Syllabus: Python & BioPython(Optional)

Introduction to Languages

  • What is Language?
  • Types of languages
  • Introduction to Translators
  • Compiler Interpreter
  • What is Scripting Language?
  • Types of Script Programming Languages v/s Scripting Languages
  • Difference between Scripting and Programming languages
  • What is programming Methods?
  • Procedural programming paradigm
  • Object Oriented Programming paradigm

Introduction to Python

  • What is Python?
  • WHY PYTHON?
  • Features
  • Why Python is General Language?
  • Limitations of Python
  • Python implementations
  • Python applications
  • Python versions
  • PYTHON IN REALTIME INDUSTRY
  • Difference between Python 2.x and 3.x

 Python Software

  • Python Distributions
  • Download & Python Installation Process in Windows, Unix, Linux and Mac
  • Python Real-time IDEs like Spyder, Jupyter Note Book, PyCharm, MS VS Code, ATOM, Pycharm Pip

Python Language Fundamentals

  • Python Implementation Alternatives/Flavours
  • Keywords ,Identifiers ,Constants / Literals ,Data types ,Python Syntax

Useful facts and syntax in Python

  • Interactive Mode
  • Scripting Mode
  • Programming Elements
  • Structure of Python program
  • First Python Application
  • Comments in Python
  • Python file extensions
  • Setting Path in Windows
  • Edit and Run python program without IDE
  • Edit and Run python program using IDEs
  • INSIDE PYTHON
  • Programmers View of Interpreter
  • What is Byte Code in PYTHON?
  • Python Debugger

Variables in Python

  • Data Type
  • String Formatting in Python
  • Introduction
  • Initialization of variables
  • Local variables
  • Global variables
  • Input and Output operations
  • Data conversion functions – int(), float(), complex(), str(), chr(), ord()

Operators in Python

  • Arithmetic Operators
  • Comparison Operators
  • Python Assignment Operators
  • Logical Operators
  • Bitwise Operators
  • Shift operators
  • Membership Operators
  • Identity Operators
  • Ternary Operator
  • Operator precedence
  • Difference between “is” vs “==”

Input & Output Operators in Python

  • Print
  • Input
  • Command-line arguments

Control Statements in Python

  • Conditional control statements
  • If
  • If-else
  • If-elif-else
  • Nested-if
  • Loop control statements
  • for
  • while
  • Nested loops
  • Branching statements
  • Break
  • Continue
  • Pass
  • Return

Exception Handling & Types of Errors in Python

  • What is Exception?
  • Why exception handling?
  • Syntax error v/s Runtime error
  • Exception codes – AttributeError, ValueError, IndexError, TypeError…
  • Handling exception – try except block
  • Try with multi except
  • Handling multiple exceptions with single except block
  • Finally block
  • Try-except-finally
  • Try with finally
  • Case study of finally block
  • Raise keyword
  • Custom exceptions / User defined exceptions
  • Need to Custom exceptions

Data Structures or Collections in Python

  • Introduction
  • Importance of Data structures
  • Applications of Data structures
  • Types of Collections
  • Sequence
  • Strings, List, Tuple, range
  • Non sequence
  • Set, Frozen set, Dictionary

Strings in Python

  • What is string
  • Representation of Strings
  • Processing elements using indexing
  • Processing elements using Iterators
  • Manipulation of String using Indexing and Slicing
  • String operators
  • Methods of String object
  • String Formatting
  • String functions
  • String Immutability

List Collection in Python

  • What is List
  • Need of List collection
  • Different ways of creating List
  • List comprehension
  • List indices
  • Processing elements of List through Indexing and Slicing
  • List object methods
  • List is Mutable
  • Mutable and Immutable elements of List
  • Nested Lists
  • List_of_lists
  • Hardcopy, shallowCopy and DeepCopy
  • zip() in Python
  • How to unzip?
  • Python Arrays

Tuple Collection in Python

  • What is tuple?
  • Different ways of creating Tuple
  • Method of Tuple object
  • Tuple is Immutable
  • Mutable and Immutable elements of Tuple
  • Process tuple through Indexing and Slicing
  • List v/s Tuple

Set Collection in Python

  • What is set?
  • Different ways of creating set
  • Difference between list and set
  • Iteration Over Sets
  • Accessing elements of set
  • Python Set Methods
  • Python Set Operations
  • Union of sets
  • functions and methods of set
  • Python Frozen set
  • Difference between set and frozenset ?

Dictionary Collection in Python

  • What is dictionary?
  • Difference between list, set and dictionary
  • How to create a dictionary?
  • PYTHON HASHING?
  • Accessing values of dictionary
  • Python Dictionary Methods
  • Copying dictionary
  • Updating Dictionary
  • Reading keys from Dictionary
  • Reading values from Dictionary
  • Reading items from Dictionary
  • Delete Keys from the dictionary
  • Sorting the Dictionary
  • Python Dictionary Functions and methods
  • Dictionary comprehension

Functions in Python

  • What is Function?
  • Advantages of functions
  • Syntax and Writing function
  • Calling or Invoking function
  • Classification of Functions
  • No arguments and No return values
  • With arguments and No return values
  • With arguments and With return values
  • No arguments and With return values
  • Recursion
  • Python argument type functions :
  • Default argument functions
  • Required(Positional) arguments function
  • Keyword arguments function
  • Variable arguments functions
  • ‘pass’ keyword in functions
  • Lambda functions/Anonymous functions
  • map()
  • filter()
  • reduce()
  • Nested functions
  • Non local variables, global variables
  • Closures
  • Decorators
  • Generators
  • Iterators
  • Monkey patching

Bio-Python 
-Introduction
-Installing Bio-Python
-Working with sequence
-Connecting with biological database
-Sequence annotation Object
-Sequence Input/Output
-Multiple Sequence Alignment Object
-Blast Running over internet
-Blast and other sequence searching tools
-Searing Enterez Database EMBL
-Searching NCBI Database 
-Phylogenetic with Bio-Python

-BioSQL connectivity

Bio-Python Academic Project Work (Optional):

  • Bio-Python for  Sequence Alignment
  • Bio-Python for Sequence Search
  • Bio-Python for Annotation

 

 

 

 

BioPython

₹12,000.00Price
  • The fields of bioinformatics and computational biology involve the development and application of tools such as bioperl to make biological discoveries. some people enter the field as a biologist who learns how to use the tools or as computer scientists/engineers who are able to build tools. A solid background in both biology and BioPython is extremely helpful