Python Training course syllabus

Every case study gives you a chance to work on large, real-life business data sets in the advanced Python lab.

Python Training Content Overview

Core Python

Introduction to Script

• What is Script
• What is a program?
• Types of Scripts
• Difference between Script & Programming Languages
• Features of Scripting
• 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 Python
• How to Install Python
• Install Python with Diff IDEs
• Features of Python
• 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

Different Modes in PYTHON

• Execute the Script
• Interactive Mode
• 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
• Python Sub Packages
• Uses of Python in Data Science
• USES OF PYTHON IN 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?
• Conda List?
• Jupyter and Kernels
• What is PIP?

Variables in Python

• What is Variable?
• Variables in Python
• Constants in Python
• Variable and Value
• Variable names
• 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
• String indices
• Basic String Operations
• String Functions, Methods
• Delete a string
• String Multiplication and concatenation
• Python Keywords
• Python Identifiers
• Python 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 Operators
• Relational Operators
• 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”
• How to use “For Loop”
• How to use For Loop for set of other things besides numbers
• Break statements in For Loop
• Continue statement in For Loop
• 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
• List slices
• List 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 Function Return Value?
• Types of Arguments in Functions
• Default Arguments
• Non-Default Arguments
• Keyword Arguments
• 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
• Python HTML Calendar Class
• Unix Date and Time Commands

File Handling

• What is a data, Information File?
• File Objects
• File Different Modes
• file Object Attributes
• How to create a Text File
• How to Append Data to a File
• How to Read a File
• Closing a file
• Read, read line ,read lines, write, write lines…!!
• Renaming and Deleting Files
• Directories in Python
• Working with CSV files
• Working with 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
• Python Generators
• Python Closures
• Python Decorators
• 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
• Difference between XML and JSON and Gson
• How to Parse XML
• How to Create XML Node
• Python vs JAVA
• XML and HTML

Python-Data Base Communication

• What is Database? Types of Databases?
• What is DBMS?
• What is 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

Introduction to Python Web Frameworks

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

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?

Data Science

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

Internet of Things

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