Top 7 domains to expertise after learning python

Python is one of the most popular programming languages. It is an object-oriented, dynamic semantics and high-level programming language. It's high-level built-in data structure combined with dynamic binding and dynamic typing makes it attractive for rapid application development.

Often programmers fall in love with python because of the increased productivity it provides.

Python is one of the most readable languages in the world right now. This language is very popular among developers and is widely used by many programmers to create application and programs.

The implementation of this programming language is simple and at the same time, the language has a very clean structure as compared to other languages. 

So if you mastered your python concepts and skills, you can dominate these 7 domains.

• Machine learning / Artificial intelligence
• Desktop GUI
• Data analytics and data visualization 
• Web development
• Game development
• Mobile app development
• Embedded systems

 1. Machine learning / Artificial intelligence

Machine learning and artificial intelligence are one of the hottest trends in the field of technology. The expertise of these fields is not only in demand but also the highest-paid. Python provides the ability to the system to learn from past experience without being explicitly programmed. 

Most of the industries run on automation hence python also works on automating the things for the industries and new startups. So if you are good at python programming you can become an expert in the field of artificial intelligence.

Popular modules

• Tensorflow
• sklearn
• OpenCV
• Theano
• Keras
• Scipy

2. Desktop GUI

A graphical user interface(GUI) is a system of interactive visual components for computer software.

A GUI displays objects that convey information and represent actions that can be taken by the user.

A GUI considered being more user friendly than a command-line interface.

GUI includes icons, cursors, buttons etc.

Popular modules 

• Tkinter
• wxWidgets
• Qt
• Gtk+
• Kivy
• FLTK
• OpenGL

3. Data analytics and data visualization

Data analysis is the process of analyzing datasets to make a decision about the information they have specialised software and system.

Data analysis are used in commercial industries that allow organizations to make business decisions.

Data can help customers, improve their advertising campaigns, personalise their content and improve their bottom lines

Data visualization is the graphical representation of information and data in a pictorial or graphical format.

Data visualization provides an accessible way to see and understand trends, patterns in data outliers.

General types of data visualizations are charts, tables, graphs, maps, dashboards etc.

Popular modules

• pandas
• NumPy
• sklearn
• matplotlib
• seaborn

4. Web development

Web development is one of the areas where python shines, python offers many frameworks from which to choose from including bootle.py, flask, chempy, pyramid, Django and w2py.

These frameworks have been used to power some of the most popular sites such as Mozilla, Spotify, Reddit etc.

Popular modules 

• Django
• Flask
• web2py
• pyramid
• dash

5. Game development

You can write the whole game in python using PyGame.

If you have an exciting game and want to add a scripting engine to make it more flexible.

A well-known pygame is based on python for building great games. Python becomes the favourite as it is great for writing out the ideas in just one long block of code. The developers begin off with a single file and single block and before they get into functions or classes, they start off with the code that will soon resemble all. With the help of python programming language, you can have your ideas written up in the same block of code.

Popular modules

• pygame
• OpenGL
• kivy

6. Embedded system

Python can be used in embedded small and minimal hardware devices depending on how limiting the devices actually are.

Some modern embedded devices have enough memory and a fast enough CPU to run a typical Linux based environment.

Devices which could be considered as "embedded" by modern standards and which can run tuned versions of CPython are

• Gumstix
• Raspberry PI
• BeagleBone Black
• Neo 1973
•  Aarlogic family

7. Mobile App development

Python can be used for the development of  APIs of mobile applications. 

The mobile app developers can create an app with this programming language as it is capable of running on several major OS.

In addition to this, the increase in the number of the mobile phone user and the increase in demand for applications led to the use of this programming language to develop mobile applications.

Popular modules

• Kivy
• BeeWare
• PyQt