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Python Course

Introduction:
Python, being the most widely used programming language, has become a popular choice for professionals across various industries. It is now the preferred introductory language in educational institutions throughout the United States.

Our Python Training course is designed to equip trainees with the necessary skills to become proficient in Python programming, aligning with industry standards and requirements. The training is delivered by industry experts who possess extensive experience and knowledge in the field.

Who Can Benefit from the Python Course?
The Python Training course is suitable for both graduate and post-graduate students who aspire to pursue a rewarding career in the dynamic field of technology. Additionally, corporate professionals seeking to implement the latest technologies within their organizations to tackle current and future data management challenges can also benefit from this course. Moreover, software engineers involved in ETL (Extract, Transform, Load) and programming who wish to explore exciting job opportunities globally will find value in this training program.

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Curiculum

  • 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
  •  
  • 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
  • Default argument list.
  • Keyword arguments.
  • Functional Programming
  • 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
  • Introduction to subprocess,OS
  • 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
  • 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.

Schedule

Our course schedule is thoughtfully designed to provide flexibility and convenience for our students. We understand that everyone has different commitments and time constraints, which is why we offer various scheduling options to suit your needs.

Monday to Friday (7am – 6pm​)

Saturday & Sunday (9am – 4pm​)
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Upcoming Batches

JUN

27

08:00 AM - 03:30 PM
45 Days
Python Course
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