Python Programming Projects

Python Programming Projects

     Python Programming Projects is our mind-blowing research development solution to feed worldwide students and research philosophers with the scope of make miraculous knowledgeable scientific young generation. We invite students (BE, BTech, ME, MTech, MCA and MPhil) and research academicians (MS, PhD) from various streams include electrical & electronic, electrical & communication, computer science, information technology to fulfill their academic project works under our meritorious skillful professionals. It is our part of dream to offer our hand-on experience to students and research community. You can get in touch with us today to conquer your great future.

Python Programming Projects

   Python Programming Projects give the best opportunity for successfully completes your graduation by our admirable highway of guidance. Today, python programming has highly participated in scientific data analysis and scientific simulation. Data visualization is used to drive python by an ease of extensibility, clean language design, the grand wealth of open source libraries to become a standardized tool for programming scientist. We provide real world Python Programming Projects development features for you with our expert assistance and fully energetic development training. We offer professional python programming projects using Numpy, Pandas, Scikit-Learn, OpenCV, Sympy, Flask, Pytorch, TensorFlow, NLTK, Scipy, Matplotlib, BioPython, and many other python data analysis and visualization tools and libraries.

Core Concepts in Python Programming (in Advanced)

  • Context Managers
  • Meta Classes
  • C Extensions
  • Multithreading
  • Exception Handling
  • Introspection
  • Multiprocessing
  • Dynamic Language support (C#, Java)

Noble Features of Python Programming

  • It is a Simple Programming Language, which uses Well-designed Syntax since the programs that easily written to read
  • Python uses Large Standard Library for supporting different programming language tasks along with systematic expressions, reading files modifications and web servers linking
  • Python Interactive Mode that used to test codes short snippets which can easily bundles IDLE i.e. Python Environment

Get Your Python Programming Projects with the our complete support

We support in

   OS Platforms

  • Windows and DOS
  • Mac OS X
  • Linux/UNIX
  • Macintosh
  • BeOS (BeBits-Latest version)
  • IBM (iSeries, System I, AS/400)
  • MorphOS
  • MS-DOS
  • OS/2
  • z/OS and OS/390
  • RISC OS
  • Series 60
  • Solaris
  • VMS port
  • Windows CE/Pocket PC
  • HP-UX
  • Active Python for Linux

Latest Released Versions

  • Python 3.6.2
  • Python 2.7.13
  • Python 3.4.7
  • Python 3.6.1
  • Python 3.4.6
  • Python 3.5.3
  • Python 3.6.0
  • Python 2.7.13
  • Python 3.4.5
  • Python 2.7.12
  • Python 3.4.4
  • Python 3.5.1
  • Python 2.7.10
  • Python 3.4.3

We offer different kinds of Python Interpreters for Project Development. They are:

  • Anaconda(Modern Analytics which is good with Python)
  • Canopy (Python Analysis Environment)
  • CPython(Native Python Interpreter with High Compatability)
  • IronPython(Easily Interface with C#)

Now, let’s view some applications which are developed using Python Programming,

  • Web Application Development (Uses Frameworks and Content Management System)

-Pyramid, Flask, Django, Plone, etc.

  • Numeric and Scientific Computing

-Specific Python libraries support like: EarthPy, AstroPy, NumPy, SciPy, etc.

  • Software Prototypes Creation

-Game prototype creation (Pygame-Games Library)

Python Programming Concepts:

Machine Learning

-Algorithms

  • Decision Tree
  • K-means Clustering
  • Centroid K-means Clustering
  • Elbow method based K-means
  • Text Clustering based K-means
  • Neural Network
  • Linear Regression
  • Deep Learning
  • Logistic Regression Spam filter

-Feature Extraction (Text)

  • Bag of Words using Distance Function
  • Bag of Words and Bag of Visual Words Extraction

-Applications

  • Translation
  • Text to Speech Conversion
  • Speech Recognition

Networking

-Socket programming

  • Network Socket (Client, Server)
  • Telnet
  • Files Downloading

-Web Application

  • Web Scraping using Pandas
  • Python to Read Gmail
  • Webpage Links Getting
  • Web Application

-Others

  • Collect from Router (Python SSH library)
  • Find data on the Internet (Pysnmp Library)
  • Server Virtualization (New Application Provisioning)
  • Juniper devices control and management (PyEZ)

Big Data and Data Analysis

  • Apache Spark
  • Read CSV file using Python

Let’s have one example program that developed using Python Scikit-Neural Network 0.7 Library,

//Code

from sknn.mlp import Classifier, Layer

//Classification

m = Classifier(

layers=[

Layer(“Rectifier”, units=100),

Layer(“Linear”)]

learning_rate=0.04,

n_iteration=15)

//Trained NN as follows

m.fit(a_train, b_train)

b_train=m.predict(a_valid)

score=m.score(a_test,b_test)

//Run using

python examples/plot_mlp.py—params activation

       Scikit-Neural Network 0.7 is a Deep Learning library, which is compatible with Python. It is more user friendly where wrapper as a multi-layer perceptron’s for the effective Lasagne library. This library supports two major functions:

  • Regressors (Measure continuous outputs from inputs)
  • Classifiers (Predict discrete labels from features)

Want to use this library, first install PYPI directory:

          $ pip install scikit-neural network

Latest Python Programming Projects Titles:

  • An effective mechanism for Fusion in Deep Convolutional Neural Networks based on Land Cover Classification by High-Resolution Imagery
  • The new process of Fuzzy Neural Network for Traffic Speed Prediction Considering by Periodic Characteristic
  • An effective mechanism for Recurrent Neural Networks into Correct Satellite Image Classification Maps
  • An effective usage of Band-Adaptive Spectral-Spatial Feature Learning Neural Network by Hyperspectral Image Classification
  • A new mechanism for Forest Change Detection based Incomplete Satellite Images in Deep Neural Networks
  • An efficient performance of Feasibility study based on real-time spiking neural network simulations in swarm intelligence by digital architecture
  • An effective performance for Brain activity recognition based on wearable fNIRS used by neural networks
  • An efficient usage of pipelined and scalable dataflow implementation by convolutional neural networks in FPGA
  • A new mechanism for Long Short-Term Memory based on Quadratic Connections in Recursive Neural Networks within Representing Compositional Semantics
  • An efficient performance for Simple Black-Box Adversarial Attacks based on Deep Neural Networks

 

        For your reference, we afore highlighted some of the significant aspects about Python Programming Projects. We also provide review wise PPT support, customized project, training session on latest technology, project implementation support and more. You can approach us for any kind of queries. We are always available to help you at day and night. Looking for a Specific Python Programming Projects, you just ring us