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Best Python Training Institute Marathahalli | Best Python Training Institute Bangalore


WeGuideTechnologies provides Python training in Bangalore. We Train students from basic to advanced techniques. Training given by Industry experts in our Python Training in Marathalli Bangalore. We offer professional Best Python Training in Bangalore with 12+ Years Experienced Expert Level Professionals.
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Python Training Institute Marathahalli - Course Details:

  • Duration : 75-80 Hours (Python – 50 Hours & Automation or Django – 25 Hours )
  • Real Time training with  hands on Project(Automation or Django)
  • Assignment and Case Studies
  • Week Day&Week End Batches
  • We are into one of the best Python Training Institute Marathahalli, Bangalore

Python Training in Bangalore – Python Syllabus (50 Hours)

Introduction to Script

  • What is Script program?
  • Types of Scripts
  • Difference between Script and Programming Languages
  • Features and Limitation of Scripting
  • Types of programming Language Paradigms

Introduction to Python

  • What is Python?
  • Why Python?
  • Who Uses Python?
  • Characteristics of Python
  • History of Python
  • What is PSF?
  • Python Versions
  • How to Download and Install Python
  • Install Python with Diff IDEs
  • Features and Limitations of Python
  • Python Applications
  • Creating Your First Python Program
  • Printing to the Screen
  • Reading Keyboard Input
  • Using Command Prompt and GUI or IDE
  • Python Distributions

Python Training Institute Marathahalli - Different Modes in PYTHON

  • Execute the Script
  • Interactive and Script Mode
  • Python File Extensions
  • SETTING PATH IN Windows
  • Clear screen inside python
  • Learn Python Main Function
  • Python Comments
  • Quit the Python Shell
  • Shell as a Simple Calculator
  • Order of operations
  • Multiline Statements
  • Quotations in Python
  • Python Path Testing
  • Joining two lines
  • Python Implementation Alternatives
  • Sub Packages in Python
  • Uses of Python in Data Science, IoT
  • Working with Python in Unix/Linux/Windows/Mac/Android..!!

PYTHON NEW IDEs

  • PyCharm IDE
  • How to Work on PyCharm
  • PyCharm Components
  • Debugging process in PyCharm
  • PYTHON Install Anaconda
  • What is Anaconda?
  • Coding Environments
  • Spyder Components
  • General Spyder Features
  • Spyder Shortcut Keys
  • Jupyter Notebook
  • What is Conda? and Conda List?
  • Jupyter and Kernels
  • What is PIP?

Variables in Python

  • What is Variable?
  • Variables and Constants in Python
  • Variable,Variable names and Value
  • Mnemonic Variable Names
  • Values and Types
  • What Does “Type” Mean?
  • Multiple Assignment
  • Python different numerical types
  • Standard Data Types
  • Operators and Operands
  • Order of Operations
  • Swap variables
  • Python Mathematics
  • Type Conversion
  • Mutable Versus Immutable Objects

String Handling

  • What is string?
  • String operations and indices
  • Basic String Operations
  • String Functions, Methods
  • Delete a string
  • String Multiplication and concatenation
  • Python Keywords, Identifiers and Literals
  • String Formatting Operator
  • Structuring with indentation in Python
  • Built-in String Methods
  • Define Data Structure?
  • Data Structures in PYTHON

Python Operators and Operands

  • Arithmetic, Relational Operators and Comparison Operators
  • Python Assignment Operators
  • Short hand Assignment Operators
  • Logical Operators or Bitwise Operators
  • Membership Operators
  • Identity Operators
  • Operator precedence
  • Evaluating Expressions

Python Conditional Statements

  • How to use “if condition” in conditional structures
  • if statement (One-Way Decisions)
  • if .. else statement (Two-way Decisions)
  • How to use “else condition”
  • if .. elif .. else statement (Multi-way)
  • When “else condition” does not work
  • How to use “elif” condition
  • How to execute conditional statement with minimal code
  • Nested IF Statement

Python LOOPS

  • How to use “While Loop” and “For Loop”
  • How to use For Loop for set of other things besides numbers
  • Break statements, Continue statement, Enumerate function for For Loop
  • Practical Example
  • How to use for loop to repeat the same statement over and again
  • Break, continue statements

Learning Python Strings

  • Accessing Values in Strings
  • Various String Operators
  • Some more examples
  • Python String replace() Method
  • Changing upper and lower case strings
  • Using “join” function for the string
  • Reversing String
  • Split Strings

Sequence or Collections in PYTHON

  • Strings
  • Unicode Strings
  • Lists
  • Tuples
  • buffers
  • xrange

Python Lists

  • Lists are mutable
  • Getting to Lists
  • List indices
  • Traversing a list
  • List operations, slices and methods
  • Map, filter and reduce
  • Deleting elements
  • Lists and strings

Python TUPLE

  • Advantages of Tuple over List
  • Packing and Unpacking
  • Comparing tuples
  • Creating nested tuple
  • Using tuples as keys in dictionaries
  • Deleting Tuples
  • Slicing of Tuple
  • Tuple Membership Test
  • Built-in functions with Tuple
  • Dotted Charts

Python Sets

  • How to create a set?
  • Iteration Over Sets
  • Python Set Methods
  • Python Set Operations
  • Union of sets
  • Built-in Functions with Set
  • Python Frozenset

Python Dictionary

  • How to create a dictionary?
  • PYTHON HASHING?
  • Python Dictionary Methods
  • Copying dictionary
  • Updating Dictionary
  • Delete Keys from the dictionary
  • Dictionary items() Method
  • Sorting the Dictionary
  • Python Dictionary in-built Functions
  • Dictionary len() Method
  • Variable Types
  • Python List cmp() Method
  • Dictionary Str(dict)

Python Functions

  • What is a function?
  • How to define and call a function in Python
  • Types of Functions
  • Significance of Indentation (Space) in Python
  • How the Function Return Value?
  • Types of Arguments in Functions
  • Default Arguments and Non-Default Arguments
  • Keyword Argument and Non-keyword Arguments
  • Arbitrary Arguments
  • Rules to define a function in Python
  • Various Forms of Function Arguments
  • Scope and Lifetime of variables
  • Nested Functions
  • Call By Value, Call by Reference
  • Anonymous Functions/Lambda functions
  • Passing functions to function
  • map(), filter(), reduce() functions
  • What is a Docstring?

Advanced Python

Python Modules

  • What is a Module?
  • Types of Modules
  • The import Statement
  • The from…import Statement
  • ..import * Statement
  • Underscores in Python
  • The dir( ) Function
  • Creating User defined Modules
  • Command line Arguments
  • Python Module Search Path

Packages in Python

  • What is a Package?
  • Introduction to Packages?
  • py file
  • Importing module from a package
  • Creating a Package
  • Creating Sub Package
  • Importing from Sub-Packages
  • Popular Python Packages

Python Date and Time

  • How to Use Date & DateTime Class
  • How to Format Time Output
  • How to use Timedelta Objects
  • Calendar in Python
  • datetime classes in Python
  • How to Format Time Output?
  • The Time Module
  • Python Calendar Module
  • Python Text Calendar, HTML Calendar Class
  • Unix Date and Time Commands

File Handling

  • What is a data, Information File?
  • File Objects
  • File Different Modes and Object Attributes
  • How to create a Text Fil and Append Data to a File andRead a File
  • Closing a file
  • Read, read line ,read lines, write, write lines…!!
  • Renaming and Deleting Files
  • Directories in Python
  • Working with CSV files and CSV Module
  • Handling IO Exceptions

Python OS Module

  • Shell Script Commands
  • Various OS operations in Python
  • Python File System Shell Methods

Python Exception Handling

  • Python Errors
  • Common RunTime Errors in PYTHON
  • Abnormal termination
  • Chain of importance Of Exception
  • Exception Handling
  • Try … Except
  • Try .. Except .. else
  • Try … finally
  • Argument of an Exception
  • Python Custom Exceptions
  • Ignore Errors
  • Assertions
  • UsingAssertionsEffectively

More Advanced PYTHON

Python Iterators, Generators, Closures, Decorators and Python @property

Python Class and Objects

  • Introduction to OOPs Programming
  • Object Oriented Programming System
  • OOPS Principles
  • Define Classes
  • Creating Objects
  • Class variables and Instance Variables Constructors
  • Basic concept of Object and Classes
  • Access Modifiers
  • How to define Python classes
  • Python Namespace
  • Self-variable in python
  • Garbage Collection
  • What is Inheritance? Types of Inheritance?
  • How Inheritance works?
  • Python Multiple Inheritance
  • Overloading and Over Riding
  • Polymorphism
  • Abstraction
  • Encapsulation
  • Built-In Class Attributes

Python Regular Expressions

  • What is Regular Expression?
  • Regular Expression Syntax
  • Understanding Regular Expressions
  • Regular Expression Patterns
  • Literal characters
  • Repetition Cases
  • Example of w+ and ^ Expression
  • Example of \s expression in re.split function
  • Using regular expression methods
  • Using re.match()
  • Finding Pattern in Text (re.search())
  • Using re.findall for text
  • Python Flags
  • Methods of Regular Expressions

Python XML Parser

  • What is XML?
  • Difference between XML and HTML and XML, JSON, Gson
  • How to Parse XML and Create XML Node
  • Python vs JAVA
  • XML and HTML

Python-Data Base Communication

  • What is Database? Types of Databases?
  • What is DBMS?, RDBMS?
  • What is Big Data? Types of data?
  • Oracle
  • MySQL
  • SQL server
  • DB2
  • Postgre SQL
  • Executing the Queries
  • Bind Variables
  • Installing of Oracle Python Modules
  • Executing DML Operations..!!

Multi-Threading

  • What is Multi-Threading
  • Threading Module
  • Defining a Thread
  • Thread Synchronization

Web Scrapping

  • The components of a web page
  • BeautifulSoup
  • Urllib2
  • HTML,CSS,JS,jQuery
  • Dataframes
  • PIP
  • Installing External Modules Using PIP

Unit Testing with PyUnit

  • What is Testing?
  • Types of Testings and Methods?
  • What is Unit Testing?
  • What is PyUnit?
  • Test scenarios, Test Cases, Test suites

GUI Programming-Tkinter

  • Introduction
  • Components and Events
  • Adding Controls
  • Entry Widget, Text Widget, Radio Button, Check Button
  • List Boxes, Menus, ComboBox

Introduction to Python Web Frameworks

  • Django – Design
  • Advantages of Django
  • MVC and MVT
  • Installing Django
  • Designing Web Pages
  • HTML5, CSS3, AngularJS
  • PYTHON Flask, Bottle, Pyramid, Falcon

GUI Programming-Tkinter

  • Introduction
  • Components and Events
  • Adding Controls
  • Entry Widget, Text Widget, Radio Button, Check Button
  • List Boxes, Menus, ComboBox

Data Analytics

  • Introduction to data Big Data?
  • Introduction to NumPY and SciPY
  • Introduction to Pandas and MatPlotLib

Data Science

  • What is Data Science?
  • Data Science Life Cycle?
  • What is Data Analysis, Data Mining
  • Analytics vs Data Science

Introduction to Machine Learning with PYTHON

  • What is Machine learning?
  • Machine Learning Methods
  • Predictive Models
  • Descriptive Models
  • What are the steps used in Machine Learning?
  • What is Deep Learning?

Python Training Institute Marathahalli - Internet of Things

  • IMPACT OF THE INTERNET
  • What is IOT
  • History of IoT
  • What is Network, Protocol, smart?
  • How IoT Works?

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