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Python Neural Network that classifies through the training database the type of flower (Iris). This code example is from a Python classifying neural network with 3 different outputs, which informs which type of (Iris) out of the three is correct, taking into account the database used for training. The database presents three types of (Iris) which can be (Iris setosa), (Iris virginica) or (Iris versicolor). As for the Neural network, it has 4 inputs, two hidden layers with 8 neurons each, an output layer with three neurons, normal weight initialization function, 'relu' and 'softmax' activation function, and uses as optimizer the ' Adam '. Curiosity: To improve the neural network one has to test several values that the 'Keras' library offers, so it is advisable to study cross-validation.
A Python3 program to identify the author of an unknown text. This is done by analysing the charactertistic ngram frequencies of the authors' works in the training set, and the matched to data in the test set.
You need python3 and nltk installed. Further, there should be 2 directories - "Train Data" and "Test Data", present in the directory where the py file is located.
PyCoach is a Python package that provides: The main purpose of PyCoach is handle training, evaluation and prediction, leaving other tasks like create the network model and dataloaders to the users. This is an initial personal project and contribution to it is appreciated. Actual status: Working with PyTorch 0.4!
The course is built to be taught in a structured order: 1) Python 3 Setup 2) Python 3 Core 3) Python 3 Types 4) Python 3 Variables 5) Python 3 Flow Control
This course was designed in free time for our team who are not already or currently studying basic programing principles. It is built to introduce them to a few concepts that are key to understanding the Python programing language and syntax. Many of the lessons as a seasoned programmer come only with time, this course is meant to arm a programmer with the thought process and how logic works within the programing world and the basic concepts to apply that thought process to get Python to do what you need it get the job done.
peepdf is a Python tool to explore PDF files in order to find out if the file can be harmful or not. The aim of this tool is to provide all the necessary components that a security researcher could need in a PDF analysis without using 3 or 4 tools to make all the tasks. With peepdf it's possible to see all the objects in the document showing the suspicious elements, supports all the most used filters and encodings, it can parse different versions of a file, object streams and encrypted files. With the installation of PyV8 and Pylibemu it provides Javascript and shellcode analysis wrappers too. Apart of this it's able to create new PDF files and to modify/obfuscate existent ones. The main functionalities of peepdf are the following: Analysis:
pyjanitor is a Python implementation of the R package janitor, and provides a clean API for cleaning data. Why janitor? Originally a port of the R package, pyjanitor has evolved from a set of convenient data cleaning routines into an experiment with the method chaining paradigm. chaining Data preprocessing usually consists of a series of steps that involve transforming raw data into an understandable/usable format. These series of steps need to be run in a certain sequence to achieve success. We take a base data file as the starting point, and perform actions on it, such as removing null/empty rows, replacing them with other values, adding/renaming/removing columns of data, filtering rows and others. More formally, these steps along with their relationships and dependencies are commonly referred to as a Directed Acyclic Graph (DAG). The pandas API has been invaluable for the Python data science ecosystem, and implements method chaining of a subset of methods as part of the API. For example, resetting indexes (.reset_index()), dropping null values (.dropna()), and more, are accomplished via the appropriate pd.DataFrame method calls. Inspired by the ease-of-use and expressiveness of the dplyr package of the R statistical language ecosystem, we have evolved pyjanitor into a language for expressing the data processing DAG for pandas users. To accomplish this, actions for which we would need to invoke imperative-style statements, can be replaced with method chains that allow one to read off the logical order of actions taken. Let us see the annotated example below. First off, here is the textual description of a data cleaning pathway:
DataFrame.import numpy as np import pandas as pd import janitor
company_sales = { 'SalesMonth': ['Jan', 'Feb', 'Mar', 'April'], 'Company1': [150.0, 200.0, 300.0, 400.0], 'Company2': [180.0, 250.0, np.nan, 500.0], 'Company3': [400.0, 500.0, 600.0, 675.0] } In pandas code, most users might type something like this:
df = pd.DataFrame.from_dict(company_sales)
del df['Company1']
df = df.dropna(subset=['Company2', 'Company3'])
df = df.rename( { 'Company2': 'Amazon', 'Company3': 'Facebook', }, axis=1, )
df['Google'] = [450.0, 550.0, 800.0]
Slightly more advanced users might take advantage of the functional API: df = ( pd.DataFrame(company_sales) .drop(columns="Company1") .dropna(subset=['Company2', 'Company3']) .rename(columns={"Company2": "Amazon", "Company3": "Facebook"}) .assign(Google=[450.0, 550.0, 800.0]) )
With pyjanitor, we enable method chaining with method names that are verbs, which describe the action taken. df = ( pd.DataFrame.from_dict(company_sales) .remove_columns(['Company1']) .dropna(subset=['Company2', 'Company3']) .rename_column('Company2', 'Amazon') .rename_column('Company3', 'Facebook') .add_column('Google', [450.0, 550.0, 800.0]) )
As such, pyjanitor's etymology has a two-fold relationship to "cleanliness". Firstly, it's about extending Pandas with convenient data cleaning routines. Secondly, it's about providing a cleaner, method-chaining, verb-based API for common pandas routines.
CORScanner is a python tool designed to discover CORS misconfigurations vulnerabilities of websites. It helps website administrators and penetration testers to check whether the domains/urls they are targeting have insecure CORS policies.
Python, NLTK-based package for shallow parsing of Brazilian Portuguese
Aelius is an ongoing open source project aiming at developing a suite of Python, NLTK-based modules and interfaces to external freely available tools for shallow parsing of Brazilian Portuguese. It also includes language resources such as language models, sample texts, and gold standards. Presently, Aelius already offers facilities for POS-tagging and chunking corpora and outputting annotations in different formats, such as in XML in the TEI P5 encoding scheme.
py 2048, a well know 2048 clone board game
Written in Python 2.7.x and pygame1.9.1~2 compliant (at least) Python 3.4 HOW TO PLAY: keyboard UP, DOWN, LEFT, RIGHT, escape to quit increase your score shifting tiles with same number. the value of resulting tile is multiplied *2. CUSTOMISE YOUR GAME: edit py2048.cfg configuration file. you can: -Change Raws and Columns amount. -Change Random range value of new tile. -Limit the maximum tile value. -Limit time allowed for movement. -Enable no movement (a new tile appear even if your movement doesn't shift anything). -Set shift to one step only. -Save the game state when exit (for autoload at start game) -Key config player 2 ect... V0.1.0: -add Small, Medium and Large preconfig Panel Game. -add HiScore for Small, Medium And Large Panel Game -check for close windows as QUIT event. -add Change theme screen BckGnd on score tile. -add counter move V0.1.2: -compliant Pyhton34 -add AI Auto Boot -add 2 players Human/AI (keys A,Q,W,X)
Netviz is a Python app designed to monitor devices on the user's LAN.
Netviz (short for NETwork VIsualiZer) is a Python program I cobbled together for a user to monitor devices on the user's LAN or a small section of the Internet. Essentially, it's a pretty interface for information on the MAC addresses and IPs of those devices. The range to search can be set either by the boundaries of the user's LAN using the "Find Range" button or through user-typed IPs. Also, there is a list of tracked MACs. If any of these tracked MACs appears on the LAN, the program shows the IP of this MAC.
PDF-Shuffler is a small python-gtk application, which helps the user to merge or split pdf documents and rotate, crop and rearrange their pages using an interactive and intuitive graphical interface. It is a frontend for python-pyPdf.
PdfBooklet is a Python Gtk application which allows to make books or booklets from existing pdf files. It can also adjust margins, rotate, scale, merge files or extract pages.
py 2048, a well know 2048 clone board game
Written in Python 2.7.x and pygame1.9.1~2 compliant (at least) Python 3.4 HOW TO PLAY: keyboard UP, DOWN, LEFT, RIGHT, escape to quit increase your score shifting tiles with same number. the value of resulting tile is multiplied *2. CUSTOMISE YOUR GAME: edit py2048.cfg configuration file. you can: -Change Raws and Columns amount. -Change Random range value of new tile. -Limit the maximum tile value. -Limit time allowed for movement. -Enable no movement (a new tile appear even if your movement doesn't shift anything). -Set shift to one step only. -Save the game state when exit (for autoload at start game) -Key config player 2 ect... V0.1.0: -add Small, Medium and Large preconfig Panel Game. -add HiScore for Small, Medium And Large Panel Game -check for close windows as QUIT event. -add Change theme screen BckGnd on score tile. -add counter move V0.1.2: -compliant Pyhton34 -add AI Auto Boot -add 2 players Human/AI (keys A,Q,W,X)
Python application to scan DataMatrix barcodes using webcam. Uses libdmtx as backend decoder and pyGTK for display. Intended as a conference badge scanning application, but flexible enough to allow other applications.
A stylish Video Converter written in Python
PyVcon is a Python video converter using PyQt as its primary GUI Toolkit and because of this, PyVcon has a very sleek user friendly interface. Using ffmpeg for video conversion, PyVcon has great performance in speed and converts any kind of video into mp4, mkv, wmv, avi, 3gp, m4a, mp3 and wma formats. Also included, is MediaInfo who PyVcon partly depends for video metadata generation. PyVcon is also generally known to be of outstanding value, possessing a highly flexible video quality control feature, PyVcon gives you full control over your video's final appearance and size. One of the most special and unique features of PyVcon is its inbuilt ability to stream-copy any kind of video added with a special ability to make known to the user what happens in the background by printing out stdout and stderr streams directly from ffmpeg unto the GUI in real time. You can also output this stdout and stderr streams as a text file for further analysis and inspection.
Python spreadsheet application
Pyspread is a non-traditional spreadsheet application that is based on and written in the programming language Python. The goal of pyspread is to be the most pythonic spreadsheet. Pyspread expects Python expressions in its grid cells, which makes a spreadsheet specific language obsolete. Each cell returns a Python object that can be accessed from other cells. These objects can represent anything including lists or matrices. Dependencies + Python (>=2.7, <3.0) + numpy (>=1.1.0) + wxPython (>=2.8.10.1, Unicode version required) + matplotlib (>=1.1.1) + pycairo (>=1.8.8) Optional dependencies + python-gnupg (>=0.3.0, for opening own files without approval) + xlrd (>=0.9.2, for loading Excel® files) + xlwt (>=0.9.2, for saving Excel files, pyspread >=v0.3.0 required) + jedi (>=0.8.0, for tab completion and context help in the entry line, pyspread >=v0.3.0 required) + basemap (>=1.0.7, for the weather example pys file)
BlockIt provides a Python framework to scan and parse a program file into constituent nested blocks, however defined, forming a block tree of your code and can be used as a mechanism to "extend" in some sense, the underlying programming language.
A python XML aware asynchronous multi-user server. Allows Macromedia Flash clients to connect to this server via actionscript, to create rooms, subrooms ... to chat in private or in a room, to protect a room, to play an internet multiplayer flash games
An experimental terminal shell project in Python & curses. The aim is to be a command-driven language, with simple english-like grammar but still powerful and easy to do most CLI tasks without having to remember "weird" unix commands.
lshell is a shell coded in Python, that lets you restrict a user's environment to limited sets of commands, choose to enable/disable any command over SSH (e.g. SCP, SFTP, rsync, etc.), log user's commands, implement timing restriction, and more.
In the field of Python Applications learning from a live instructor-led and hand-on training courses would make a big difference as compared with watching a video learning materials. Participants must maintain focus and interact with the trainer for questions and concerns. In Qwikcourse, trainers and participants uses DaDesktop , a cloud desktop environment designed for instructors and students who wish to carry out interactive, hands-on training from distant physical locations.
For now, there are tremendous work opportunities for various IT fields. Most of the courses in Python Applications is a great source of IT learning with hands-on training and experience which could be a great contribution to your portfolio.
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