Gene Set Enrichment Analysis in Python

GSEAPY is a python wrapper for GSEA and Enrichr.
GSEAPY has five subcommands: gsea, prerank, ssgsea, replot enrichr.

PyTorch - From Research To Production

An open source deep learning platform that provides a seamless path from research prototyping to production deployment. PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries.

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The Rise of Python for Embedded Systems Continues

The IEEE Spectrum’s fifth annual interactive ranking of the top programming languages puts Python in the first spot. Out of 47 programming languages most commonly used today, Python is the most popular one, getting ahead of C, C++, and Java.

And as the renowned Economist claims, in their latest article about Python:

    “Python’s killer features – simple syntax that makes its code easy to learn and share, and its huge array of third-party packages – make it a good general purpose language. Its versatility is shown by its users and uses. The Central Intelligence Agency has employed it for hacking, Pixar for producing films, Google for crawling web pages and Spotify for recommending songs.”

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PyMOL

PyMOL is a user-sponsored molecular visualization system on an open-source foundation, maintained and distributed by Schrödinger.

The Molecular Modeling Toolkit

The Molecular Modelling Toolkit (MMTK) is an Open Source program library for molecular simulation applications. In addition to providing ready-to-use implementations of standard algorithms, MMTK serves as a code basis that can be easily extended and modified to deal with standard and non-standard problems in molecular simulations.

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Top 5 Python Web Frameworks

1) Django

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
Ridiculously fast + Reassuringly secure + Exceedingly scalable


TurboGears 2 is a reinvention of the TurboGears project to take advantage of new components, and to provide a fully customizable WSGI (Web Server Gateway Interface) stack. 


Free open source full-stack framework for rapid development of fast, scalable, secure and portable database-driven web-based applications. Written and programmable in Python

4) Flask

Flask is a Python framework available under the BSD license. It was inspired by the Sinatra Ruby framework. Flask depends on the Werkzeug WSGI toolkit and Jinja2template.

 5)Bottle

Bottle is a microframework. Originally meant for building APIs, Bottle implements everything in a single source file. It has no dependencies apart from the Python Standard Library. Coding with Bottle gets you closer to the metal than coding with any full-stack framework.

Snake game using python program

 #To install pygame package "pip install pygame" in python Terminal

 
import pygame, random, sys
from pygame.locals import *
def collide(x1, x2, y1, y2, w1, w2, h1, h2):
      if x1+w1>x2 and x1<x2+w2 and y1+h1>y2 and y1<y2+h2:return True
      else:return False
def die(screen, score):
      f=pygame.font.SysFont('Arial', 30);t=f.render('Your score was: '+str(score), True, (0, 0, 0));screen.blit(t, (10, 270));pygame.display.update();pygame.time.wait(2000);sys.exit(0)
xs = [290, 290, 290, 290, 290];ys = [290, 270, 250, 230, 210];dirs = 0;score = 0;applepos = (random.randint(0, 590), random.randint(0, 590));pygame.init();s=pygame.display.set_mode((600, 600));pygame.display.set_caption('Snake');appleimage = pygame.Surface((20, 20));appleimage.fill((0, 0, 255));img = pygame.Surface((20, 20));img.fill((255, 0, 0));f = pygame.font.SysFont('Arial', 20);clock = pygame.time.Clock()
while True:
      clock.tick(10)
      for e in pygame.event.get():
            if e.type == QUIT:
                  sys.exit(0)
            elif e.type == KEYDOWN:
                  if e.key == K_UP and dirs != 0:dirs = 2
                  elif e.key == K_DOWN and dirs != 2:dirs = 0
                  elif e.key == K_LEFT and dirs != 1:dirs = 3
                  elif e.key == K_RIGHT and dirs != 3:dirs = 1
      i = len(xs)-1
      while i >= 2:
            if collide(xs[0], xs[i], ys[0], ys[i], 20, 20, 20, 20):die(s, score)
            i-= 1
      if collide(xs[0], applepos[0], ys[0], applepos[1], 20, 10, 20, 10):score+=1;xs.append(700);ys.append(700);applepos=(random.randint(0,590),random.randint(0,590))
      if xs[0] < 0 or xs[0] > 580 or ys[0] < 0 or ys[0] > 580: die(s, score)
      i = len(xs)-1
      while i >= 1:
            xs[i] = xs[i-1];ys[i] = ys[i-1];i -= 1
      if dirs==0:ys[0] += 20
      elif dirs==1:xs[0] += 20
      elif dirs==2:ys[0] -= 20
      elif dirs==3:xs[0] -= 20     
      s.fill((255, 255, 255))
      for i in range(0, len(xs)):
            s.blit(img, (xs[i], ys[i]))
      s.blit(appleimage, applepos);t=f.render(str(score), True, (0, 0, 0));s.blit(t, (10, 10));pygame.display.update()            
                          
                 




Top 6 NLP Python Library


NLTK - It is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and an active discussion forum.

TextBlob - It is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.

Stanford CoreNLP -  It provides a set of human language technology tools. It can give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases and syntactic dependencies, indicate which noun phrases refer to the same entities, indicate sentiment, extract particular or open-class relations between entity mentions

spaCy – The spaCy excels at large-scale information extraction tasks. It's written from the ground up in carefully memory-managed Cython. spaCy is the best way to prepare text for deep learning. It interoperates seamlessly with TensorFlow, PyTorch, scikit-learn, Gensim and the rest of Python's awesome AI ecosystem.

Gensim started off as a collection of Scalable statistical semantics and can analyze plain-text documents for semantic structure, retrieve semantically similar documents

Polyglot is a natural language pipeline that supports massive multilingual applications.

AIMA

aima -- Artificial Intelligence, A Modern Approach, by Stuart Russell and Peter Norvig

This file gives an overview of the Python code for the algorithms in the textbook Artificial Intelligence: A Modern Approach, also known as AIMA. The code is offered free for your use under the MIT License.