tuples, sets, dictionaries.
Applications of Python in Software development and DevOps engineering automation, data science and machine learning.
PEP8 Rules
Python is an interpreted ,high-level ,general-purpose programming language used in web development, data science and creating software prototypes.
Python Paradigms.
Programming paradigms is a style or concept by which the methodology of a programming language adheres to.Python supports four programming paradigms:
Programming paradigms is a style or concept by which the methodology of a programming language adheres to.Python supports four programming paradigms:
Imperative-Python fully implements this paradigm. It uses statements that change a program state and focuses on how to solve.Data structures implement the use of this paradigm.
Functional- It is also known as declarative paradigm It treats every statement as a mathematical equation.
in python, lambda and recursion are approaches used to implement functional programming paradigm.
Procedural- in this paradigm, computational tasks are treated as step by step iteration and common task grouped as functions.
In python, procedural paradigm favors iterations, selection, sequencing and modularization.
Object-oriented- a programming paradigm that relies on concepts of classes and objects and focuses on writing reusable code. Python has object oriented features as methods, inheritance encapsulation and polymorphism.
Performing DevOps tasks- Python enables DevOps professionals to build, test, deploy, visualize and monitor the DevOps lifecycle with improved, simple custom utilities.DevOps tools such as Ansible is written in python.
Education-Python is a superb language for teaching programming, both at the introductory level and in more advanced courses.
Python has a handful of built-in data types, such as numbers (integers, floats, complex numbers), Booleans, strings, lists, tuples, dictionaries, and sets.
They represent the data that has a numeric value and can belong to three different numerical types:
Integers: Consists of positive or negative whole numbers.
Integers: Consists of positive or negative whole numbers.
a=12
print(a)Floats:Are true numbers with floating-point representation specified by a decimal point.
b=12.5Complex numbers: Are numbers with a real part and an imaginary part.
c=1.8j,3+4.5jStrings are pieces of text or sequences of characters that you can define using single, double, or triple quotes:
# Use single quotes
print('Hello there!')
'Hello there!'
#Use double quotes
greeting = "Good Evening!"
print(greeting)
'Good Evning!'
# Use triple quotes
message = """30 Days of Python Challenge!"""
print(message)
'30 Days of Python Challenge!'String data type can be used for Concatenation, Slicing, and Repetition.
Concatenation-Joining two or more strings together.
Concatenation-Joining two or more strings together.
print("My name is" + " " + "Korir")
#output
'My name is Korir'Repetition-It is repeating a sequence of instructions a certain number of times.
a='phy'
print(a*5)
Output: phyphyphyphyphySlicing- used extract different parts of a string.
String1 = "Python"
print(String1[3:4])
output=hLists are used to store multiple items in a single variables.
Lists are defined in Python by enclosing a comma-separated sequence of objects in square brackets ([]), as shown below:
Lists are defined in Python by enclosing a comma-separated sequence of objects in square brackets ([]), as shown below:
numbers=[1,2,3,4,5,7]
print(numbers)
output: [1, 2, 3, 4,5,7]Characteristics of Python Lists.
Tuples are identical to lists in all respects, except for the following properties:
tuple1=(11,2,43,4)
print(tuple1)
output: (11, 2, 43, 4)Dictionary in python is an ordered collection, used to store data values.
You can define a dictionary by enclosing a comma-separated list of key-value pairs in curly braces ({}). A colon (:) separates each key from its associated value.
You can define a dictionary by enclosing a comma-separated list of key-value pairs in curly braces ({}). A colon (:) separates each key from its associated value.
new_dict = {"firstname": "Korir", "lastname": "Mary",
"DOB": 2000}
print(new_dict["lastname"])
output:"Mary"used to store multiple items in a single variable.
Every set element is unique and must be immutable.
Are created by placing all the items inside curly braces {}, separated by comma, or by using the built-in set() function.
Every set element is unique and must be immutable.
Are created by placing all the items inside curly braces {}, separated by comma, or by using the built-in set() function.
new_set = {1, 2, 3,4,5}
print(new_set)
output={1, 2, 3, 4, 5}Resources
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