Learn it with Python - Run your computer life

In the world of development, where technologies like AI, machine learning, automation, web development are taking over, the demand of programmers and development professionals are increasing at the same rate. What if we had only one programming language which can feed these wide range of demand and much more? Wouldn't it be great? Yes, the answer is  Python . With its incredible rate of growth over the years Python has become one of the most useful programming languages ​​​​in 2018. With a very little exposure of computer programming and some mathematics knowledge one's ready to get on board with this simple yet powerful high-level programming.

Growth rate of Python along with other programming languages ​​​​are displayed above(Source: Stack Overflow).  

Simple and straight forward syntaxes make Python very user friendly. Where developers can focus on problem solving rather than syntax errors solving. Let's get started with our first Python program, "Hello World". 

Step1: Open Python Interactive Shell (editor),

Step2: Type: Print (“Hello World”)

Step3: Save the file (say, helloWorld.py)

Step4: Execute it. 

Python has various datatypes like,

• Numbers: Integers, floating point numbers and complex numbers; eg: a=2, b=2.0, c=1+2j belongs to Number datatypes. 

• Lists: An ordered sequence of items; eg: a=[1,2,3,'Word']. 

• Tuples: An ordered sequence of items like lists but immutable; eg: a= (1,2,4). 

• Strings: A sequence of Unicode characters; eg: a=”New String”.

• Sets: An unordered collection of unique items. eg: a= {2,3,4,5}) and 

• Dictionary: An unordered collection of Key-Value Pairs; eg: {'a': [1,2],'b': [4,6]}, here a and b are Keys and [1,2] and [4 ,6] are their respective values 

Like other programming languages ​​​​Python too has flow control methods such as,

• If-else

• For loop

• While loop

• Break and continue

• Pass

Further to help our program break into smaller parts Python offers Functions, which make the program manageable and more organized. Function argument, function recursion and anonymous function lambda are a few facilities that comes under this segment. To curb this, various  online python tutorial for beginners are available through which one can master data science and begin career as a data scientist.

Data science is a broad career path and is undergoing developments and thus promises abundant opportunities in the future.

Not to forget the File Operations which comes in handy while performing read/write operations with previously stored files. Here we use Python built in function open() to open a file and specify modes such as read/write with r, w, r+ etc .

eg >> fp=open(“filename.txt”, r), here file is opened to read only.

Apart from its simplicity and flexibility one of the most useful features of Python is that it allows programmers to take different programming approach. “Object Oriented Programming” tops the list. The idea behind solving a problem with OOP is that we create objects based upon their attributes and behavior, with reusability. For example, Pen is an object. Its attributes would be color, weight, grip and writing would be a behavior of Pen. 

• Inheritance,

• Polymorphism  and

• Encapsulation are three basic principles of OOP.

Here comes the concept of class and object. A class is called the “the blueprint” for the objects. Use of class and object are widely used in Python OOP. Although unlike other programming languages(eg: Java), Python doesn't force users to define classes. 

This high level interpreted programming language is backed up by a large community of people who are continuously contributing towards its growth. According to reports, they have uploaded more than 145,000 custom-built software packages to the online repository, covering everything from Game Development to Business Applications. Python has an extensive range of standard libraries contains built in modules that offers facilities such as file handing, standardized solution of problems faced by developers every day.

Future aspects of python are very evident as the world today is dealing with rapid growth of data. Data science, data mining and Machine learning are a few terms related to processing and handling data.

• Pandas, 

• NumPy,

• SciPy, 

• Matplotlib 

These are a few examples Python libraries which helps in manipulation, analyze and visualize data. 

Thus, to conclude, with the rise of Data Science and Machine Learning, Python experienced a very high rate of growth in the last decade which also enabled new opportunities for Python developers. In other words, this is the right time to learn this programming language with python data science course .