Module 1.a Introduction ( 1 hour 15 mins)

One of the easiest programming language.
High Level Programming Language - Independent of OS & hardware.
Many Open source software written using it. You can be contributor.
Python can be used to program procedural programming, object oriented programming & functional programming.
Using python you can get into - Web Development (Django), Automation, Data Science & machine learning and many more things.
There is a huge community of python lovers, eager to help whenever you need.
Many many third-party packages are freely available for minimal invasive feature addition to your product.

Being one of the easiest programming language - definitely makes lot of sense for first time programmers.
Tool based jobs are on down-slide. Companies are hunting for engineers with coding skills. Python definitely gives you that. Informatica & many more company specific BI tools, on which companies used to spend fortunes. Now companies are moving Python based open source technologies to get the same stuff done.
Once you know Python, the entire automation sector is open. Manual testing jobs are shrinking. Tasks like connecting to server, fetching logs, parsing for errors & mailing report can be done daily without human intervention

Web development domain always need work force. Django has gained lot of popularity over last few years. Biggies like Adobe, Quora, Instagram and many many small to mid-size companies use Django. On spending few hours on HTML,CSS & couple of weeks on Django you can proclaim yourself a full-stack developer.
Another domain, which is seeing lot of influx is Data Science & Machine Learning. 2017 has seen just a drop in ocean for Machine Learning. Python has off late getting default programming language for machine learning. Mostly, because most of machine learning libraries are written using Python.
Python runs on anything & everything. Embedded system software development & debugging uses Python extensively.

Interpreted language executes line by line making development easier & faster. Makes it platform independent
Compiled language goes first stage of compilation & thus creating an intermediate image (platform specific). This platform specific binary gets executed.

Dynamically Typed Programming Language.
Extensive code re-usability.
Automatic Memory Management - Don't worry about memory leaks - allocation or free
In-built libraries to make scale-able & production ready systems.
Interpreted Programming Language.
Popular versions - Python 2.7 or Python 3.6

With minor difference from usage perspective like print, very minimal things have changes
Python 2.7 is currently used by lot of industry. But it doesn't have lot of cutting edge things that Python 3.6 have.
Older libraries are mostly ported to Python 3.x.
In a nutshell, Learn using anyone. But, make sure you know minimal differences in both.

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