. Python Language - Technolors
  • +91 8377-00-1477
  • 3rd Floor, I Block, Sector 22 Noida( Next to 12/22 Chowk, BoI)
  • 9:00 A.M - 19:00 P.M

FREE Hands-on Hadoop BigData Demonstration class by Highly Experienced BigData IIT professional on coming Saturday 11 to 12 pm !! Please call @ +91 8377-00-1477 for more details.......

Python Language

Python Training Course Reviews Average of 4.7 out of 5 based on 91 Votes

Technolors Provides expert training on Weekends and Weekdays on various Python streams

  • Python for Automation
  • Python for Data Science/Analytics
  • Python for Web development
  • Python for Devops
  • Python for Cloud & Networking

Students can choose any of the module. Please refer syllabus

This course is expected to take two months with total 18-20 classes, each class is having three-four hours training. It can take lesser time if the number of hours per day is increased. 60 hours class room program.

No pre requisite required for the classes . Appreciate to have the basic knowledge of any programming language.

Duration: 54-60 hours class room program.
Prerequisites: No eligibility, course start right from installation
Lab: 30 hours’ lab sessions + 54 plus exercises + 45 plus assignments (7 Mini Projects)

Technolors  Copyright Python Study Material

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?

  • Automation Engineers
  • Data analysts and scientist
  • Quality Analysts
  • DevOps
  • System Administrator
  • Networking Professionals
  • Hadoop programmers
  • Robotics Engineers
  • Hardware level developers

Live Projects and 4 POC’s

We provide real time scenarios examples, how to work in real time projects
We guide for resume preparation by giving sample resume
We provide hands –on in class room itself so that you can understand concepts 100%
We give assignments for weekdays practice

 

 

Module-1: Python Foundation (Mandatory)

  • 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
  • Practical use cases using data analysis
  • Introduction to Hadoop

Core Objects and Built-in Functions

  • 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

Conditional Statements and Loops

  • 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

UDF Functions and Object Functions

  • 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

File Handling with Python

  • 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

Module-2 – Python Advance (Mandatory)

  • 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

Exceptional Handing and Object Oriented Python

  • 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

Debugging, Framework & Regular expression

  • 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

Database interaction with Python

  • 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

Package Installation, Windows spreadsheet parsing and webpage scrapping

  • 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

Machine Learning with Python

  • Understanding Machine Leaning?
  • Areas of Implementation of Machine Learning,
  • Why companies prefer ML
  • Major Classes of Learning Algorithms
  • Supervised vs Unsupervised Learning, Learning
  • Why Numpy?
  • Learn Numpy and Scipy,
  • Basic plotting using Matplotlib
  • Algorithms using Skikit learn

Data Analysis with Pandas

  • What is Pandas
  • Creating Series and Data Frames
  • Data Mining, Data Extraction, Data Analysis
  • Data Filter, Data Merging and Data Appending
  • Grouping, Sorting
  • Reading CSV, JSON, XML, XLS using pandas
  • Plotting Data/Create Graphs and Analysis using Matplotlib
  • Data analysis with data set

Hadoop dataprocessing with Python

  • Introduction of Big Data
  • Why Big Data
  • Hadoop Eco system
  • Understanding problem statements
  • Market  data Analysis with Python
  • HDFS file system
  • Cloudera Cluster of single node
  • Map Reduce using Python
  • Introduction to MrJob Package

Mini Projects:

  • Data Analysis of TCS trade share (NSE) using MySQL Database system
  • Data Analysis of IMDB Movies dataset using Pandas Framework
  • Develop Hadoop Mar Reduce to process 10M records from movielens dataset and do analysis
  • Predict Stock and house price using machine learning algorithm and plot graphs

Module 4 - Python for Automation Testing (Optional Module)

Introduction to Automation Testing
  • Introduction to testing.
  • Testing concepts.
  • Need of automation
  • Types of automation Frameworks.
  • UI Automation – Selenium Library
  •         -Navigating
  •         -Locating Elements
  •         -Waits
  • Basics of APIs
  • Different types of APIs
  • API AUTOMATION – Request Module

Python UNIT TEST Framework

  • Basic Test Structure
  • Running Tests Cases
  • Test Outcomes
  • Types of Asserts statement
  • Intrudction to Test Fixtures
  • Introduction to Test Suites
  •  Test Discovery with UNIT Test Framework

Python Nose Framework

  • Installation
  • Running nose
  • Nose fixtures
  • Testing markdown.py
  • Nose assert_equals
  • Test discovery
  • Running unittests from nose
  • Running doctests from nose
  • Integration of Nose with HTML

Python ROBOT Framework - RIDE

  • Introduction to Robot Framework
  • Architecture
  • Test Libraries
  • Installation and Configuration of Robot Framework and Ride
  • Suite Test Setup and Teardown
  • Tags: Tags for individual Testcases, Force Tags for Suite Level. Include or Exclude Tests or Suites based on the Tags
  • Reports & Logs – Creating reports with customized file names, Creating Reports with Specified Titles
  • Write Keywords in RF actually implemented in Python scripts

Module 5 - Python for Web Development - Django (Optional Module)

Django Introduction, Installation and Setup

  • Introduction to Django Framework
  • Django Principles
  •  Install and create virtualenv
  • Install Django and production ready setup.

Django Project, Concept and Demo

  • Creating A New project
  • Running the Development Server
  • Django Apps
  • URLs and Views
  • URL Mapping — emphasis on Python regex
  • HTTP protocol Fundamentals
  • Django Views — render/HttpResponse Method
  • Django Templates
  • Static Files — CSS, JavaScript and Images
  • Model, Template and View (MTV) Design Pattern

Models in Detail

  • Django Model Classes — SQL Mapping
  • Field Types
  • Generating Databases
  • SQL Queries
  • Manage.py Database Commands
  • Django Admin Interface — superuser
  • Implement __str__ for your Model Classes
  • The Model API
  • SAVE and Delete

Views and Templates in Detail

  • Adding Login and Logout Views
  • A template for the Home Page
  • Authorization with Django
  • Overview of all HTML Elements
  • CSS Overview
  • Templates: Tags and Variables
  • Adding the HOME View
  • URL Mapping for APPS
  • Template Inheritance
  • Login required — Handling issues with Login using decorators
  • Template Context
  • Templates – For, Include

Forms in Detail

  • Django Forms — Model Class
  • Views and Forms
  • Templates and Forms — csrf_token tag
  • Styling forms using django-crispy- forms
  • Verbose Name for display in forms
  • Help Text to show the text to help the user
  • Make a Field nullable — null=True
  • Allow empty text Field — blank=True
  • Showing Invitation
  • Accepting Invitation
  • Named Groups in URLs
  • Fat Models, skinny views
  • URLs: Reverse and get_absolute_url

Micro services, Rest API/Framework and Test Cases.

  • Micro-services, concept and architecture in detail.
  • Writing Micro-services.
  • Rest Framework and API, concept.
  • Writing Rest Services, sending and receiving JSON Data
  • Writing Test Cases and Automated Testing Framework.

Mini Projects

  • Creating a complete User Profile and Home Page.
  • Creating and Managing Poll Application.
  • Tic-Tac- Toe Game.

(Assignment and Live Examples)

  • Sample resumes helping you to create your resume
  • Hard copy study material
  • Access to Dropbox and whatapp group of students

FREE Hands-on Hadoop BigData Demonstration class by Highly Experienced BigData IIT professional on coming Saturday 11 to 12 pm !! Please call @ +91 8377-00-1477 for more details.......