Top three IT domains where we can use Python skills

 

Python is the most popular programming language, and its very easy to learn. In mostly every IT domain, python is used to build applications, tools, automation, and many more purposes with the help of plenty of libraries in python.

Once you have learned the basics of python programming, you can use your programming skills to automate tasks, customise tools, and create practical scripts.

In this blog, we will see the top three IT domains where python knowledge is very useful to have, and which python libraries are used in each domain.

The Top three IT domains where we can use python.

• Networking

• CyberSecurity

• Cloud Computing

Python For Networking

Why Python used in the Networking Domain?

As a network engineer or Cisco network engineer, they prefer to use Python instead of other programming languages because of the easily available libraries and because it is easy to implement. With the help of python, you can automate Cisco networking procedures, which will save plenty of time.

We will see different libraries of Python that provide help in automate the networking task and give an overview of different uses of Python in networking.

Python libraries used in Networking

Popular python library are used to structure the data in a normalise format, clean API that can be used to create network clients and servers, convert YAML file to python objects, and many more.

Lets see different Python libraries for networking:

• NAPALM

Network Automation and Programmability Abstraction Layer with Multivendor support is known as NAPALM. This library carries out a number of operations to communicate with various router manufacturer devices using a common API.

• PYANG
  
  This is a python library which use for validating and working with YANG files. The configuration management protocol for NETCONF uses the data modelling language YANG.
  
  Mostly network administrators use NETCONF and YANG tools together to automate setup activities across heterogeneous devices.
  

• Xml to dict and Json
  
  This library helps to convert Xml file to dictionary in networking. We can use this library to parse xml to dict and unparse the file.
  
  Convert XML to Dict and reverse:
  xmltodict.parse(xml_data)
  xmltodict.unparse(dict)
  
  Json is a text format for exchanging and data storage. In this module Json file are parse into python dictionary and we can revert to the Json string version of the dictionary.

Benefits of learning Python for networking domain

• You can create scripts in Python to automate network configurations.

• Python allows people to advance in their careers and earn more money.

• It helps in the simple management of networks and allows for easy completion of tasks such as server configurations.

• Python makes it simple to implement a software-defined network (SDN).

• Python programming makes you stand out from the crowd and offers priority to your profile once you include it on your CV as a network engineer.

Those who want to learn Python as a Cisco Network Engineer can take the course at Networkers home. Here we provide PCNE (Python programming for Cisco Network Engineer) training for network automation engineers, network administrators, network designers, infrastructure engineers, and CCNA-certified candidates.

Python For CyberSecurity

What is the use of Python in CyberSecurity?

The majority of the organisation is looking to hire a security analyst, penetration tester, vulnerability assessor, and other security-related candidates, they prefer someone who is fluent in Python programming.

The organisation prioritises those with good programming skills and prefers to hire them, but why? Because Python helps automate tasks in cybersecurity, reduce your complex workloads, build tools, and automate security response operations.

Python libraries used in CyberSecurity

Plenty of libraries are available in python for cybersecurity, each library are used for different purposes. For network security different libraries are used, similarly separate libraries are available for cryptography.

Let’s see a few of the useful Python libraries in day-to-day tasks.

1. For data analysis, data visualisation, natural language processing, and malware analysis there are three libraries available, such as NLTK, Numpy, Pandas.
   

2. For scanning network layers and implementing network security in transport layers and application layer protocols, we can use the InMap libraries.
   

3. The Scapy library is also useful in network security; it provides features like packet processing, decoding packets, forging packets, and analysing packets.
   

4. A Cryptographic library used to implement cryptographic algorithms, specifically for the purposes of securing data.
   

5. For malware identification and classification, we can use Yara library of python.
   

6. For checking SQL injection and cross-site scripting we can use Mechanise library in python. This library also helps in data acquisition and getting data from web-pages.

Benefits of learning Python for CyberSecurity

• Python helps to build your own tools for malware analysis, network scanning, host discovery, and many more.

• While building tool or writing scripts there is no need to worry about memory management, in python there is an in-built memory manager.

• Python provides easy debugging.

• Plenty of libraries for each specified task.

• Adding python in CV or resume helps to get better career option.

Python For Cloud computing

What is the use of Python in cloud computing?

Python is also useful for cloud engineers, and there are different uses for each cloud computing service. In the AWS cloud, we can use Python Boto library, and Google cloud services use cloud client libraries.

These python cloud client libraries provide high-level APIs that are easy to understand.

We can use python in cloud for storage and data recovery, data analytics, audio and video streaming, blog hosting, developing services and applications. Mainly, cloud developers used python for maintaining and organising of data and for faster analysis.

Python libraries used in cloud computing

Picloud – This is a client-side library which uses the computing power of Amazon Web Services to maintain or configure virtual servers.

Boto3 – The Python AWS SDK is called Boto3. You can use it to develop, set up, and manage AWS services like Amazon DynamoDB, Amazon Simple Storage Service, and Amazon Elastic compute (EC2). Additionally, Boto3 offers two different kinds of APIs: resource APIs used by developers and low-level APIs.

Google Cloud Service uses Python cloud client libraries to build Python applications and deploy them on Google Cloud. In Google Cloud, Python is used for completing tasks such as error reporting, cloud trace, cloud monitoring, and cloud logging.

Benefits of using Python for Cloud computing

• Python has a large number of libraries that contain pre-written code for complex backend functions, making it useful for developing server-side programming.

• In Python, plenty of libraries are available; those libraries help to build cloud-based applications from scratch.

• It increases developers productivity by allowing them to write Python programmes with fewer lines of code.

Conclusion

We think the blog adequately explains why Python is the best choice for top IT domains. So learning and applying Python skills in your field of interest will undoubtedly put you ahead of the competition.

At last, before wrapping up, we have learned about the use of Python in top IT domains, the libraries used to develop Python applications, and the benefits of using Python. Python is the most demanding language due to its exceptional capabilities, which include testing microchips on Intel platforms, creating video games with PyGame, and running Instagram.

If you are working in any of these IT domains, then learning Python will definetly provide you with a better outcome.

Till then, keep learning and keep exploring!