Python Hands-on (with SQLite, NumPy, Networking, Pandas)

• The students will be able to program in python, solve problems, develop own python programs

The course is divided into mainly two parts: basics and advanced.

A person who is beginner or never have done programming can benefit from the course. Those folks who have done some amount of programming can take good benefit of basic topics (Variables, Strings, List, Condition, Loops, Functions, Dictionary, Tuples, File Handling, JSON, Exceptions, Comprehension like List, Dictionary, Tuple ) , advanced topics (Iterator, Generator, Regular Expression, Networking, Web Interaction, Database, SQL, SQLite, Database: Single table, multiple tables, Multi-threading, Multi processing, Custom Modules ), Object Oriented Programming (Classes and Objects, Inheritance, Exceptions, Iterator) and Numpy.

All these topics are taught as concept and hands-on practicals. Python has exponentially growing community around data science, machine learning, web development and more. Python is a language that opens programming access to the world. Python is considered easy to read, write and learn. Plus, it's extremely scalable.

Those students who wish to pursue further courses like Machine Learning, Data Science and Deep Learning will definitely benefit from this course as python happens to form the basis for such courses.

The course contents are:

Python

• Why python?

• Installation of Development Environment

• Variables, Strings, List

• Condition, Loops,

• Functions

• Dictionary

• Tuples

• File Handling

• JSON

• Exceptions

• Comprehension (List, Dictionary, Tuple)

Advanced Topics

• Iterator

• Generator

• Regular Expression

• Networking, Web Interaction

• Database, SQL, SQLite

• Database: Single table, multiple tables

• Multi-threading,

• Multi processing

• Custom Modules

Objected Oriented Programming

• Classes and Objects

• Inheritance

• Exceptions

• Iterator

NumPy

• Numpy array operations

• Indexing

• Slicing

• Stacking

  
  

Various hands-on practicals and exercises are also provided as part of recordings. The python programs (code) are provided as resources to various hands-on / practical videos.