Park - Python Programming: 4 Books in 1 - The Complete Crash Course for Beginners to Mastering Python with Practical Applications to Data Analysis & Analytics, Machine Learning and Data Science Projects

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Python Programming

The Complete Crash Course for Beginners to Mastering Python with Practical Applications to Data Analysis & Analytics, Machine Learning and Data Science Projects

4 Books in 1

Andrew Park

Python for Beginners

Table of Contents

Introduction

Python is one of the top programming languages, universities and industries are preferring to teach it and use respectively. The charm of Python is hidden in the fact that it has extremely large applications in a wide range of fields. Most people abhor Python because of its use in building artificial intelligence models. They fear that these Python-powered AI models will drive people out of different industries and snatch their jobs. They quote the example of Teslas driverless taxi program by which Tesla pretends to replace Ubers taxis in the US market. But the reality is different. In fact, Python-powered AI models will create many more jobs instead of removing jobs For example, building these models will become an independent industry. Also, the implementation of these AI models will become a new business sector.

Data science is going to take the corporate world by storm. Data science is based on Python programming language, as more and more companies are now moving in a neck-on-neck competition. All they crave is a way to take an edge over their competitors. They do each thing for power and to get ahead. In this regard, Python seems to be promising. Python-backed data science tends to equip industries with sophisticated data about past and present sales patterns, which can help corporate sector CEOs make wiser decisions about sales and development of marketing strategies.

The biggest advantage for learners of Python is that you dont have to compile the code. In C++, you have to compile the entire program first and then run it. Only then you will be able to see whether your program runs or returns an error. Python offers the same level of programming and even at a higher stage, but still, it is an interpreted language that can be easily written, edited, and corrected.

Python is very easy to read and learn. You can easily read source codes for different programs that are created by other programmers. But no matter how easy it is on the outside to read and learn, it needs, like all the other programming languages, dedicated practice. You will have to get to the Python editor and practice all codes. In the beginning, you can take the code and just paste it in the editor to see the results. In the second phase, you can make minor edits to the code and see the results. In the third phase, you will be able to completely reshape a program and see how it runs in the Python shell. Given the increasing applications of Python, learning it is extremely profitable from the angle of the global job market. Python can give you the much-needed edge over others when it comes to securing high paid jobs.

Chapter 1 Python Installation

The up-to-date edition with the binaries, current source codes, documentation, latest news, etc. can be accessed at the official Python website: http://www.Python.org/

Here, you can download the documentation for Python from the site. It is accessible in various formats like PDF, HTML, and PostScript.

Python Documentation Website: www.Python.org/doc/

How to Install Python

Python Environment Variables:

Variable	Description
PYTHONPATH	It is similar to PATH. This variable foretells the Python interpreter as to where it can locate the module files that you can import in a program. PYTHONPATH must have a Python source library directory and the directories in which your Python code is present. PYTHONPATH is sometimes set by the Python installer automatically.
PYTHONSTARTUP	It has the path for the initialization file which contains Python source codes that are executed every time you work on the interpreter. This file is often named .Pythonrc.py in Unix, which usually has commands that can load the utilities or can modify the PYTHONPATH.
PYTHONCASEOK	This is used in Windows OS for instructing Python to find case-insensitive matches in an import statement. You can set this to any random value for activating it.
PYTHONHOME	It is an alternative search path that is embedded in PYTHONSTARTUP or PYTHONPATH directories for switching the module libraries very easy.

Running Python

Python can be run on a system in three ways.

Interactive Interpreter

You can start by entering Python and then begin programming in its interpreter by beginning from the command line on any platform that provides a command line interpreter or a shell window.

A list of command line options is given in the table below.

Option	Description
-d	Provide the output after debugging
-O	Optimized byte code generation i.e. the .pyo file is generated
-S	Dont run the import site for searching Python paths in a startup.
-v	Details of the import statement
-X	Disable the class-based built-in exceptions
-c cmd	It runs Python script sent in cmd String
File	The python script is run from the given file

Script from Command-line

Calling an interpreter on your application can help you run and execute your Python script in the command line.

Integrated Development Environment

It is possible to run Python from a GUI too. The one thing you require is a system that supports Python.

Chapter 2 Python Data Types

Python supports different data types. Each variable should belong to one of the data types supported in Python. The data type determines the value that can be assigned to a variable, the type of operation that may be applied to the variable as well as the amount of space assigned to the variable. Lets discuss different data types supported in Python.

Python Numbers

These data types help in the storage of numeric values. The creation of number-objects in Python is done after we have assigned a value to them. Consider the example given below:

total = 55

age = 26

The statement can be used for the deletion of single or multiple variables. This is shown below:

del total

del total, age

In the first statement, we are deleting a single variable while in the second statement, we are deleting two variables. If the variables to be deleted are more than two, separate them by using a comma and they will be deleted.

In Python, there are four numerical values which are supported:

• Int
• Float
• Complex

In Python 3, all integers are represented in the form of long integers.

The Python integer literals belong to the int class.

Example

Run the following statements consecutively on the Python interactive interpreter:

x=10

x

You can run it on the Python interactive interpreter and you will observe the following:

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