Python Training Overview:

Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis

What are the Python Course Pre-requisites

There are no hard pre-requisites. Basic understanding of Computer Programming terminologies is sufficient. Also, basic concepts related to Programming and Database is beneficial but not mandatory.

Objectives of the Course

• To understand the concepts and constructs of Python
• To create own Python programs, know the machine learning algorithms in Python and work on a real-time project running on Python

Who should do the course

• Big Data Professionals
• IT Developers
• Those who are showing interest to build their career in Python

Python Training Course Duration

• 35 Days, Daily 1 Hours

Python Course Content

Core Python

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

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

Python LOOPS

• How to use â??While Loopâ?? and  â??For Loopâ??
• 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 â??joinâ?? 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 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 fromâ?¦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 and Read a File
• Closing a file
• Read, read line ,read lines, write, write linesâ?¦!!
• 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 â?¦ Except
• Try .. Except .. else
• Try â?¦ finally
• Argument of an Exception
• Python Custom Exceptions
• Ignore Errors
• Assertions
• UsingAssertionsEffectively