What is Python?
Python is a popular programming language created by Guido van Rossum, and released in the year 1991.
Python is more powerful language which offer great tools for data crunching and preparation, as well as for complex scientific data analysis and modelling.
Python today has multiple implementations including Jython, scripted in Java language for Java Virtual Machine.
IronPython is the new variety which is written in C# for the Common Language Infrastructure, and PyPy version written in RPython and translated into C.
Most of the Python modules work on community development model and are open-source and free.
In addition, with this it is also used for the Server-side web application development, Application software development, The mathematics and Analytics, and System scripting.
Applications of Python:
As we have already discussed earlier that the Python is mainly used for developing the
Server-side web application development,
Application software development based on frameworks,
The mathematics and Analytics, and System scripting.
Big Data Analysis and Computation.
It is also used in AI application interfacing like Cognitive Computing and NLP.
GUI based desktop applications
Image processing and graphic design applications
Scientific and computational applications
Games Development
Advantages/Benefits of Python
The python language is having many applications due to because of its extensive features and compatibility with other platforms. It is used for mainly the following applications listed as below.
It can be used on a server to create web applications.
It can be used alongside software to create workflows.
It can connect to database systems. It can also read and modify files.
It can be used to handle big data and perform complex mathematics.
It can be used for rapid prototyping, or for production-ready software development.
It works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).
It has syntax that allows developers to write programs with fewer lines than some other programming languages.
It runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.
It can be treated in a procedural way, an object-oriented way, or a functional way depending on the requirement of the developer.
Presence of Third-Party Modules:
A Third-party module is defined as any code that has been written by a third party (neither you nor the python writers (PSF)). You can use them to add functionality to your code without having to write it yourself.
Examples include things like requests that simplifies http requests and nose that helps with unit/integration testing.
Modules are basically files which contain definitions that provide helpful functionality. Theoretically, all of you could write any program you wanted to write on your own, without any modules or outside help.
But why reinvent the wheel if you don't have to? This is the general gist behind modules.
You all have experience using modules such as tkinter and csv. These modules are part of a library of standard modules that came packaged with your install which the developers have deemed useful or necessary for your daily python usage.
This is where Third-party modules come in. When you come across a problem that the standard modules can't solve, there's a good chance somebody else had the same problem before you and created his own module to solve it.
Extensive Support Libraries
Python provides a large standard library which are used for various applications. It mainly includes areas like
Internet protocols,
String operations,
Web services tools and
Operating system interfaces.
Many high use programming tasks have already been scripted into the standard library which reduces length of code to be written significantly.
Open Source and Community Development:
As the Python is already a proven language in the data science industry and it is widely accepted by most of the industry, so it is now taken the lead as the toolkit for scientific data analysis and modelling. Python language is developed under an OSI-approved open-source license, which makes it free to use and distribute, including for commercial purposes. Further, its development is driven by the community which collaborates for its code through hosting conferences and mailing lists and provides for its numerous modules.
Learning Ease and Support Available:
Python offers excellent readability and uncluttered simple-to-learn syntax which helps beginners to utilize this programming language.
The code style guidelines, PEP 8, provide a set of rules to facilitate the formatting of code.
Additionally, the wide base of users and active developers has resulted in a rich internet resource bank to encourage development and the continued adoption of the language.
Python is vastly powerful for solving complex and difficult data analytical problems in virtually any domain.
Python is platform independent, and so it can integrate with most existing IT environments.
User-friendly Data Structures:
Python has built-in list and dictionary data structures which can be used to construct fast runtime data structures.
Python also provides the option of dynamic high-level data typing which reduces the length of support code that is needed.
Productivity and Speed:
Python has clean object-oriented design, which provides enhanced process control capabilities, and possesses strong integration and text processing capabilities and its own unit testing framework, all of which contribute to the increase in its speed and productivity.
In other words, we say that Python is more popular language. It is having the simple syntax and gradual learning curve has been one of the most popular reasons as to why it’s used in Big Data.
Using Python, we can be able to build a framework that makes it easy for us to grab data from all of these disparate data sources and model them.
So instead of everyone spending their time writing database connector code, they are able to use a simple configuration and quickly get off the ground”
It allows organizations to move code from development to production more quickly since the same code made as a prototype can be moved into production.
Python is considered a viable option for building complex multi-protocol network applications.
Scope @ NareshIT:
At Naresh IT you will get a good Experienced faculty who will guide you, mentor you and nurture you to achieve your dream goal.
Here you will get a good hand on practice in terms of practical industry-oriented environment which will definitely help you a lot to shape your future.
During the designing process of application, we will let you know about the other aspect of the application too.
Our Expert trainer will let you know about every in’s and out’s about the problem scenario.
Achieving your dream goal is our motto. Our excellent team is working restlessly for our students to click their target. So, believe on us and our advice, and we assured you about your sure success.
What is Python?
The Python is more powerful language which offer great tools for data crunching and preparation, as well as for complex scientific data analysis and modelling. Python is a popular programming language. It was created by Guido van Rossum, and released in 1991. It is basically used for:
web application development (server-side),
software development,
mathematics,
system scripting.
Python Interpreter:
The python is an interpreted language and hence it is very popular among other languages.
The Python interpreter is usually installed as /usr/local/bin/python3.9 on those machines where it is available;
Putting /usr/local/bin in your Unix shell’s search path makes it possible to start it by typing the command:
python3.9
On Windows machines the python3.9 command will be available where you have installed Python. If you have the py.exe launcher installed, you can use the py command also.
5.The interpreter is also used for Argument Passing and Interactive Mode of operations.
Python Installation
We can install Python on our Windows server or local machine in just a few easy steps as mentioned below.
Select Version of Python to Install. The installation procedure involves downloading the official Python .exe installer and running it on your system. The version you need depends on what you want to do in Python. But I recommend you to download both the latest version of Python 2 and 3.
Download Python Executable Installer. Open your web browser and navigate to the Downloads for Windows section of the official Python website. Search for your desired version of Python. Select a link to download either the Windows x86-64 executable installer or Windows x86 executable installer.
Run Executable Installer.
The next dialog will prompt you to select whether to Disable path length limit. Choosing this option will allow Python to bypass the 260-character MAX_PATH limit.
Verify Python Was Installed on Your system or not.
Python Installation For Windows
To install the Python on windows we need to have the same installation process as we have discussed above but after that we need to verify that whether the python has properly install or not in the system. To verify the installation we need to do the following.
Introduction to Python:
Navigate to the directory in which Python was installed on the system. In our case, it is C:\Users\Username\AppData\Local\Programs\Python\Python37 since we have installed the latest version.
Double-click python.exe.
The output should be similar to what you can see below:
If the above screen is get appear it means it is installed properly.
Now we need to check and verify that whether the Pip is installed or not. The Pip is a powerful package management system for Python software packages. But If you opted to install an older version of Python, it is possible that it did not come with Pip preinstalled.
To verify whether Pip was installed:
Open the Start menu and type “cmd.”
Select the Command Prompt application.
Enter pip -V in the console. If Pip was installed successfully, you should see the following output:
If the above screen gets appear then it means that the Pip is get installed in your system.
Python Installation For Linux:
First, install development packages required to build Python.
On Debian we need to do the following:
$ sudo apt update
$ sudo apt install build-essential zlib1g-dev \
libncurses5-dev libgdbm-dev libnss3-dev \
libssl-dev libreadline-dev libffi-dev curl
On Fedora we need to do the following.
$ sudo dnf groupinstall development
4. Download the stable latest release of Python. Here Visit the official Python website and download the latest version of Python. After the download is complete, you have a .tar.xz archive file (a "tarball") containing the source code of Python.
5. Extract the tarball
6. Configure the script. Once the Python tarball has been extracted, navigate to the configure script and execute it in your Linux terminal with: $ cd Python-3.*
./configure command.
7.Start the build process using the command $ sudo make altinstall
8. Verify the installation with the help of command python --version
Python Installation For Mac
It should be noted that the Mac OS X comes with Python 2.7 out of the box. If you are going to use Python 2, then You do not need to install or configure anything else to use Python 2. But if you are using the python 3 then you need to do the following.
The Homebrew version of Python 2 is already installed, and the Homebrew version of Python 3 as well.
$ python command will launch the Homebrew-installed Python 3 interpreter.
$ python2 Command will launch the Homebrew-installed Python 2 interpreter (if any).
$ python3 Command will launch the Homebrew-installed Python 3 interpreter.
If the Homebrew version of Python 2 is installed then pip2 will point to Python 2. If the Homebrew version of Python 3 is installed then pip will point to Python 3.
The rest of the guide will assume that python references Python 3.
$ python –version
Python 3.7.1 # Success!
Python IDE:
A code editor is a tool that is used to write and edit code.
They are usually lightweight and can be great for learning.
An IDE (Integrated Development Environment) understand your code much better than a text editor.
It usually provides features such as build automation, code linting, testing and debugging. This can significantly speed up your work.
The downside is that IDEs can be complicated to use.
Some of the best IDEs are listed as below.
Online Compiler from Programiz.
IDLE
Sublime Text 3
Atom
Thonny
PyCharm
PyCharm
The PyCharm is an IDE for professional developers because it comes with many latest features.
It is Developed and created by JetBrains, which is a company well known for creating great software development tools.
There are two versions of PyCharm are available in the internet:
Community – It is a free open-source version, lightweight, good for Python and scientific development. It is well recommended for beginners also.
Professional – It is a paid version which is mostly used by the expert developers in the corporates. It is associated with the full-featured IDE with support for Web development as well.
The PyCharm provides all major features that a good IDE.
It should provide: code completion, code inspections, error-highlighting and fixes, debugging, version control system and code refactoring.
All these features come out of the box.
So it is suggested that, PyCharm is considered as best IDE for Python development.
Jupyter Notebook
The Jupytext offers one way of accessing your notebook from the IDE.
But it is not the only way. The other IDEs like Spyder also has a long history of offering an interactive mode on scripts with double percent cell markers.
Hydrogen is a plugin for the Atom editor that lets you run these scripts interactively.
Here the Searching among notebooks is super easy so it is very widely used and they are just text files.
Here the Drafting a new notebook is so comfortable.
It provides you the benefit from the advanced capabilities of the IDE: syntax checks, completion, reformat, documentation tips.
Jupytext solves the issue of version control.
Why Learn Python?
As the Python is already a proven language in the data science industry and it is widely accepted by most of the industry, so it is now taken the lead as the toolkit for scientific data analysis and modelling.
These are open-sourced libraries, offering alternate ways of deriving the same output.
As the technology now a days gets more and more competitive, data scientists and engineers are continually striving for ways to process information, extract insights and model, by processing massive datasets.
Python is the only platform where we can be able to explore the various, so you need to be well versed in the various Python libraries that support your data science tasks and the benefits they offer to make your outputs more robust and speedier.
In addition, with the above Using the python, we can be able to do the following which is highly recommended.
Python can be used on a server to create web applications.
Python can be used alongside software to create workflows.
Python can connect to database systems. It can also read and modify files.
Python can be used to handle big data and perform complex mathematics.
Python can be used for rapid prototyping, or for production-ready software development.
Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).
Python has a simple syntax like the English language.
Python has syntax that allows developers to write programs with fewer lines than some other programming languages.
Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.
Python can be treated in a procedural way, an object-oriented way, or a functional way.
Python Applications:
Ass we have already discussed that the Python is the only platform where we can be able to explore the various prospect, so you need to be well versed in the various Python libraries that support your data science tasks and the benefits they offer to make your outputs more robust and speedier. It has many applications areas out of which I am going to discussed few listed below.
Web Development.
Game Development.
Scientific and Numeric Applications Development.
Artificial Intelligence and Machine Learning based application development.
Software Development based application development.
Enterprise-level/Business based application development.
Education programs and training courses.
Language Development.
Scope @ NareshIT:
At NareshIT’s Python application Development program you will be able to get the extensive hands-on training in front-end, middleware, and back-end technology.
It skilled you along with phase-end and capstone projects based on real business scenarios.
Here you learn the concepts from leading industry experts with content structured to ensure industrial relevance.
An end-to-end application with exciting features
Earn an industry-recognized course completion certificate.
Java concepts are a must for all programmers. Usually, we learn C, C++ for starting, And the next language we learn is Java. In this article, we are going to put in front of you some of the fundamental concepts of Java. And before we start, we need to learn what it is, what are the features of Java and how we can install it. In this blog we are going to cover the installation process of Java, how we write the Hello World program, what member variables are, what are data types and operators, and what are control statements. Then we will go through the classes and objects, and the structure of a program. Finally, we will look into Input and Output handling of the file in Java, and the arrays in Java. And we will finish off the article discussing the OOPS concept and Exception Handling. So, let’s begin the article. And you can contact us for your Core Java online training. Naresh I Technologies is the number one computer training institute in Hyderabad and among the top five computer training institutes in India. Contact us anytime for your Java training.
You can download Java from here. However, make sure you have an Oracle Account, and you will require to accept the terms and conditions. You need to download the developer version from here. Download Java's latest version. However, remember that JRE has been deprecated from Java 10 onward. Hence now you need not include it in the URL after JDK plus there is no JRE now. This will show when you will be installing the Netbean. Before, when you used to download, both the JDK and the JRE used to be present in the zipped file. However, now you will find only JDK. Download hence and follow all the instructions, and go on clicking ok. Once you install Java successfully, you need to update the Environment variable. You will witness here as well. If you are downloading a version post-Java 10, you need to add only the jdk bin URL in the environment variable path section. Or else you need to add till bin the URL for JRE as well.
Remember we are installing on Windows 10. Go to Start and search for System. And then search for the Advanced System Settings. Now click on Environment variable, and double click on Path. Now go to C drive, and under Program files find Java, and then inside that bin. Now click on the arrow in the Address bar, and copy the URL from there. In case, you have the Java version less than 10, you need to repeat this process for the JRE as well. Now add both of these URLs to the path, which you get after double-clicking on Path in the Environment Variable. Click ok and you are done. Now open the CMD, and enter Java -version. The Java version you downloaded will be shown. Congratulations, you have successfully installed Java on your Windows 10 machine.
Now you need to install the NetBeans or the Eclipse IDE. We are mentioning both so that you can install both of them or anyone. Download NetBeans full version from the internet, and also the Eclipse. Follow the installation process, as it shows. The JDK is required for both, which we have already installed. And the IDE will pick the JDK URL automatically. On successful installation, you need to add the server. And we will show later how to add the Apache Tomcat 9.0 server to the Netbeans. Remember, the web application will run on this Apache Tomcat 9.0 server. Let’s now see how we can curate a Hello world program, and that is our next point of discussion.
However, before that, let's have a look at some of the salient features of Java. The salient features are as below:
Java has always been an open-source product, and all have public access. As a programmer, you can post the entire source code, and it's downloadable by anyone. No license is required, and you get a GPL license or the General public License that we get through the open-source software.
It’s an interpreted language, and hence it is not as fast as C or C++. However, it enables the best performance through the just-in-time compiler.
Through Java, you can perform several tasks simultaneously as it is multithreaded. The advantage is you make use of the same memory and various other resources for executing numerous threads at one time, such as during typing, grammatical errors get checked.
Java is the best in security. Through its security features, we can develop virus and temper-free systems. And it always run-in runtime environment that has no interaction with the system OS, and therefore secure.
The C and C++ are compiled in platform-specific machines. Whereas Java is writing once, run anywhere programming setup. Java gets compiled into bytecode. And this is platform-independent, and you can run it on any of the machines. It also ensures security. And if the JRE is present on a machine, it can run the Java program.
The Java code is quite portable, and highly in fact. You can write the code in the windows environment and execute it in the Linux environment.
You will find all Java is an object which has data and behavior. And it can be easily extended as it is Object model-based.
Java to remove error-prone code put weights on runtime and compile-time checking. However, the main improvement in Java is in mishandled exception and memory management through the inclusion of exception handling and the Garbage collector.
Let’s now write the first Java program, which is the Hello world program
Our first Java program is as below. We have declared a class called HelloWorld and printed the “Hello World” message inside it. The code is as below:
public class HelloWorld {
public static void main(String[] args){
System. out.println("Hello World");
}
}
It is used to store the data value. There are three ways of declaring the data variable in a class. they are Local variables, instance, and Class/static variables.
Local: It’s the variable declared within a class method shown as below:
public class Student {
public void PrintStudent(string name){
string name1=name; // This is a local variable
System.out.println("Student Name is:" +name1);
}
}
Above we have a local variable name1, declared with the method PrintStudent with parameter “name.”
public class Student {
public String name; // instance variable
Student(String n){
name=n;
}
public void PrintStudentName() { // Method
System.out.println("The name of the student is:"+name);
}
public static void main (String args[]){
Student obj=new Student("NareshIt");
obj.PrintStudentName();
}
}
Above “name” is the instance variable and it gets the value “NareshIt in the main function.
These variables have one copy stored by all objects in a class. Let’s see the below code.
public class Student {
public static int HeadBoy; // This is class or static variable
public static void main(String args[]){
HeadBoy="NareshIT";
System.out.println("HeadBoy is"+HeadBoy);
}
}
Above “HeadBoy” Is the class variable or the static variable. And its value remains the same everywhere in the class.
We make use of the Data type to store various values in a variable. The main data types are Integer, character, float, and Boolean. Various data types under the Integer is the byte, Long, Short, and Int. Various under Float are float and double. Various character types are char, and various Boolean types are Bool. We also have the string data type. And we have used that in the code that we have written till now in this blog post on various instances.
Now let's have a look at the Operators.
We have mainly four types of operators which are respectively Arithmetic Operators, Unary operators, Logical operators, and relational operators. Let’s discuss each of them one by one.
Arithmetic Operator: The four arithmetic operators are addition, subtract, multiply, divide, and modulus.
Unary Operators: The unary operators are like increment and decrement operators. ++ is the increment and – is the decrement.
Relational Operator: It sets up the relation between the two entities. Like <,>,>=,<=,!=,==
Logical Operator: They are applied to Boolean values.
Before understanding anything else, let's first discuss the oops concept. And then we will continue with the basics of JAVA.
OOPS concepts like Inheritance, Polymorphism, Encapsulation, and Abstraction
We already know what this is. However, let's repeat that it’s the process where one class inherits the other class properties. There are two classes, the child class, and the parent class. It is the child class that inherits the properties of the parent class. it is also the derived class or we also know it as the subclass. And the class from which the child class inherits the properties is the parent class. And we also know it as the base class.
Let’s have one example to understand it more elaborately.
Suppose, there are “Class 9” and “Class 9 passed Students” and “Class 9 failed students”, which are the respective classes. The two of the last classes are the child class. And the first class is the parent class or the base class. You can clearly understand that both passed and failed students of class 9 will have the same list of subjects. Hence, it's not a must that the child class inherits everything from the base class. We do have the scope specifiers which explain what is inherited and what is not.
The inheritance puts aside the code redundancy. There is a long list of inheritance types, and we will discuss that deep in the forthcoming blog post, please be assured. In that post, we will cover Object-oriented programming elaborately.
We have the data and the code wrapped In one unit and that is the Encapsulation. Or you can experience that methods and variables are bound together in one class. And that is what we know as encapsulation. We can use the class variables only through the class method, and that ensures security. These variables are hidden from other classes but can be inherited through inheritance.
Through this, we can have multiple forms of the variables, functions, and objects. And the most appropriate example of polymorphism is when various child classes implement the parent class differently. Also, it is implemented while we do the function overloading. The entire concept we will cover in a forthcoming blog, so please do not worry about these for now. One more example, however, is the Teacher asks the students to draw a shape. And the students draw the circles, and some draw the rectangle. This is what we know as Polymorphism.
Let's, however, brief the function overloading here. Suppose we have the three definitions of the same function as below:
Void calculatearea(int a, int b);
Void calculatearea(int radius);
Void calculatearea(float side);
Based on the parameters passed the above same method will calculate the area of the rectangle, circle, or Square. And this is polymorphism. If you still didn’t get it please do not worry. We will have an elaborate post on OOPS soon.
When talk about calculating an area, we can sometimes use the function, pass the parameters, and get the results. We are only concerned with the results and don’t care about the code and the calculation. Like Data Scientists use the Python methods and they don’t care about the code involved, whereas the data engineer deals with the code. And this is what we know as an abstraction. It makes the task simpler for the layman and puts the burden of coding and the calculation of one other person like above we have the data engineers.
And that completes the OOPS part for now. If you are finding difficulty in understanding the above, then you need not worry as we will soon cover the OOPS in a separate blog and detail.
An exception is some issue that is not expected and arises at runtime. It hinders the sequential and normal flow of the program. Hence, we need to resolve it for avoiding the problems. Some of the exceptions are as below.
Let’s have a look at one through below code:
public class Student {
public static void main(String args[]) {
try {
float marks[] = new marks[20];
System.out.println("Printing 21st element:" + marks[21]);
}
catch (ArrayIndexOutOfBoundsException e) {
System.out.println("The Error encountered is :" + e);
}
System.out.println("Out of bound");
}
}
The output will be “Out of bound”
Now let’s hit back at the Java Core, and discuss the Control statements.
+91 8179191999 
040-2374 6666 / +91
8179191999
