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. It has also 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 also object oriented programming support makes it more user friendly and attractive. We also offer our complete support for scholars and students, who wish to have Python-Assignment-Help. We have provided below, an overview about Python also as an initial step of our online guidance support.

WHY TO GO FOR PYTHON-LANGUAGE
  • Open source language also with extensive libraries
  • Easy to learn and also user friendly data structures
  • Provides support also for third party modules and enhanced productivity and speed
  • It Provides a robust, flexible and also free platform
  • Offers wider set of toolsets and also graphics features as compared to other languages
PYTHON ASSIGNMENT HELP………………….
OUR SUPPORT AND GUIDANCE FOR YOUR SUCCESS……………..
EXPLORE ABOUT PYTHON:
PYTHON:
  • Widely also used high level, interpreted dynamic programming language
  • Latest version[python 3.5.2]
  • Free and also open source programming approach
  • Supports multiple programming paradigms[including object oriented, imperative and also functional programming]
  • File extensions used[.py,.pyc,.pyo,.pyw,also .pyz]
Python based plugins:
  • Jython[compiles into java byte code]
  • IronPython
  • Rpython
  • Pyjamas
  • Shed Skin
  • Also in Cython
Highlighted features about Python:
  • It can also expressed in fewer lines of codes as compared to other languages like C++ and also Java
  • Uses dynamic typing and also mix of reference counting
  • Supports functional programming also in Lisp tradition
  • Python can be interfaced also with Arduino using PySerial
  • Security in python is also enhanced through three ways:
    •    Using White box analysis[structural and also functional analysis]
    •   Developing security hardened python suitable also for high security and high risk environments.
    •   Using black box analysis[identify security related issues]
Platform Support:
  • Runs on Microsoft, Linux, Windows, also MAC OS X
  • Python for other platforms:
    • Python-for-AS/400
    • Python also for BeOS
    • MorphOS
    • MS-DOS
    • OS/2
    • OS/390 and z/OS
    • RISC OS
    • Python for Series 60
    • Solaris
    • Python also for VMS
    • Window CE or packet PC
    • Python also for HP-UX
    • Alternate python packages also for Linux[Active Python]
TOOLS SUPPORT FOR PYTHON:
  • Integrated development Environment for Python[Atom,Boa constructor, EasyEclipse, Eric, Geany, Koding, Eclipse also with Pydev plugin, NetBeans, Komodo IDE, Ninja IDE, PIDA, PyCharm, PyScripter, PythonAnywhere, Sublime text, Stani’s python Editor, python tools also for Visual Studio, Sublime text, Wing IDE, Webware for python ]
  • Python Application Support Tools[Anki, Bazaar, Ansible, BitTorrent, BitBake, Blender, Buildbot, Caliber, also Buildout,Cinema 4D, Chandler, Conch, Dropbox, Deluge, Exaile, Gajim, emesene, also Gramps, GlobaLeaks, Gunicorn, Gwibber, Image packaging system, also Mercurial, Miro]
  • Web Application python tools[Allura,ERP5, Bloodhound, Kallithea,Mailman, MoinMoin, OpenERP, Planet, Roundup,Plone, Tor2web, also 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 also K-Nearest neighbour
Image segmentation techniques using python:
  • Region also based Image segmentation
  • Edge also based Image segmentation
  • ANN also based Image segmentation
  • Fuzzy theory also based Image segmentation
  • PDE also based Image segmentation
  • Threshold also based Image segmentation
Image processing Techniques:
  • Image filtering
  • Hidden Markov Model
  • 3D hand model also based approach
  • Appearance also based approach
  • Hough transform
  • Geometric features and also FFT
  • Fuzzy clustering algorithm
  • Principal component analysis
  • Pixel pattern also based texture feature
APPLICABILITY OF PYTHON:
-For Network Optimization and design:
  • Queuing theory
  • Random variables and also design
  • Discrete event simulation
  • Topology design
  • Network visualization and also Information sharing
  • Multi layer design and also 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, also VenomPackage]
  • Visualization, graphics and also games library
  • Web security and cryptography[SSLCrypto, PyCBC, also PyCrypto etc]
  • Data compression[PyLZMA]
  • Language processing and parsing[SPARK,NLTK,mxTextTools, PLY, also libextractor]
Application Support Libraries:
  • AppLogging
  • AppInternationalization
  • Engineeringlibraries
  • Graphics and images
  • Audiolibrary
  • Database interfaces
  • Internet support
  • Language parsing
  • Platform extensions
  • Networking support
  • Option parsing
  • And also Web services support
FRAMEWORK AND INTERFACE IN PYTHON:
APPLICATION FRAMEWORKS:
  • -Business Application framework[GnuEnterprise]
  • -PEAK enterprise framework
  • -Graphical framework[Envisage, also KIWI]
  • -Middleware[Pthomnic3k]
  • -Networking framework[Allegra, Medusa, TwistedMatrix, also 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 also for python ]
    • Graphics Framework[Pygame, Python Imaging library, Soya3D, also Python Ogre]
    • UI framework[Kivy, PyGTK, PySide, PyQt, Tkinter,also wxPython ]
    • Scientific packages[Astropy, graph-tool, Biopython, NetworkX,Scipy, SymPy, TomoPy, VisTrails, also Veusz]
    • Mathematical Libraries[Matplotlib,NumPy, Plotly, Synpy, also sage ]
    • Application development packages[Cherry, Genshi, Cheetah, Ipython,Mako,mod_python, Peewee, kid, Jinja, Robot framewok, PyObjC, Sphinx, SQLObject, Storm,Topsite Templating system, VPython, also Twisted]
Recent Libraries used in major research areas:
  • iGraph[Network analysis]
  • NLTK and also CoreNLP[Text analysis]
  • Statsmodels[Econometrics]
  • Ggplot and also seaborn[Graphics]
  • Dask and also pyspark[Big data]
  • Arcpy and also 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 also 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, also Microsoft SQL server]
  • Data warehouse database system[Teradata, also IBM Netezza]
  • Database systems for embedding systems[asql, GadFly, SQLite, also ThinkSQL ]
Non-Relational Databases:
  • Record based databases[Metakit, Durus, atop,BerkeleyDB,buzhug, kirbyBase, also ZODB]
  • XML Database[4Suite server, also Oracle DB XML]
  • Graph database[Neo4j]
  • Native Python Database[buzhug, also SnakeSQL]
MAJOR APPLICATIONS OF PYTHON:
  • Web and Internet development using python
    • -Uses Django and also pyramid frameworks
    • -Provide standard library also for many Internet protocols[HTML, JSON,FTP, IMAP, E-mail processing etc]
  • Used in Scientific and also Numeric computing[Using Scipy,Pandas, Ipython]
  • Also Used in Educational field[also used for teaching programming]
  • Used for software development[SCons, Buildbot, also Apache Gump, Roundup/Trac]
  • Also Used in Neuroscience application
  • Used in network intensive applications
  • Also Used for Application scripting and Software testing
  • Used also for desktop development and prototyping

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

PYTHON ASSIGNMENT HELP………………….
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