is high level general purpose programming language and is everywhere now a days, what really strong package support (there are more than 200,000 Python packages), You can build possibly anything with python, either a desktop app, website or datascience AI solutions.
Lets see some common frameworks which are mostly used for making apps, websites and doing data science and AI stuff.
Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries to do common functions, more ever flask is more considered as more pythonic than django because in common situations the equivalent Flask web application is more explicit
Here is code of flask that will return simple web page with text Web App with Python Flask!
from flask import Flask app = Flask(__name__) @app.route('/') def index(): return 'Web App with Python Flask!' app.run(host='0.0.0.0', port=81)
Django is bit advance web framework that is based on model-template-views architectural. It is maintained by the Django Software Foundation.
Django enables rapid development of secure and maintainable websites. Django is built by experience developers & it takes care of much of the hassle of web development,that means django is gonna deal with alot of problems of yours by its own, so you can focus on writing your app/sites without needing to reinvent the wheel. Isn't cool?
To create desktop app, you have variety of options to choose from following list.
But among all for traditional desktop UIs, Qt is a clear winner. It's powerful, looks native on all the major platforms(Windows, Mac and linux), and has probably the biggest online community. There are two different Python bindings: PyQt is much older & more mature, but it's only free if your application is open source (licensing), while PySide is newer and more permissively licensed (LGPL). latest edition of PyQt is PyQt5.
To create android apps (not mostly used but if necessary), You can pick kivy to develop apps.
Python is widely used in industry of Datascience and artificial Intelligence, Lets understand what these both terms are.
Data Science is a comprehensive process that involves pre-processing, data analysis, data visualization etc. On the other hand, AI is an implementation of a predictive model to forecast future events. Data Science comprises of various statistical techniques whereas AI makes use of computer algorithms.
For tasks related to data processing,scientists use Pandas that is library for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.other then numerical data, we can use nlp(natural language processing) to convert text data to numberic and
then we can train a.i algorithm
For Datascience, scientists use
sklearn (for ML)
For AI, scientists use
keras (top end library for making models)
Opencv (Computer vision library)
It means python language is close to our natural language and syntax is too much simple compared to other languages
As mentioned above python is everywhere, It touches every domain either web,desktop apps, intelligent bots , a.i and data science.
Python apps can work on cross platform, either windows, linux or mac.
Over 235,000 packages are available at pypi (Python Package Index ) which you can install any time using pip
Python is indeed a great choice for scripting and automation. The language can be used to automate various mundane or repetitive tasks for better productivity and efficiency
whether you’re a beginner or an experienced programmer, this open-source language provides you with huge and reliable community support to help you out with any problem or concern related to the python language. There are more than 8 million python developers actively present across the world.
Python is among one of the quickest developing innovation across the globe. As referenced above, it is related with various future advancements like the Internet of Things (IoT), Artificial Intelligence, Automation, Cloud Computing, Big Data, and numerous others – and that is the reason the interest for Python designers is high in the tech world and thusly, their compensation is likewise nearly higher than different engineers.. Likewise, if you gain some other important skills like Data Science, Machine Learning, and so on alongside Python then it might go higher than that. Pretty much every IT giant whether it be Google, Facebook, Amazon, Uber, or some other is utilizing Python for their individual stage or item. It likewise means that the eventual fate of Python is brilliant and the career opportunities for Python experts will increase essentially in the coming times.
These are a portion of the significant reasons that you can consider beginning with Python in the year 2021. From Web Developer to Data Scientist to Machine Learning Professional – the language will open various career options for you once you'll get proficient with it. Henceforth, from now on wards – quit looking for the motivations to learn Python rather begin adapting now and make the most out of it..!!