Python is high-level language, use as a general-purpose programming concept. It is created in 1991 by Guido van Rossum. It has good compatibility with other programming language and cyber security too. This will consider as a backbone of cyber security and ethical hacking. Best compatibility with machine learning, good compatibility with data science.
Python programming 3.7 is the latest verion but recently 3.8 version has been launched for research and development. It is object oriented language same as c++, also it has dynamic semantics. It is very easy to learn but will be good if candidate or student has good knowledge of c programming language. If we want to reduce the cost of programming language then in that case can easily use python programming. It supports modules and many packages, which has good feature of encourages and modularity and code reuse.
We can also use as a GUI interface so no need to learn deep coding process. It is high level language so will support core feature of the application and definitely will be taking care of common programming task. Python programming has very simple syntax which will make suitable learning process for the programming concept. If will talk about the learning curve then it is simple compare to other programming language. If we want to understand C and C++ then in that case we must have the strong knowledge of pointers.
Python programming 3.7 is very simple compare to c programming or c++ programming. Compare to other language it is very fast, if will discuss about the compilation part and to run any programming language with any platform then python programming will be better. If we are the beginner then can start from the python programming directly.
If will ask about the Google then for google, it is the backbone subject for the other application too and Google App Engine. Actually it was designed for the betterment and now it has tested by the google with many applications.
Apple has many devices like laptop, tablet, mobile, etc. Then now a days all the apple devices coming with the python along with the operating system. It is really excellent for the security so now we are using for the machine learning and cyber security with ethical hacking. If we want to check any information in more details then can refer www.gicseh.com website. Now it is based on universal binary which is inbuilt with the python programming 3.7 language.
If we want strong security also called complex security then must has the strong knowledge of the python basic and advance. If we want security with machine learning in hardware level then definitely need python, for automation purpose also can use python programming language. As a beginner need to understand about the introduction part of the python, after the introduction part need to understand python on windows part, then must have the strong knowledge of python on linux and other operating system.
Python has many types of variables and input/output with data types options. To learn quotes and escape charter, to learn concatenation and repeater operators and mathematical operators with number then need to focus on practical and real scenario. Python is the combination of many syntax like, if, for, while, try, raise, class, def, with, pass, assert, yield, import, print and there are many expressions, like **, ==, is etc. Python programming 3.7 is the combination of many mathematics formulas.
It has very big libraries, some example given below
1. Graphical user interface
2. Web framework
7. Test framework
9. Web scraping
11. System admin
12. Scientific computing
13. Text process
14. Image process
In automation, python programming has very important role for the machine learning in basic or advance part.
First Week - Getting Started with Python
Day1 - Introducing Python
Day2 - Installing Python on Windows
Day3 - Installing Python on Linux and other Operating Systems
Second Week - Types, Variables and Input/Output
Day1 - Using quotes and escape character
Day2 - String Concatenation and Repeater Operators
Day3 - Using Mathematical Operators with Numbers
Third Week - Lists in Python
Day1 - Creating and Using Lists
Day2 - len() with Lists
Day3 - in Operator with Lists
Day4 - Deleting List Element
Day5 - Common list and operations
Fourth Week - Dictionaries
Day1 - Using Dictionaries
Day2 - Accessing Dictionary values
Day3 - Adding, Replacing and Deleting key-value pairs
Day4 - Functions: get(), keys(), values() and items()
Fifth Week - For Loops and Tuples
Day1 - Using for Loops
Day2 - Using Sequence Operators and Functions with Strings
Day3 - Using the in Operator
Day4 - Indexing and Slicing Strings
Sixth Week - Functions in Python
Day1 - Defining Functions
Day2 - Using Parameters and Return Values
Day1 - Using Arguments and Defaults Parameters
Day2 - Using Global Variables and Constants
Seventh Week - Object-Oriented Python
Day1 - Introduction to Object-Oriented Python
Day2 - Creating Classes, Methods and Objects
Day3 - Using Constructor and Attributes
Day4 - Using Class Attributes and Static Methods
Day5 - Understanding Object Encapsulation
Day6 - Private Attributes and Methods
Day7 - Controlling Attribute Access
Day8 - Inheritance
Day9 - Polymorphism
Eighth Week - File Input and Output and Exceptions
Day1 - The open Function
Day2 - Input from Text Files
Day3 - Output to Text Files
Day4 - Handling Exceptions
Ninth Week - Modules
Day1 - Using Modules in Programs
Day2 - Writing Modules
Day3 - Importing Modules
Tenth Week - Building hacking tools using python
Day1 - Network Communications
Day2 - Creating a socket
Day3 - Creating port scanner using python
Day4 - Creating a HTTP banner grabber
Day5 - Creating packet sniffer under Linux