Surprise is a Python scikit building and analyzing recommender systems that deal with explicit rating data. Surprise stands for Simple Python Recommendation System Engine.
Surprise was designed with the following purposes in mind:
Give users perfect control over their experiments.
Alleviate the pain of dataset handling.
Provide various ready-to-use prediction algorithms.
Make it easy to implement new algorithm ideas.
Provide tools to evaluate, analyse and compare the algorithms performance.
For more info http://surpriselib.com
Solve Problems by Coding Solutions - A Complete solution for python programming
Performing Google Search using Python code
Install following two packages before executing the code below
pip install beautifulsoup4
pip install google
try:
from googlesearch import search
except ImportError:
print("No module named 'google' found")
# to search
query = "python for engineers Blog"
for j in search(query, tld="co.in", num=10, stop=1, pause=2):
print(j)
Pycharm - The Python IDE for Professional Developers
Pycharm - Features
Intelligent Python Assistance
PyCharm provides smart code completion, code inspections, on-the-fly error highlighting and quick-fixes, along with automated code refactorings and rich navigation capabilities.
Web Development Frameworks
PyCharm offers great framework-specific support for modern web development frameworks such as Django, Flask, Google App Engine, Pyramid, and web2py.
Scientific Tools
PyCharm integrates with IPython Notebook, has an interactive Python console, and supports Anaconda as well as multiple scientific packages including matplotlib and NumPy.
Cross-technology Development
In addition to Python, PyCharm supports JavaScript, CoffeeScript, TypeScript, Cython, SQL, HTML/CSS, template languages, AngularJS, Node.js, and more.
Remote Development Capabilities
Run, debug, test, and deploy applications on remote hosts or virtual machines, with remote interpreters, an integrated ssh terminal, and Docker and Vagrant integration.
Built-in Developer Tools
A huge collection of tools out of the box: an integrated debugger and test runner; Python profiler; a built-in terminal; and integration with major VCS and built-in Database Tools.
Intelligent Python Assistance
PyCharm provides smart code completion, code inspections, on-the-fly error highlighting and quick-fixes, along with automated code refactorings and rich navigation capabilities.
Web Development Frameworks
PyCharm offers great framework-specific support for modern web development frameworks such as Django, Flask, Google App Engine, Pyramid, and web2py.
Scientific Tools
PyCharm integrates with IPython Notebook, has an interactive Python console, and supports Anaconda as well as multiple scientific packages including matplotlib and NumPy.
Cross-technology Development
In addition to Python, PyCharm supports JavaScript, CoffeeScript, TypeScript, Cython, SQL, HTML/CSS, template languages, AngularJS, Node.js, and more.
Remote Development Capabilities
Run, debug, test, and deploy applications on remote hosts or virtual machines, with remote interpreters, an integrated ssh terminal, and Docker and Vagrant integration.
Built-in Developer Tools
A huge collection of tools out of the box: an integrated debugger and test runner; Python profiler; a built-in terminal; and integration with major VCS and built-in Database Tools.
Pylint - Python source code analyser
Pylint is a Python source code analyser which looks for programming errors, helps to enforce a coding standard, and other such. This quality checker for Python programming includes several features such as coding standard where it checks for the length of line codes, error detection, refactoring by detecting the duplicated code, Pylint is shipped with Pyreverse which creates UML diagrams for python code.
Walrus Operator in Python 3.8
One of the biggest highlights of Python 3.8.0 is a new feature for assignment expressions known as the Walrus Operator.
"There is new syntax := that assigns values to variables as part of a larger expression," the Python 3.8.0 release notes state.
"It is affectionately known as 'the walrus operator' due to its resemblance to the eyes and tusks of a walrus."
"There is new syntax := that assigns values to variables as part of a larger expression," the Python 3.8.0 release notes state.
"It is affectionately known as 'the walrus operator' due to its resemblance to the eyes and tusks of a walrus."
In this example, the assignment expression helps avoid calling len() twice:
if (n := len(a)) > 10:
print(f"List is too long ({n} elements, expected <= 10)")
Microsoft: We want you to learn Python programming language for free
Microsoft has launched a new 44-part series called Python for Beginners on YouTube, consisting of three- to four-minute lessons from two self-described geeks at Microsoft who love programming and teaching in YouTube or Channel9
The Python for Beginners series is presented by Christopher Harrison, a senior program manager at Microsoft, and Susan Ibach, a business development manager from Microsoft's AI Gaming unit.
Microsoft has published a page on GitHub containing additional resources, including slides and code samples to help students become better at Python.
The Developers have a option to interface with machine-learning frameworks like Google-developed TensorFlow, and the Microsoft Cognitive Toolkit (CNTK).
DDA Line Drawing Algorithms Line Coordinates
def ROUND(a):
return int(a + 0.5)
def drawDDA(x1,y1,x2,y2):
x,y = x1,y1
return int(a + 0.5)
def drawDDA(x1,y1,x2,y2):
x,y = x1,y1
length = (x2-x1) if (x2-x1) > (y2-y1) else (y2-y1)
dx = (x2-x1)/float(length)
dy = (y2-y1)/float(length)
print ('x = %s, y = %s' % (((ROUND(x),ROUND(y)))))
for i in range(length):
x += dx
y += dy
print ('x = %s, y = %s' % (((ROUND(x),ROUND(y)))))
drawDDA(2,5,10,20)
dx = (x2-x1)/float(length)
dy = (y2-y1)/float(length)
print ('x = %s, y = %s' % (((ROUND(x),ROUND(y)))))
for i in range(length):
x += dx
y += dy
print ('x = %s, y = %s' % (((ROUND(x),ROUND(y)))))
drawDDA(2,5,10,20)
PyRobot - Python for Robotics
PyRobot is a Python package for benchmarking and running experiments in robot learning. The goal of this project is to abstract away the low-level controls for individual robots from the high-level motion generation and learning in an easy-to-use way. Using PyRobot will allow you to run robots without having to deal with the robot specific software along with enabling better comparisons.
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