Articles

What exactly can you do with python programmers Language?

by Om Prakash SEO consultant

We had a lot many blogs on python but here’s the main question you all are seeking answers for.”What exactly can you do with python?” How an application which has an edge over all its counterparts is useful to the programmers? Hereby we will discuss some applications of python

 

WEB DEVELOPMENT

Web frameworks have become very popular in recent times and they are ideal for web development. These frameworks help you create server side code i.e. the back end code that runs on our server opposite of the front end code.

These frameworks also make it easier to build common backend logic. If you’re just getting started, we the teachers of python course in Laxmi Nagar recommend Django and Flask for Python web frameworks. In the Python training in Laxmi nagar, we use flask for web framework if you’re a beginner as flask is way simpler than Django and has less components in it if compared to its counterpart.

 

SCRIPTING

Scripting is writing small programs to carry out automated simple tasks. For example we can take an email support system through which online companies respond to their customers. Python is perfectly suited for this kind of work as it is relatively simple and easy to write. Its also quick if you compare it with its counterparts.

 

DATA SCIENCE

In the Python Course in Delhi at Laxmi Nagar, Data science includes machine learning, data analysis and data visualization.

Machine learning is implementing an algorithm that automatically detects a pattern and responds to it in a way that the output is relative to the input. In the python training course in Laxmi Nagar, we define machine learning as a process where an algorithm starts from scratch. Similar to a newborn baby, the program learns what we decide to teach it.

Suppose we give it 1000 pictures of a cat and 1000 pictures of a house, then the machine learning algorithm will learn the difference between a cat and a house and when provided with a new picture of either a cat or a house, the algorithm will definitely recognize the desired output.

This is how a newborn baby learns things. The same idea can also be applied to face recognition, voice recognition and the recommendation programs that work on Netflix or YouTube.

There are popular machine learning algorithms such as deep learning and random forest. Also, there are popular machine learning frameworks for python such as scikit-learn and TensorFlow. We at Python training in Laxmi Nagar recommend skicit-learn if you are a starter

Python training at Laxmi Nagar gives you a vast experience in data analysis and data visualization. Data analysis is a big process.

Suppose you work at a bookstore. Now you data analyze a book that is sold over around 50 times in a particular week and 140 copies of the book were sold in the month. Now, as an analyst, you got to analyze how many men and women bought the book and give explanations based on your analysis.

Out of 140 copies, men bought 75 copies and women bought 65 copies. One possible explanation is that the book is more popular with men than with women. Another possible explanation is that the the sample size is too small and the difference is just caused by chance and yet another explanation of this analysis is that men tend to buy this book more only this particular month

And for a clear analysis now, you might look at the database of the particular book for the whole year and the possible explanation will be sorted out and it will be clear that the sample size was too small for that particular month.

So that was a simplified example of what data analysis might look like in the real world. We at Python training in Laxmi Nagar use python to visualize and analyze this data. Visualization is just making graphs based on the data analysis. Graphs too can be of many types such as Bar graph, Pie graph, Line Graph.

Also, one of the most popular libraries for data visualization is Matplotib. It's relatively easy and some other libraries are also based on it.

You should learn data analysis and visualization with python but you should learn the fundamentals of it first.

 

Other uses of Python:-

Talking on the embedded applications, Python works with Rasberry Pi and it is a very popular application among hardware lovers.

You could use Pygame to develop games but it's not as popular as other gaming libraries. You could also choose it if you’re building a hobby project but we at Python training in Laxmi Nagar recommend Unity if you’re serious about the game development

In the case with desktop applications, you could use Python with Tkinter.

 

If you are reading this article for choosing between Python 2 or Python 3, then we at Python training in Laxmi Nagar recommend Python 3 since it is more modern and a more popular option at this point.

 

We will also talk about the footnote that is precisely a note about back end code versus the front end code just to make you familiar with the terms. Suppose you want to make an application like Facebook, then you would need to create a front end code for each type of device you want to support such as iOS, Android and web browsers.

Each set o code will run on each type of device or browser you choose. This is the set of code that determines the layout of your app i.e. how your app will look like and how will the buttons look like when you click them.

Backend code or server side code will give you the ability to store users’ info and photos and you will be able to store them on your server so that they are saved. Backend codes are written to do things like:-

1.) Keep a track of users’ friends.

2.) Compress photos so that they do not take up much of the storage

3.) Recommend photos and new accounts to each user in the discovery feature

So this is the difference between the backend code and front end code and python is a good choice for writing both the codes.

If you want to advance python Django training in Delhi visit Asian Institute Of Digital Marketing (AIDM)



Sponsor Ads


About Om Prakash Innovator   SEO consultant

32 connections, 0 recommendations, 83 honor points.
Joined APSense since, December 27th, 2018, From Delhi, India.

Created on Feb 14th 2020 21:14. Viewed 202 times.

Comments

No comment, be the first to comment.
Please sign in before you comment.