"python Playground"

Python Playground: Geeky Projects for the Curious Programmer  eBooks & eLearning

Posted by tarantoga at Oct. 17, 2016
Python Playground: Geeky Projects for the Curious Programmer

Mahesh Venkitachalam, "Python Playground: Geeky Projects for the Curious Programmer"
ISBN: 1593276044 | 2015 | EPUB | 352 pages | 24 MB
Python Playground: Geeky Projects for the Curious Programmer

Mahesh Venkitachalam, "Python Playground: Geeky Projects for the Curious Programmer"
2015 | ISBN-10: 1593276044 | 352 pages | PDF | 12 MB

The Python 3 Bible™ | Go from Beginner to Advanced in Python (2016)  eBooks & eLearning

Posted by naag at Dec. 2, 2016
The Python 3 Bible™ | Go from Beginner to Advanced in Python (2016)

The Python 3 Bible™ | Go from Beginner to Advanced in Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 8 Hours | Lec: 73 | 3.71 GB
Genre: eLearning | Language: English

Python - Complete Guide to learning how to program. Go from Beginner to Advanced level in Python with coding exercises!

The Python Quick Syntax Reference [Repost]  eBooks & eLearning

Posted by tanas.olesya at Dec. 1, 2016
The Python Quick Syntax Reference  [Repost]

The Python Quick Syntax Reference by Gregory Walters
English | 17 Dec. 2013 | ISBN: 1430264780 | 140 Pages | PDF | 1 MB

The Python Quick Syntax Reference is the "go to" book that contains an easy to read and use guide to Python programming and development.

Text Analytics with Python  eBooks & eLearning

Posted by naag at Dec. 1, 2016
Text Analytics with Python

Text Analytics with Python: A Practical Real-World Approach to Gaining Actionable Insights from your Data
Apress; 1st ed. edition | 29 Dec 2016 | English | ISBN: 148422387X | 385 pages | PDF | 6 Mb

Derive useful insights from your data using Python. Learn the techniques related to natural language processing and text analytics, and gain the skills to know which technique is best suited to solve a particular problem.

Learning Path: Python Web Penetration Testing  eBooks & eLearning

Posted by FenixN at Nov. 30, 2016
Learning Path: Python Web Penetration Testing

Learning Path: Python Web Penetration Testing
HDRips | MP4/AVC, ~122 kb/s | 1280x720 | Duration: 4:30:51 | English: AAC, 128 kb/s (2 ch) | 786 MB
Genre: Development / Programming

Build secure web applications with Python.

Functional Python Programming (repost)  eBooks & eLearning

Posted by Willson at Nov. 30, 2016
Functional Python Programming (repost)

Steven Lott, "Functional Python Programming"
English | 2015 | ISBN: 1784396990 | 360 pages | EPUB | 1.3 MB

Python Data Visualization Solutions  eBooks & eLearning

Posted by FenixN at Nov. 29, 2016
Python Data Visualization Solutions

Python Data Visualization Solutions
HDRips | MP4/AVC, ~461 kb/s | 1280x720 | Duration: 03:27:23 | English: AAC, 128 kb/s (2 ch) | 687 MB
Genre: Development / Programming

Create attractive visualizations using Python’s most popular libraries.

Playground de Berliac  Comics

Posted by Coda at Nov. 29, 2016
Playground de Berliac

Playground de Berliac
Ediciones Valientes, 2013 | Spanish | CBR | 59 págs. | 79.2 MB

Texto de la editorial: “Playground” es un doble documental. En 1959 se estrena “Shadows”, el primer film de John Cassavetes como director (1956-1959), inaugurando, para muchos, lo que después se conocería como cine independiente norteamericano. “Playground” parte de un “making of” y al mismo tiempo, mediante facsímiles de notas del cuaderno del autor, asistimos al backstage del mismo libro que estamos leyendo. Mediante este juego de espejos, Berliac construye un doble retrato, un péndulo que oscila entre dos lenguajes, dos personas y dos épocas, pero en cuyo vértice se encuentra una única política: la del autor respecto a su medio.

Working with Algorithms in Python [repost]  eBooks & eLearning

Posted by FenixN at Nov. 29, 2016
Working with Algorithms in Python [repost]

Working with Algorithms in Python
HDRips | MP4/AVC, ~953 kb/s | 1280x720 | Duration: 08:39:00 | English: AAC, 61 kb/s (1 ch) | 4.52 GB
Genre: Development / Programming

Learn how to make your Python code more efficient by using algorithms to solve a variety of tasks or computational problems. In this video course, you’ll learn algorithm basics and then tackle a series of problems—such as determining the shortest path through a graph and the minimum edit distance between two genomic sequences—using existing algorithms.