Data Science with Python Training in Bangalore

1. Introduction

• 1.1 Introduction
• 1.2 Why python?
• 1.3 Installing Python and versions
• 1.4 Interactive mode, creating and running programs
• 1.5 Blocks, Indentation, lines and commenting

2. Input/Output and assignment

• 2.1 Printing
• 2.2 Input strings and numbers
• 2.3 Variable declaration and assignment
• 2.4 Operators
• 2.5 Expression and Code evaluation
• 2.6 Error messages

3. Flow Control Loops and decision making

• 3.1 While loop
• 3.2 For loop
• 3.3 if, else
• 3.4 exit, break

4. Built in Data-Types

• 4.1 Strings and characters
• 4.2 Lists
• 4.3 Tuples
• 4.4 Dictionaries
• 4.5 Files

5. Functions

• 5.1 Function declaration
• 5.2 Basic function
• 5.3 Pass by value

6. Error Handling

• 6.1 Except
• 6.2 Try, Except and raise exceptions

7. Basic Classes and instances

• 7.1 Defining a class, basic class
• 7.2 Instance
• 7.3 Class Data
• 7.4 Properties

8. Debugging

• 8.1 Debugging

Advanced Python Contents

9. Classes and Objects detailed

• 9.1 Classes detailed
• 9.2 Constructors
• 9.3 Generators
• 9.4 Iterators
• 9.5 Decorators

10. Regular Expressions

• 10.1 Defining regular expressions
• 10.2 Compiling regular expressions
• 10.3 Using regular expressions
• 10.4 Match and find
• 10.5 Examples

11. Networking, DB and CGI

• 11.1 Networking, telnet and ssh
• 11.2 Database connection
• 11.3 Basic graphics

12. Parsing

• 12.1 Special purpose parsers
• 12.2 Writing a recursive descent parser by hand
• 12.3 Parsing command delimited lines
• 12.4 Parsing functions
• 12.5 Parsing names, phone numbers
• 12.6 XML parsing

13. Multithreading

• 13.1 Multithreading and examples

14. Logging and debugging again

• 14.1 Logging and debugging examples