Data Science Training in Bangalore

About Python :

About AMC Technologies :
We offer python training in bangalore that covers strong basics in Python 3.7, intermediate level, advanced concepts, usage of database, network and sockets with Python. You can also learn building business applications with Core Python and web applications with Django.Python programming is no more a rocket science, get the best python training in bangalore from us will help you work in top-notch IT companies such as Google, IBM, Yahoo, Amazon, Accenture, Capegemini and more. With better understanding about the trending technologies, we are the best among the python training institutes in bangalore. At AMC Technology, you can have in-depth learning and acquire the skills to apply the most effective tactics at the right time.

Why Python?

What makes Python so special? How does it happen that programmers, young and old, experienced and novice, want to use it? How did it happen that large companies adopted Python and implemented their flagship products using it?

There are many reasons – we’ve listed some of them already, but let’s enumerate them again in a more practical manner:

  • it’s easy to learn – the time needed to learn Python is shorter than for many other languages; this means that it’s possible to start the actual programming faster
  • it’s easy to teach – the teaching workload is smaller than that needed by other languages; this means that the teacher can put more emphasis on general (language-independent) programming techniques, not wasting energy on exotic tricks, strange exceptions and incomprehensible rules
  • it’s easy to use for writing new software – it’s often possible to write code faster when using Python
  • it’s easy to understand – it’s also often easier to understand someone else’s code faster if it is written in Python
  • it’s easy to obtain, install and deploy – Python is free, open and multi plat form; not all languages can boast that.

Who Should Attend The Python Training

  • Beginners who want to acquire Python scripting skills
  • Advanced Python users, who want to take their skills to the next level
  • System Administrators who want to automate their day to day tasks using Python
  • Network Administrators who want use Python to automate the task of managing large networks
  • Database Admin, database programmers
  • Web Developers
  • Testers who want to move into Python based automation
  • Fresh Graduates looking for  their first job
  • Mobile Testers
  • Automation Engineers

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Course Descriptions:

  • An Introduction To Python
  • Introductory Remarks About Python
  • Strengths and Weaknesses
  • A Brief History of Python
  • Python Versions
  • Installing Python
  • Environment Variables
  • Executing Python From The Command Line
  • IDLE
  • Editing Python Files
  • Getting Help
  • Dynamic Types
  • Python Reserved Words
  • Naming Conventions
  • Language Evolution
  • Python Reserved Words and Other Rules
  • Documentation
  • The String Class
  • Variables
  • Data types
  • Boolean and numeric types
  • Strings
  • Lists and Tuples
  • Sets
  • Sequences
  • Looping Through Sequences
  • Dictionaries
  • Bit variables
  • Modules
  • Reading files
  • Some file tests
  • Introduction
  • Basic Syntax
  • Comments
  • String Values
  • String Operations
  • The Format Method
  • String Slices
  • String Operators
  • Numeric Data Types
  • Conversions
  • Simple Input and Output
  • The Print Function
  • Introduction
  • Control Flow and Syntax
  • Indenting
  • The if Statement
  • Relational Operators
  • Logical Operators
  • True or False
  • Bit Wise Operators
  • The While Loop
  • Break and Continue
  • The for Loop
  • Introduction
  • lists
  • Tuples
  • Sets
  • Dictionaries
  • Sorting Dictionaries
  • Copying Collections
  • Summary
  • Introduction
  • Defining your own Functions
  • Parameters
  • Function Documentation
  • Keyword and Optional Parameters
  • Passing Collections to a Function
  • Variable Number of Arguments
  • Scope
  • Functions
  • Passing Functions to a Function
  • Mapping Functions in a Dictionary
  • Lambda
  • Closures
  • Standard Modules – Sys
  • Standard Modules – Math
  • Standard Modules – Time
  • The Dir Function
  • Errors
  • Run Time Errors
  • The Exception Mode
  • Exception Hierarchy
  • Handling Multiple Exceptions
  • Raise
  • Assert
  • Writing your Own Exception Classes
  • Introduction
  • Data Streams
  • Creating Your Own Data Streams
  • Access Modes
  • Writing Data to a File
  • Reading Data from a File
  • Additional file Methods
  • Using pipes as Data Streams
  • Handling IO Exceptions
  • Working with Directories
  • Metadata
  • The pickle Module
  • Classes in Python
  • Principles of Object Orientation
  • Creating Classes
  • Instance Methods
  • File Organization
  • Special Methods
  • Class Variables
  • Inheritance
  • Polymorphism
  • Type Identification
  • Custom Exception Casses
  • Introduction
  • Simple Character Matches
  • Special Characters
  • Character Classes
  • Quantifiers
  • The dot character
  • Greedy Matches
  • Grouping
  • Matching at beginning or end
  • Match objects
  • Substituting
  • Splitting a string
  • Compiling regular expressions
  • Flags
  • Introduction
  • Why Django?
  • Batteries Included
  • Django Principles
  • What you Should Already Know
  • Course Overview
  • Choosing your Versions
  • Instalpng Pip and Python on Windows
  • Demo: Windows Installation
  • Instalpng Pip and Python on Mac OS X
  • Demo: OS X Installation
  • Instalpng Pip and Python on Linux
  • Demo: Linux Installation
  • Virtualenv
  • Demo: Virtualenv
  • Instalpng Django
  • Summary
  • Introduction
  • Creating a Django Project
  • Demo: Creating a Django Project
  • The Model-Template-View Pattern
  • Demo: Hello, World!
  • Mapping URLs
  • Demo: URL Mapping
  • Django Views
  • Demo: Templates
  • Introduction
  • Demo: Adding Models
  • Django Model Classes
  • Manage.py Database Commands
  • Demo: The Admin Interface
  • The Django Admin Interface
  • Demo: The Model API
  • Save and Delete
  • The Model API
  • Database Relations
  • Introduction
  • Demo: Adding Login and Logout Views
  • More about URL Mappings
  • Demo: A Template for the Home Page
  • Authorization with Django
  • More about Django Templates
  • Demo: Adding the Home View
  • URL Mappings for Apps
  • Demo: Template Inheritance
  • Template Inheritance
  • Demo: Login Required
  • Demo: Showing Game Data on the Home Page
  • Demo: A Custom Manager Class
  • The Template Context
  • Templates: For and Include Tags
  • Introduction
  • Demo: Adding a HTML Form
  • Using Django Forms
  • Demo: Adding Stypng to the Form with Crispy-Forms
  • Demo: Field Options
  • Field Options
  • Demo: Showing Invitations in a List
  • Demo: Accepting Invitations
  • Demo: Named Groups
  • Named Groups in URLs
  • Introduction
  • Class-based Views
  • Demo: Class-based Views
  • Demo: Adding User Signup
  • Generic Views
  • Debugging Django
  • Demo: The Django Debug Toolbar
  • Resources