Python Network Programming Projects

Python is a high-level programming language used for satisfying general needs. And, this dynamic executes the code line by line through an interpreter. So, it is fast to execute the results than others. In networking, Python Network Programming Projects gains the special place to develop both real and non-real applications since Python has the capability to access the network services in two levels: low-level and high-level.

At a low level, one can access socket, which is primary for OS and enable to work with clients and servers’ operations for connection and connectionless protocols.  At a high level, it enables to cope with application layer protocols such as HTTP, FTP, etc. For all these services, Python has in-build sophisticated libraries.  

Though Python is developed for general needs, it has more capability to handle any kind of new technology for large-scale users. So, it is widely spreading in many research fields such as cyber-physical systems, machine learning, and wireless sensor networks (WSN), big data analytics, and more. Most importantly, it is best suited to develop lightweight and scalable applications/services.

A network is nothing but a discrete set of network components that are interconnected with each other. And, it may be a whole large network or group of small networks, which means it is scalable to remove or add the network components in run-time.   For instance: home-network (connected with smart appliances and systems) and smart-office (connected with large-scale systems).

Further, based on context information, the network can describe in many ways were loose or particularized. And they are administrative, networking techs, physical (layout), and institutional boundaries. Below, we have listed the important characteristics of Python that are used to develop fine-tuning network projects.

Research Python Network Programming Projects with Source Code

This page helps you to improve your knowledge of python network programming projects based on the current research areas!!!

Features of Python Network Programming

  • In the simulation process, you have to focus on what do you really want to design and simulate. And also, you should verify whether the simulated model really gives the real-network behavior or just the model.
  • Mainly, Python lets you simulate networking models through simulation frameworks. In other ways, you can directly write code from scratch based on your project needs, and discrete simulation is not very tough to code. 
  • One more important thing is you can apply Python to access different protocols such as HTTP, FTP, and SMTP. And also, it allows you to design your own protocols or load balancer
  • For instance, in the case of data communication path simulation, you have to focus on routing protocols and data protection solutions

Next, we can see the two widely referable python frameworks for developing wireless networking applications. Our developers have sufficient practice in all major python frameworks. Based on our experience, we found that the following frameworks are user-friendly and well-suited for building custom-based WSN applications

Python Frameworks for Wireless Network Projects

  • Netty
    • It is client server framework for building the client server protocols and applications
    • And, it minimizes the working effort of streamlines network programming (UDP /TCP socket server)
  • Tornado Web Server
    • It is a web-based framework and networking library (asynchronous) which is used for python network programming projects.
    • Also, it is scalable to support any number of open-connections using non-blocking input / output
    • In overall, it supports websockets and applications with long-term connectivity

In addition, we have also given a few popular Python libraries which enclose all fundamental networking functions and classes. These libraries have become the biggest advantage for developers to make their developments easy. Here, we have also included the functionalities/purposes of the libraries for your information.

Python Libraries for Network Projects

  • darolt/wsn
    • Comprises energy model to assess the network overall lifespan
    • Ability to simulate data communication among nodes and base stations (BS)
    • WSN simulator with programmability of C++ and Python through SWIG
  • wireless 0.3.3
    • Installation Command – pip install wireless
    • It manages the system’s adapter for the purpose of linking with network
  • python-wifi 0.6.1
    • Installation Command – pip install python-wifi
    • Utilizes the linux enabled wireless extensions for the purpose of reading and writing wireless network card

In the earlier section, we have already seen the python frameworks and libraries used for wireless network projects. To a great extent, we have also highlighted other significant libraries to extremely support low-level (PyFUNS) and high-level (Pymote) access of network functionalities in detail.

PyFUNS (Pythonbased Framework for Ubiquitous Networked Sensors)

  • In restricted platforms, it maximizes the mote devices’ practicability and network performance by means of high data rate, low traffic, low delay, and low energy utilization in different network scenarios and structures.
  • In fact, it increases the interoperability and IoT integrations through CoAP and 6LoWPAN protocols for low-power applications
  • And, it helps to work with low-access network operations on using contiki services. In this, it enables to develop the application related operations, which are in the form of scripts developed in Python
  • Also, it is simple to develop wireless sensor network applications with minimal knowledge of the embedded system.


It is one of the most important Python libraries used for high-level networking access. Also, it works effectively in the event-assisted simulation of WSN technologies. For instance: distributed techniques.

As we already mention, Python is the object-oriented language that makes the complex process into a simplified one so that the developer can easily develop their research ideas in spite of challenges. Since the functions of this library are implemented without using the abstraction layer, it fully depends on its own functionalities to build and simulate any kind of algorithms. Due to its line-by-line interpreter compilation, it also executes faster using Python Network Programming Projects.

Next, it has the Ability to design and develop packet-level modules for the purpose of energy utilization, radio propagation, and node mobility models. Then, we can include data acquisition and graphing modules and modify the present network, logging, node, and algorithm modules. All these packet-level data acquisitions and graphing modules help to extend the pymote framework and its functionalities.

To sum up, the new extensions are mobility, energy usage, radio propagation, and others. And, it helps to deeply analyze the simulated models by means of data acquisition, logging, and interactive graph plots. Below, we have itemized the metrics used for evaluating the performance of the modeled network.

Simulation Parameters in Networking  

  • Mobility Model
    • Mobile (even speed)
    • Mobile (random movement)
    • Mobile (random heading and even speed)
    • Fixed
  • Energy Model
    • Initial Energy
    • Transmit and Receive Power
    • Communication Rate
    • Charging and Discharging Rate (EH nodes)
    • Minimum Energy for Processing
  • Propagation Model
    • Frequency
    • System Loss (beyond 1.0)
    • Path Loss Exponent
    • Transmit and Receive Antenna Gain
    • Standard Deviation of Gaussian Noise
    • Threshold of Minimum Received Signal Power

Simulation Configuration Files in Python

  • Topology
    • Directory – /topology
    • For instance: Structure of whole network by mapping nodes (before and after simulation)
  • Data Files
    • Directory – /data
    • For instance: CSV file with the information each node energy usage, number of data lost or received
  • Logging
    • Directory – /Logs
    • For instance: module-level logs
  • Combined
    • Directory – /yyyy-mm-ddThh-mm-ss
    • For instance: Generation of whole files in particular simulation
  • Charts / Plots
    • Directory – /charts
    • For instance: Energy level line plots and bar charts

Our resource team is well-equipped in current research areas of networking projects. In order to update our skills on current python programming techniques of networking projects, we continuously refer to many online and offline research resources. So, you can approach us for any help in implementing Python network programming projects. Further, we have short-listed the top 3 topics that we are currently working on for your reference.

Python Network Programming Projects Research Ideas

Research Topics using Python Programming Network Projects

  • Monitoring and Controlling Network Traffic in Python
  • Forensic Network Data Analysis in Python
  • Network Monitoring using Penetration (Pen) Testing in Python

Networking is one of the promising wide-ranging technologies where the majority of the current-world applications/services are executed and accessed through networking only. As a matter of fact, Python is largely used in developing networking applications that are easy to simplify complex tasks specially networking projects for masters. And, some of the python network programming projects are given as follows,

  • Utility Intensive Networking
  • Secure Network Nodes Mobility and Flexibility
  • Precise Anomalies Detection and Prevention in Network
  • Employment of Machine learning in Decentralized Network
  • Designing of Multiplier Cloud Service in Ad-hoc enabled Public Cloud

Empirical Study of Networking

In recent research, python network programming projects gain the increased demand by active scholars. Because of well-sophisticated in-built libraries, modules, and packages, Python has become a wide platform for networking projects. And, it is easy to code any kind of complex task in network programming.

When you discuss the networking project, it is essential to pay extra attention on the performance of the network model. For instance: you have to analyze how the software helps to measure and improve the bandwidth and speed of the network in different scenarios. And, one more important thing is network security. You have to take effective defensive measures against network security attacks, threats, and vulnerabilities.

Basically, network simulation tools are classified according to the different levels such as packet, complexity, instruction, and algorithm. For illustrative purposes, here we have listed two main simulation tools that enable python programming.

  • NS3 enables the PyBindGen which is referred as python bindings for networking functions. And, in every module of GNS3, it is placed in bindings folder to support C++ API and the below objectives,
    • Enable developer to build whole simulation scripts using python
    • Allow prototyping of new models. For instance: routing protocols
  • GNS3 is the simulator that is designed to support networking applications and services. In this, it virtually displays the network routers operations on deploying feasible recent version IOS. Further, we can work with BGP / OSPF routing, MPLS, QoS, MPLS-TE and etc.

Next, we can see the current growing research areas of the network field along with key research notions. Below, we have given just the samples for your awareness. Beyond this, we are pursuing research and development in many research areas. So, we are ready to give more information on other interesting networking technologies with appropriate Python network programming projects.

Research Ideas in Networks using Python


  • Fog Computing
    • Optimization of massive resource allocation and pricing for operators
  • Network Virtualization
    • Resource provisioning based on user needs and network slices in distributed network using matching theory.
  • Spectrum Sharing
    • Developing efficient attack detection model for enhancing the dynamic spectrum allocation and utilization
  • Heterogeneous Networks (HetNets)

Overall, we are here to serve you in the implementation Python Network Programming Projects. Our python developers are glad to develop any kind of complicated research project using their smartness. So, use this chance to avail stress-free development service from our experts..

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