• Post category:StudyBullet-2
  • Reading time:9 mins read

Master Python programming in a cloud development environment

What you will learn

Python basics

Numpy

Pandas

Matplotlib

Different types of arrays

Loops, Conditions and Functions

How to join, split and re-shape arrays

Description

Python is a high level dynamic programming language founded in 1991. The inspiration for the name ‘Python’ was from the comedy television show Monty Python’s Flying Circus. Today, Python is a very popular programming language which is extensively used in many organizations around the world and is one of the top programming languages in the software industry today.

Notably, Python has emerged as the No. 1 Programming language of choice for artificial intelligence, data science, machine learning and deep learning requirements.

Hence, learning python has become a necessity for those aspiring for a career in software industry and for those who are already in the IT industry. Even if you are new to programming, this course is a good starting point.

Cloud based development environment – Google Colab

A key aspect of the course is the use of google cloud based development environment – colab. As more and more companies embrace cloud in a big way, it has become imperative for programmers to gain knowledge and expertise to code in cloud.

The course covers the following concepts:

· Variables

· Operators

· Conditional statements

· For and While Loops

· Functions

· Four types of Arrays – List, Tuple, Set and Dictionary

· NumPy

· In NumPy, we will cover, how to shape arrays, iterate arrays, joining arrays, splitting arrays, searching arrays and sorting arrays.

· Pandas

· We will also explain data analysis using pandas

· Data visualization using matplotlib.

But what are the features that make Python so easy to use?

One of the biggest advantages Python has over other programming languages is its readability and large standard library that makes coding easier. It is portable and interactive across various operating systems and has user friendly data structures that can be easily implemented. Moreover, Python also supports object oriented programming and has applications that varies across several different fields.

Applications of Python

Python’s popularity has made it a very useful tool to develop many applications. The wide selection of libraries and frameworks available makes it one very useful in the field of data analysis and machine learning. These libraries can be used for various purposes such as natural language process, speech synthesis, complex data analysis and so on. Python is also used in prototyping and scripting which helps in the development of embedded applications. Thus, the popularity of python is greatly beneficial for applications that require easier code maintenance and efficient versatility.

English

Language

Content

Introduction

Introduction

Introduction to Colab: Google Cloud Development Environment

Introduction to Colab: Google Cloud Development Environment

Getting Started with Python

Getting Started with Python

Variables

Variables


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Operators

Operators

Conditions

Conditions

Loops

Loops

Functions

Functions

Arrays

Arrays

List

List

Tuple

Tuple

Set

Set

Dictionary

Dictionary

Getting Started with NumPy

Getting Started with NumPy

NumPy: Shape in Arrays

Shape in Arrays

NumPy: Iterating Arrays

NumPy: Iterating Arrays

NumPy: Joining Arrays

NumPy: Joining Arrays

NumPy: Splitting Arrays

NumPy: Splitting Arrays

NumPy: Searching and Sorting Arrays

NumPy: Searching and Sorting Arrays

Getting Started with Pandas

Getting Started with Pandas

Data analysis using Pandas

Data analysis using Pandas

Functions

Data Visualization using Matplotlib