" Python has been an important part of Google since the beginning,and it remains so as the system grows and evolves. Today dozens of Google engineers use Python ,and we're looking for more people with skills in this language." - Peter Norvig
Python is a popular powerful programming language!An interpreted, high-level, general-purpose programming language created by Guido van Rossum in 1991.Python is a popular language with both beginners and seasoned developers.
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Python is among the fastest-growing and most popular programming languages out there today.It is also relatively easy to learn ,and attracts many newcomers in the development field .Java can be too verbose for the beginners,and C requires explicit memory management from the start,Python is much simpler.
Whether you're new to programming or an experienced developer ,it's easy to learn and use Python .It is a great programming language and if you have decided that you will learn python in 2019, that's a great choice. Python is great for scripting , web scrapping, analyzing logs, pentesting ,cloud computing , robotics,web development, blockchain , data science, artificial intelligence, machine learning , deep learning etc.
More than 8 world-class software companies: Google,Facebook,Instagram,Spotify,Quora,Netflix,Dropbox,Reddit,Uber,Pinterest , Microsoft ,NASA, NSA, CIA etc. use Python.
Resources:
[1.] Harvard University Using Python for Research
[2.] YouTube Python - 2019 Action plan to learn it - Step by step
[3.] Medium 9 Amazing Articles on Python Programming
[4.] YouTube Python Tutorial for Beginners [Full Course] 2019
[5.] edX Courses Introduction to Python for Data Science
[6.] Google Slides Data Science for Kids
[7.] edX Courses Introduction to Computer Science and Programming Using Python
[8.] Medium Learning Python: From Zero to Hero
[9.] Medium 30 Traits of a Good Technical Manager
[10] Open Source.com Cheat sheet: Python 3.7 for beginners
[11] Open Source.com 3 open source Python GUI frameworks
[12] Open Source.com Format Python however you like with Black
[13] Open Source.com JupyterLab teaches Python developers magic
[14] Open Source.com 10 Python image manipulation tools
[15] Open Source.com Managing Python packages the right way
[16] Open Source .com Learn Python with these awesome resources
[17] Open Source.com 18 Python programming books for beginners and veterans
[18] Google Kotlin Programming Language
Tags: Computer science ,Python , programming ,Google
Python
ReplyDeleteForbes named it a top 10 technical skill in terms of job demand growth.
- Python is one of the most widespread languages in the world,and it has a passionate community of users:
Some people judge the quality of a programming language by the simplicity of its "hello,world!" program. Python does pretty well by this standard:
print( "hello,world!")
For comparison ,here's the same output in Java
public class Main {
public static void main(String [] args) {
System. out.println(" hello,world!");
}
}
Great,case closed.See you back after you've mastered Python.
Well,in all seriousness, simplicity is one of the Python's greatest strengths .Thanks to its precise and efficient syntax, Python can accomplish the same tasks with less code than other languages. This makes implementing solutions refreshingly fast.
Finally ,Python has an all-star lineup of libraries (a.k.a packages) for data analysis and machine learning, which drastically reduces the time it takes to produce results ...
Every thing in Python is an object - even integers; so there is a type called
ReplyDeleteInitially the int object has 64 bits allocated to it (a long long in C terms) and Python uses standard CPU arithmetic to calculate the results of integer arithmetic.
It can also identify when a result of an operation is going to overflow, and in that case a second 64 bit integer is allocated and the arithmetic uses both values, and so on.
Remember that all arithmetic is at a basic level is a systematic algorithm of manipulating a single bit and moving to the next; so once the value is beyond a single long long value, the algorithm just takes the next set of 64 bit values and applies the same set of manipulations and so on.
It is possible for Python to use all of the RAM of the machine to store an integer if the process configuration allowed it.
Source:
https://www.quora.com/How-do-Python-3-integers-work