#SimplifyPython

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Web Development Frameworks in Python

Python is extensively used and very popular for Server-side Web Development. There are a number of Python frameworks (most of them are open source). Some of the most popular of these frameworks are given below:

Flask

Django

Bottle

Pyramid

Web2Py

TurboGears

CherryP

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What is IDLE?

IDLE is Python's official Integrated Development Environment. It can be considered as the acronym for Integrated Development and Learning Environment. It is shipped with Python's official implementation and written completely in Python and Tkinter GUI toolkit. It contains some very useful features such as Python Shell, Code Editor with Syntax Highlighting and a built-in debugger.

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Install Python3 on Ubuntu

Generally, Python comes preinstalled with most Linux Distributions, and in Ubuntu 18.04 Python3 is comes preinstalled, however, if we do not have Python preinstalled in our machine already, we can install it manually with following commands.

$ sudo apt install python3

or

$ sudo apt-get install python3.x

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Since Python is open-source, there are a number of ways thru which we can install Python on our machine. These different Python implementations are called Python Distributions. Some of the Popular Python Distribution are given here:

CPython (Official Python)

IPython

Anaconda Python Distribution

ActivePython

Enthought's Canopy

Python (X, Y)

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Strings in Python | #SimplifyPython Strings in Python are simply a sequence of printable characters. Technically, Strings in Python, like many other programming languages, are a series or array or sequence of bytes which represent Unicode characters. #Python #StringsInPython

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What is Web Development?

Web development is a broad process that involves creating a webpage or web application for Internet or other types of Networks. Python provides a very intuitive and easy way for the development of whether it is a webpage or web application. Flask and Django are very popular frameworks for web development using Python.

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What is Data Analysis?

Data Analysis is the process to achieve useful information, conclusions, insights by processing, cleansing, modeling and visualizing data from one or more datasets. In simple words, if we have the raw data and we want to use this data for our decision making by driving insights from the data or by visualizing the data, Data Analytics provides us the way for this.