Description

Python is one of the most time-tested, flexible and reliable open-source languages which is easy to learn and use. Python also has efficient and powerful libraries for analysis and data manipulation. For specialized computing, Python is used in varying domains such as oil and gas, finance, Physics and many more. The inbuilt debugger in Python makes debugging a relatively effortless task. The usage of Python increases programmer productivity and also improves the end programs greatly. With Python, one will be able to master web and game development and gain a strong foothold as a programmer in the IT domain. On successful completion of Python training always assures a job in Big Data Hadoop environment for relatively higher salaries.

 

Job Outlook:

Job Outlooks - Python

Objective

After the completion of this course, Trainee will:

1. Master the basic and advanced concepts of Python
2. Learn about File and Sequence Operations
3. Understand Python scripts on Unix/Windows, Python editors and IDEs
4. Learn about the significance and installation
5. Learn how to use and create functions, sorting different elements, Lambda function, error and exception handling techniques and Regular expressions using modules in Python
6. Understand Socket programming by working on real-time projects such as FAQ Chat Application and Port Scanning Software
7. Learn working with MySQL database by installing MySQL-server, creating database and connecting MySQL and Python
8. Master Python Frameworks such as DJANGO and FLASK

 

Pre-requisites

1. Prior programming experience is desirable but not necessary along with familiarity with basic concepts like variables and scope, functions and flow control
2. Basic knowledge of object-oriented programming concepts is preferred but not mandatory

 

Who should attend this Training?

This certification is highly suitable for a wide range of professionals either aspiring to or are already in the IT domain, such as:

 

1. Professionals aspiring to make a career out of Big Data Analytics utilizing Python
2. Software Professionals
3. Analytics Professionals
4. ETL Developers
5. Project Managers
6. Testing Professionals
7. Other professionals who are looking for a solid foundation on open-source general purpose scripting language also can opt this training

 

Prepare for Certification

Our training and certification program gives you a solid understanding of the key topics covered on the Oreilly’s Python Certification. In addition to boosting your income potential, getting certified in Python demonstrates your knowledge of the skills necessary to be a successful Python Developer. The certification validates your ability to produce reliable, high-quality results with increased efficiency and consistency.

 

 

Curriculum:

 

Unit 1: Introduction

1. Understanding the Open Source

1. Installation of Python in Linux/window
2. Understanding Interpreters

1. Ipython
2. Bpython

1. Getting started with Python
2. Getting to understand Help

                Exploring the Objects

Setting up the IDE and various IDEs (Integrated Development Environment)

Setting up using the PEP-8

Indentation

Tabs or spaces

Maximum line length

Blank lines

Source files Encoding

Creating the first Python Program

Understanding sha-bang

Understanding the .py extension

How to run the python programs

 

Unit 2: Types and Operators

Introduction to Data Types

Type casting in Python

Various ways of Printing

Boolean Operators

Playing with Numbers

Playing with Strings

String Quotes

Raw Strings

Docstring & Comments

Accepting Inputs

 

Unit 3: Control Statements

Conditional Statements

Introduction

Boolean Expressions

Logical Operators

Using If Condition

Pass

Applying PEP-8 Standards

Looping Statements

For

While

Range

Break

Pass

continue

 

Unit 4: Lists

What are Lists?

Mutable List

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

 

Unit 5: Tuples

What is Tuples?

Indexing in Tuples

Slicing in Tuples

Immutable Tuples

Packing and Unpacking

Lists and Tuples

Functions in Tuples

 

Unit 6: Dictionaries

What are Dictionaries?

Keys and Values

In Operator

Looping in Dictionaries

Lookups in Dictionaries

Dictionaries and Tuples

Functions in Dictionaries

Dictionaries vs Sets

 

Unit 7: Functions

Function Basics

Scope rules in Functions

Global Scope

Local Scope

Locals

Globals

Global

Understanding the Return Keyword

Argument Passing

Default Argument List

Keyword Arguments

Understanding the Docstrings

List Comprehensions

Lambda, Map and Filters

Understanding the Closures

Decorators

 

Unit 8: 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

Installation of a module

Understanding the virtualenv Packaging a module Packages

 

Unit 9: Files

Fancier Output Formatting

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

 

 

Unit 10: Exceptions

What are Exceptions

Simulating Errors

Various types of Exceptions

Exception Handling - try,except,else,finally

Trapping Errors

Raising Exceptions

Customized Exceptions

 

Unit 11: Regular Expressions

Understanding the Regular Expressions

Getting Started

Compiling a Pattern

Flags - ignorecase, dotall

Working with Multiple Flags

Search vs Match

Raw String Notations

Special Characters

Globbling Characters

Anchors

Character Sets

Grouping

 

Unit 12: Debugging

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, breakpoints

 Repeat

 

Unit 13: Logging

Understanding Logging

When to use logging

Understanding the log levels

Understanding Stream Handling using Basic

Config

Understanding Logger

Understanding Handlers

Understanding Formatters

Understanding Filters

Demo: Playing with the Syslog Handlers

Demo: Playing with the Stream Handlers

Demo: Playing with the File Handlers

 

Unit 14: Classes

OOP: What is Object Oriented Programming

Understanding the Classes in Python

Let's create a Bank Account

Using the Class Statement

Methods in Classes

Constructor

Magic Methods

Understanding Inheritance

Understanding Polymorphism

Understanding Encapsulation

Operator Overloading

 

Unit 15: Socket Programming

Introduction

Understanding Basics

Routing

Protocols - udp & tcp

Working with Sockets

How to connect to Server

Connect on Port

Sending Data

Receiving Data

How to close the socket

Programming a Socket Server

Bind a Socket

Listen to incoming Connections

Accept Connections

Live Server

Handing Connections

Thread Class

Thread Library

Thread Pool

Task Thread

Multiprocessing Demo: Common Chat ApplicationDemo: FAQ Chat ApplicationDemo - Port Scanning Software

 

Unit 16: Database Connectivity

1. Introduction

1. Working with mysql Databases

 

1. How to install mysql-server
2. How to know what modules to install
3. Creating a Database
4. Creation of the user and giving grants
5. Granting access to the Users
6. Connecting mysql and python

 

1. Python and Mysql

 

1. Creating and populating a table
2. Retrieving data
3. Dictionary cursors
4. Column headers

 

1. Integration with various databases ( Mariadb, oracle)
2. Introduction to ORM and sqlalchemy

 

Unit 17: CGI Programming

1. Introduction
2. Getting Started with CGI
3. Configuring Apache
4. Configuring CGI

 

Unit 18: Multithreading

1. Data Analysis Basics
2. Pandas
3. Nampy
4. Matplotlib          

 

Unit 19: Introduction TO Python Frameworks

1. DJANGO
2. FLASK