Python Online Course2020-03-20T08:46:14+00:00

Project Description

Python Online Training

DURATION MODE OF TRAINING LEVEL
6 Weeks Online Advanced

Overview

Python Online Course by Sieve Software: Python is a First Computer programming Language can be learned by many professionals. Python is now the most well-known introduction language at American educational institutions.

Our Python Training course is created to make the trainee efficient in Python programming and is as per the business specifications. Training is offered by Industry specialists and after completion of the course, the applicants shall be offered 100% placement support.

Who Can Learn Python Online Course?

Any Graduate student or Post-Graduate student who is ambitious for an exciting profession towards the dynamic technological innovation can opt for Python Training, Corporate workers who are looking in advance to put into practice latest technologies in their company in order to fulfill the ongoing & upcoming challenges relevant to data management Software Engineers who are into ETL/Programming and wish to discover the exciting job possibilities globally.

Python Course Curriculum

  • Understanding the Open source
  • Installation of python in Linux/windows.
  • Understanding Interpreters
  • ipython
  • bpython
  • Other open source IDE’s
  • Getting started with Python.
  • Setting up using the PEP-8
  • Indentation.
  • Tabs or spaces.
  • Maximum line length.
  • Blank lines.
  • Source file Encoding.
  • creating the first python program.
  • understanding sha-bang.
  • understanding the .py extension.
  • How to run the PYTHON PROGRAM
  • Installation of a module.
  • Understanding the virtualenv.
  • Packaging a module.
  • Packages
  • Introduction to data types.
  • Type casting in python.
  • various ways of printing.
  • Introduction
  • Boolean expressions
  • Logical Operators
  • Using If condition
  • Pass
  • Applying PEP-8 standards
  • Looping statements
  • for
  • while
  • range
  • break
  • Argument passing
  • Default argument list.
  • Keyword arguments.
  • What are lists?
  • Mutable lists.
  • In operator.
  • Traversing a list.
  • List operations.
  • Indexing
  • Slicing.
  • converting a list to string
  • converting a string to list
  • aliasing in lists
  • Functions in lists.
  • What is tuples.
  • Indexing in tuples.
  • slicing in tuples
  • Immutable tuples.
  • Packing and unpacking
  • Lists and tuples.
  • Functions in tuples.
  • What are dictionaries?
  • Keys and values.
  • In operator.
  • Looping in dictionaries.
  • Look ups in dictionaries.
  • Dictionaries and tuples
  • Functions in dictionaries.
  • Dictionaries vs sets.
  • Function basics
  • Scope rules in functions
  • Global scope.
  • Local scope.
  • Locals
  • Globals
  • Understanding the return keyword.
  • trapping errors
  • List comprehensions
  • Lambda, map, filters,
  • Understanding the closures.
  • Decorators
  • Modules:
  • What are modules?
  • Understanding the namespaces
  • Various ways of importing.
  • “reload” operation.
  • understanding about sys path
  • dir function.
  • understand the
  • main and name
  • operation
  • Reading and writing files
  • Methods of File Objects
  • Reading
  • Writing
  • Modify
  • Buffering in files.
  • Parsing a xml files
  • Parsing a xls files
  • Pickles
  • output using Pickle
  • What are exceptions?
  • Simulating errors
  • Various types of exceptions.
  • exception handling try,except,else, finally
  • raising exceptions.
  • Customized exceptions
  • Understanding the regular expressions.
  • Getting started
  • Compiling a pattern.
  • Flags ignorecase, dotall
  • Working with multiple flags.
  • Globbling character,
  • Anchors
  • character
  • Introduction to Debugging
  • Debugging using IDE
  • Various modes to get to pdb.
  • Script mode, Enhanced script mode.
  • Post mortem mode.
  • run mode.
  • Trace mode.
  • Playing with the trace mode.
  • listing
  • step, next
  • continue, break
  • printing variables
  • assigning values
  • Restart and return.
  • Where, stacks
  • OOP: what is object oriented programming.
  • Understanding the classes in python.
  • Lets create a Student database.
  • Using the class statement
  • Methods in classes.
  • Constructor
  • Magic methods.
  • Understanding Inheritance.
  • Understanding Polymorphism.
  • Understanding Encapsulation.
  • Operator overloading.



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