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Data Science with Python Course Syllabus

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