Course Detail

Course Description

Duration: 42-50 hours class room program, 8 Weekends

Prerequisites: No eligibility, course start right from installation

Lab – 30 hours’ lab sessions + 50 plus exercises + 50 plus assignments

After the classes – Students will easily crack Python interview and have advance knowledge of Python Automation and Data Science with Python

Who get this training Python?

Module-1: Python Introduction

Module 2 – Core Objects and Built-in Functions

Module 3 – Conditional Statements and Loops

Module 4 – UDF Functions and Object Functions

Module 5 – File Handling with Python

Module-6 – Python Modules and Packages

Module 7 – Exceptional Handing and Object Oriented Python

Module-8– Debugging, Framework & Regular expression

Module-9– Database interaction with Python

Module 10 –Package Installation, Windows spreadsheet parsing and webpage scrapping

Module 11 - Parallelism

(Assignment and Live Examples)

Additional Benefits:

• Automation Engineers
• Data analysts and scientist
• Quality Analysts
• DevOps
• System Administrator
• Networking Professionals
• Hadoop programmers
• Robotics Engineers
• Hardware level developers
Syllabus:
• What is Python and history of Python?
• Why Python and where to use it?
• Discussion about Python 2 and Python 3
• Set up Python environment for development
• Demonstration on Python Installation
• Discuss about IDE’s like IDLE, Pycharm and Enthought Canopy
• Discussion about unique feature of Python
• Write first Python Program
• Start programming on interactive shell.
• Using Variables, Keywords
• Interactive and Programming techniques
• Comments and document interlude in Python
• Python Core Objects and builtin functions
• Number Object and operations
• String Object and Operations
• List Object and Operations
• Tuple Object and operations
• Dictionary Object and operations
• Set object and operations
• Boolean Object and None Object
• Different data Structures, data processing
• What are conditional statements?
• How to use the indentations for defining if, else, elif block
• What are loops?
• How to control the loops
• How to iterate through the various object
• Sequence and iterable objects
• What are various type of functions
• Create UDF functions
• Parameterize UDF function, through named and unnamed parameters
• Defining and calling Function
• The anonymous Functions - Lambda Functions
• String Object functions
• List and Tuple Object functions
• Dictionary Object functions
• Process text files using Python
• Read/write and Append file object
• File object functions
• File pointer and seek the pointer
• Truncate the file content and append data
• File test operations using os.path
• Python inbuilt Modules
• os, sys, datetime, time, random, zip modules
• Create Python UDM – User Defined Modules
• Define PYTHONPATH
• Create Python Packages
• init File for package initialization
• Python Exceptions Handling
• What is Exception?
• Handling various exceptions using try....except...else
• Try-finally clause
• Argument of an Exception and create self exception class
• Python Standard Exceptions
• Raising an exceptions, User-Defined Exceptions
• Object oriented features
• Understand real world examples on OOP
• Implement Object oriented with Python
• Creating Classes and Objects, Destroying Objects
• Accessing attributes, Built-In Class Attributes
• Inheritance and Polymorphism
• Overriding Methods, Data Hiding
• Overloading Operators
• Debug Python programs using pdb debugger
• Pycharm Debugger
• Assert statement for debugging
• Testing with Python using UnitTest Framework
• What are regular expressions?
• The match and search Function
• Compile and matching
• Matching vs searching
• Search and Replace feature using RE
• Extended Regular Expressions
• Wildcard characters and work with them
• Creating a Database with SQLite 3,
• CRUD Operations,
• Creating a Database Object.
• Python MySQL Database Access
• DML and DDL Operations with Databases
• Performing Transactions
• Handling Database Errors
• Disconnecting Database
• Install package using Pycharm
• What is pip, easy_install
• Set up the environment to install packages?
• Install packages for XLS interface and XLS parsing with Python
• Create XLS reports with Python
• Introduction to web scraping and beautiful soup
• GIL
• Multithreading in Python
• Create Threads with parameters
• Create Daemon and Non Daemon processes
• Multiprocessing in Python
• Real time examples with live project for Google finance data extractions
• Sample resumes helping you to create your resume
• Hard copy study material
• We provide real time scenarios examples, how to work in real time projects
• We guide for resume preparation by giving sample resume
• Will give you 2 POC (proof Of Concept) with Data set so that you can practice before going for interview
• In 2 months training we provide study material’s soft copy in classroom itself
• We provide hands –on in class room itself so that you can understand concepts 100%
• We give assignments every week for practice