PYTHON! WHAT IS IT?
Python is an object-oriented programming language created by Guido Rossum in 1989. It is ideally designed for rapid prototyping of complex applications.Many large companies use the Python programming language include NASA, Google, YouTube, BitTorrent, etc.
Python is widely used in Artificial Intelligence, Natural Language Generation, Neural Networks and other advanced fields of Computer Science. Python had deep focus on code readability & this class will teach you python from basics.
Frequently Asked Questions
The course teaches you the essential concepts of Python programming, and gives you an in-depth knowledge in data analytics, machine learning, data visualization, web scraping, and natural language processing. You will master the essential concepts of data types, tuples, lists, dicts, basic operators, and functions.
It provides rich data types and easier to read syntax than any other programming languages
It is a platform independent scripted language with full access to operating system API's
Compared to other programming languages, it allows more run-time flexibility
It includes the basic text manipulation facilities of Perl and Awk
A module in Python may have one or more classes and free functions
Libraries in Pythons are cross-platform compatible with Linux, MacIntosh, and Windows
For building large applications, Python can be compiled to byte-code
Python supports functional and structured programming as well as OOP
It supports interactive mode that allows interacting Testing and debugging of snippets of code
In Python, since there is no compilation step, editing, debugging and testing is fast.
The most basic use case for Python is as a scripting and automation language. Python isn’t just a replacement for shell scripts or batch files, but is also used to automate interactions with web browsers or application GUIs or system provisioning and configuration in tools such as Ansible and Salt. But scripting and automation represent only the tip of the iceberg with Python.
Python is used for general application programming. Both CLI and cross-platform GUI applications can be created with Python and deployed as self-contained executables. Python doesn’t have the native ability to generate a standalone binary from a script, but third-party packages like cx_Freeze or PyInstaller can be used to accomplish that.
ython is used for data science and machine learning. Sophisticated data analysis has become one of fastest moving areas of IT and one of Python’s star use cases. The vast majority of the libraries used for data science or machine learning have Python interfaces, making the language the most popular high-level command interface to for machine learning libraries and other numerical algorithms.
Python is used for web services and RESTful APIs. Python’s native libraries and third-party web frameworks provide fast and convenient ways to create everything from simple REST APIs in a few lines of code, to full-blown, data-driven sites. Python’s latest versions have powerful support for asynchronous operations, allowing sites to handle up to tens of thousands of requests per second with the right libraries.
To get the most out of this course, You should have a basic understanding of Computer Programming terminologies especially Object Oriented Programming.
Chances are, if you're viewing this page, you're brand new to Python.
You might even be new to Programming all-together. Either way, you have come to the right place, and chosen the right language!
Python is very beginner-friendly. The syntax (words and structure) is extremely simple to read and follow, most of which can be understood even if you do not know any programming.
This tutorial is designed for software programmers who need to learn Python programming language from scratch.
Length of Study -1 Month
Python is an object-oriented programming language
Python is an interpreted, interactive, object-oriented programming language. It incorporates modules, exceptions, dynamic typing, very high level dynamic data types, and classes. It supports multiple programming paradigms beyond object-oriented programming, such as procedural and functional programming.
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