0Python for Beginners------Anyone can learn Python
Prerequisites to learn Python
To learn Python we don’t require the knowledge of any other programming languages. To learn all other programming languages we should know the basics of C/C++. Python is simple and easy to learn which is recommended for beginners. Because of this most of the entry-level programming courses uses python to explain the concept of programming to their students.
What is the necessity to learn Python?
Even though python has made available to the public in the year 1991, suddenly it became more popular because of its advanced features. Since market trends keep on changing everyone need simple and easy to learn a language. Nowadays, for the development of all advanced technologies, most of the developers prefer Python language which is more flexible compared to other programming languages.
What makes it different from other languages?
To learn Python there is no need for any prerequisite languages.
Python supports programming as well as scripting languages.
Its syntax is very simple and readable compared to other languages.
Since Python is an interpreted language there is no need to be compiled before its programs are executed.
It’s free and open-source and can run in any operating system.
C is a procedure-oriented programming language but not an object-oriented programming language. Java is object-oriented but not a procedure-oriented programming language. Whereas Python supports both object-oriented as well as a procedure-oriented programming language.
Since Python is a General-purpose programming language we can use it in various domains.
It is possible to merge any other languages with python so as to improve the performance of any application.
Python has got a large standard library so that we are not required to implement all the functions. It has got many inbuilt functions and modules to perform specific operations.
Python has an automatic memory management system which automatically clears the garbage.
Since python is a portable language it is possible to move from one platform to another without making any changes in the python program.
Python is a dynamic typing language. Based on the value provided to the variable, it will consider the type automatically. There is no need to declare the variables compared to other programming languages.
Because of its inbuilt features, it takes only fewer lines of code compared to other languages. Python has got many inbuilt features so that performance and memory utilization will be improved.
What are the applications of python?
The various domains where we use python are as follows.
- Desktop Applications –Any software that runs in our operating system. Some examples of desktop applications are Microsoft word, skype, Photoshop, Windows file explorer, web browsers like chrome, firefox, internet explorer.
- Web Applications-It is an application program that runs on a web server which is accessed through the internet connection. Some of the websites developed using python are Instagram, Google, Netflix, Pinterest, Dropbox, Uber and so on.
- Database Applications-It is a computer program whose main purpose is to operate a huge amount of information by entering, retrieving and managing data from a computerized database. Computerized medical records, banking systems and airline reservation systems are few examples of database applications.
- Networking Applications-The network applications are useful to transfer the data from one place to another within a network. Some of the networking applications are file transfer between two accounts on two computers, instant messaging, and real-time video conferencing
- Game Developments-A library in python called PyGame makes it easier to write games. It provides image handling functionality and sound playback features that can be incorporated into the game easily.
- Data Analysis (Data Science)-The process of extracting useful information from data by using various techniques and algorithms. Data science covers various domains like Artificial intelligence, Machine learning and deep learning. Data science uses any of these methodologies in order to analyze data and extracts useful information.
- Artificial Intelligence-It is a part of data science which allows machines to mimic human behaviour.
- Machine Learning-It is a part of AI that uses algorithms to analyze data, learn from it and predicts future without human intervention.
- Deep learning is a part of Machine learning that uses various algorithms from an artificial neural network.
- IoT-Internet of things-It means all the electronic devices are connected to each other in a local area called a network and this network is further connected to each other to form a bigger network.
So for the development of all these technologies, we need to use Python which is more flexible than any other programming languages.
What are the career opportunities after doing Python course:
