What you'll learn
Learn using in-built standard modules in python such as datetime, math, statistics
Learn networking using sockets
Learn to use apis for twitter and emails
Learn the data science modules in python such as numpy, scipy, pandas, matDescriptionlib etc. along with multi-threading and Exception

Requirements
Basic knowledge about programming. Students should already know Python basics that are variables, numbers, strings, lists, functions, conditionals, and loops.
Description
Python is a high-level and general-purpose programming language and is interpreted. It is of a strong and dynamic type of discipline. It was designed by Guido van Rossum. It has functional, object-oriented and imperative features. It has file extensions such as .py or .pyd or .pyc etc. The code and syntax of Python are highly readable compared to other programming languages. Python is easy to learn, read and maintain and has interactive mode features and provides better scalability and supports GUI applications. It supports structured and functional programming. It was licensed under the Python Software Foundation License. It first appeared in the year 1990. It was influenced by several other programming languages such as C, C++, Java, Haskell, Modula, Perl, etc.

The training will include the following;

1. Using in-built standard modules in python (datetime, math, statistics)

2. Networking using sockets

3. Using apis for twitter and emails

4. Data science modules for iot (numpy, scipy, pandas, matDescriptionlib)

5. Multi-threading and Exception handling

Hence, we will be covering the following topics and modules in this course:

Installation

Nuts and Bolts

Networking and Networking Concepts

Socket Programming

ChatBot App

Database and Chat App

Client Element and Datasets

Numpy

Numpy Arrays

Target Customers for this course will be anybody interested in programming. Basic knowledge about electronics & programming is sufficient to attend this course

Who this course is for:
Anybody interested in Python
Anyone interested in data science
Python and data science professionals

Screenshots

Citación :

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