Sep

16

2019

The Complete Python for BeginnersMaster Python from scratch (Updated)

smack 16 Sep 2019 08:01 LEARNING » e-learning - Tutorial

The Complete Python for BeginnersMaster Python from scratch (Updated)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .VTT | Duration: 3 hour | Size: 1.62 GB




Full Python Programming Basics for Python Programmer & Data Analysts in simple easy way with Examples in just two hours.

What you'll learn

Beginner to python programming who want to learn python in easy and simple way.
Python programming basics.
Introduction to python for Data analytics.
students want to learn how to use Jupyter notebook and IPython .
students wants to master Python programming basics.

Requirements

no primer programming experience needed for this course.
computer and internet.

Description

Full Python Programming Basics Guide for Python Programmer & Data Analysts in simple easy way with Examples in just a couple of hours from zero to hero.

Why to master Python Programming ?

Python is high level programming language, strong, elegant, and easy to learn.

Faster than R programming language when used for data science.

Has lots of libraries which facilitate its use for data analysis.

Objective oriented programming Language so you can use objects when coding in python.

Free open source programming language.

Python can be used for a large variety of programming tasks, such as for desktop applications, game programming and mobile development.

Python is a cross platform language, which means that code written for one operating system, such as Windows, will work well on Mac OS or Linux without making any changes to the Python code.

Who this course is for:

Beginner Python Programmer who want to master Python programming Concepts in simple and easy way.
Beginner to data analytics.
Beginner python developer curious about data science.
Python programmers willing to master python for data analytics.
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The Complete Python for BeginnersMaster Python from scratch (Updated)


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