PYTHON ASSIGNMENT HELP

 

 

 

PYTHON ASSIGNMENT HELP

     Python Assignment Help is a self less service started by top experts in order to provide complete support for students regarding their python based projects, assignments and research work. Python has gained significant importance in these days due to its high applicability in all major applications. Its supports like enterprise application integration, advanced graphical support and object oriented programming support makes it more user friendly and attractive. We offer our complete support for scholars and students, who wish to have Python Assignment Help. We have provided below, an overview about Python as an initial step of our online guidance support.

WHY TO GO FOR PYTHON LANGUAGE:

  • Open source language with extensive libraries
  • Easy to learn and user friendly data structures
  • Provides support for third party modules and enhanced productivity and speed
  • Provides a robust, flexible and free platform
  • Offers wider set of toolsets and graphics features as compared to other languages

PYTHON ASSIGNMENT HELP………………….

                      OUR SUPPORT AND GUIDANCE FOR YOUR SUCCESS……………..

EXPLORE ABOUT PYTHON:

PYTHON:

  • Widely used high level, interpreted dynamic programming language
  • Latest version[python 3.5.2]
  • Free and open source programming approach
  • Supports multiple programming paradigms[including object oriented, imperative and functional programming]
  • File extensions used[.py,.pyc,.pyo,.pyw,.pyz]

Python based plugins:

  • Jython[compiles into java byte code]
  • IronPython
  • Rpython
  • Pyjamas
  • Shed Skin
  • Cython

Highlighted features about Python:

  • It can be expressed in fewer lines of codes as compared to other languages like C++ and Java
  • Uses dynamic typing and mix of reference counting
  • Supports functional programming in Lisp tradition
  • Python can be interfaced with Arduino using PySerial
  • Security in python is enhanced through three ways:

   Using White box analysis[structural and functional analysis]

   Developing security hardened python suitable for high security and high risk environments.

   Using black box analysis[identify security related issues]

Platform Support:

Runs on Microsoft, Linux, Windows, MAC OS X

Python for other platforms:

  • Python for AS/400
  • Python for BeOS
  • MorphOS
  • MS-DOS
  • OS/2
  • OS/390 and z/OS
  • RISC OS
  • Python for Series 60
  • Solaris
  • Python for VMS
  • Window CE or packet PC
  • Python for HP-UX
  • Alternate python packages for Linux[Active Python]

TOOLS SUPPORT FOR PYTHON:

  • Integrated development Environment for Python[Atom,Boa constructor, EasyEclipse, Eric, Geany, Koding, Eclipse with Pydev plugin, NetBeans, Komodo IDE, Ninja IDE, PIDA, PyCharm, PyScripter, PythonAnywhere, Sublime text, Stani’s python Editor, python tools for Visual Studio, Sublime text, Wing IDE, Webware for python ]
  • Python Application Support Tools[Anki, Bazaar, Ansible, BitTorrent, BitBake, Blender, Buildbot, Caliber, Buildout,Cinema 4D, Chandler, Conch, Dropbox, Deluge, Exaile, Gajim, emesene, Gramps, GlobaLeaks, Gunicorn, Gwibber, Image packaging system, Mercurial, Miro]
  • Web Application python tools[Allura,ERP5, Bloodhound, Kallithea,Mailman, MoinMoin, OpenERP, Planet, Roundup,Plone, Tor2web, Trac,ViewVC ]

IMPORTANT TECHNIQUES AND ALGORITHM SUPPORT:

Data mining Algorithm in Python:

  • K-Means algorithm
  • 5
  • Support vector machines
  • Apriori
  • PageRank
  • Expectation Maximization
  • AdaBoost
  • Naïve Bayes
  • CART and K-Nearest neighbour

Image segmentation techniques using python:

  • Region based Image segmentation
  • Edge based Image segmentation
  • ANN based Image segmentation
  • Fuzzy theory based Image segmentation
  • PDE based Image segmentation
  • Threshold based Image segmentation

Image processing Techniques:

  • Image filtering
  • Hidden Markov Model
  • 3D hand model based approach
  • Appearance based approach
  • Hough transform
  • Geometric features and FFT
  • Fuzzy clustering algorithm
  • Principal component analysis
  • Pixel pattern based texture feature

APPLICABILITY OF PYTHON:

-For Network Optimization and design:

  • Queuing theory
  • Random variables and design
  • Discrete event simulation
  • Topology design
  • Network visualization and Information sharing
  • Multi layer design and network dimensioning design problems
  • Shortest path networking design

-Video games using Python:

  • Disney’s Toontown online
  • Civilization IV
  • Eve Online
  • Vega Strike
  • Frets on fire
  • Temple of Elemental Evil

-Python for AI[AIMA, PyDatalog, SimpleAI, EasyAI]

-Python in Machine learning[Graphlab create, Orange, feature forge, PyBrain,PyML, MIPy, Milk, Scikit-learn, Shogun, LibSVM, Weka Monte SOm, MDP-ToolKit, Yalign]

-Python in Natural Language and Text processing[NLTK, gensim,Quepy]

-Python in Neural network[Neurolab, FANN,ffnet,PyAnn and pyrenn ]

PYTHON LIBRARY SUPPORT:

General Libraries

  • Basic and general resources[CmdModule, VenomPackage]
  • Visualization, graphics and games library
  • Web security and cryptography[SSLCrypto, PyCBC, PyCrypto etc]
  • Data compression[PyLZMA]
  • Language processing and parsing[SPARK,NLTK,mxTextTools, PLY,libextractor]

Application Support Libraries:

  • AppLogging
  • AppInternationalization
  • Engineeringlibraries
  • Graphics and images
  • Audiolibrary
  • Database interfaces
  • Internet support
  • Language parsing
  • Platform extensions
  • Networking support
  • Option parsing
  • Web services support

FRAMEWORK AND INTERFACE IN PYTHON:

APPLICATION FRAMEWORKS:

-Business Application framework[GnuEnterprise]

-PEAK enterprise framework

-Graphical framework[Envisage, KIWI]

-Middleware[Pthomnic3k]

-Networking framework[Allegra, Medusa, TwistedMatrix, Web programming]

  • Web Frameworks[Bluebream, CherryPy, Flask,Django, Bottle,Grok, Nevow,Nagare, Pylons, Nevow, Pyramid, Quixote, Python paste, Spyce,tornado,RapidSMS, TurboGEars,Zope 2, Webware for python ]
  • Graphics Framework[Pygame, Python Imaging library, Soya3D, Python Ogre]
  • UI framework[Kivy, PyGTK, PySide, PyQt, Tkinter,wxPython ]
  • Scientific packages[Astropy, graph-tool, Biopython, NetworkX,Scipy, SymPy, TomoPy, VisTrails, Veusz]
  • Mathematical Libraries[Matplotlib,NumPy, Plotly, Synpy, sage ]
  • Application development packages[Cherry, Genshi, Cheetah, Ipython,Mako,mod_python, Peewee, kid, Jinja, Robot framewok, PyObjC, Sphinx, SQLObject, Storm,Topsite Templating system, VPython, Twisted]

Recent Libraries used in major research areas:

  • iGraph[Network analysis]
  • NLTK and CoreNLP[Text analysis]
  • Statsmodels[Econometrics]
  • Ggplot and seaborn[Graphics]
  • Dask and pyspark[Big data]
  • Arcpy and geopandas[Geo-spatial analysis]

PYTHON GUI AND DATABASE SUPPORT:

-Python GUI support[Use of Tkinter, wxPython, Jpython ]

-Database Support:

Generic database Interface[Python DB-API]:

  • ODBC and ADO support
  • JDBC support[For Jython]

Database Interface for Relational Database System:

  • General purpose database system[IBM DB2, Informix, Firebird, Oracle, Ingres, PostgreSQL, SAP DB,Sybase, Microsoft access, Microsoft SQL server]
  • Data warehouse database system[Teradata, IBM Netezza]
  • Database systems for embedding systems[asql, GadFly, SQLite, ThinkSQL ]

Non-Relational Databases:

  • Record based databases[Metakit, Durus, atop,BerkeleyDB,buzhug, kirbyBase, ZODB]
  • XML Database[4Suite server, Oracle DB XML]
  • Graph database[Neo4j]
  • Native Python Database[buzhug, SnakeSQL]

MAJOR APPLICATIONS OF PYTHON:

  • Web and Internet development using python

            -Uses Django and pyramid frameworks

          -Provide standard library for many Internet protocols[HTML, JSON,FTP, IMAP, E-mail processing etc]

  • Used in Scientific and Numeric computing[Using Scipy,Pandas, Ipython]
  • Used in Educational field[used for teaching programming]
  • Used for software development[SCons, Buildbot, Apache Gump, Roundup/Trac]
  • Used in Neuroscience application
  • Used in network intensive applications
  • Used for Application scripting and Software testing
  • Used for desktop development and prototyping

 

  We have provided few major applications of Python along with its major highlights. You can have an online session with us anytime to get guidance on any assignment topics, projects or lab cycles in python along with supported documents. Just send your requirement along with your need; we will give you your requirement on your flexible time.

 

PYTHON ASSIGNMENT HELP………………….

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