Python Utility Courses Online

Live Instructor Led Online Training Python Utility courses is delivered using an interactive remote desktop! .

During the course each participant will be able to perform Python Utility exercises on their remote desktop provided by Qwikcourse.


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Python Utility Training


Fairing

About

Kubeflow Fairing is a Python package that streamlines the process of building, training, and deploying machine learning (ML) models in a hybrid cloud environment. By using Kubeflow Fairing and adding a few lines of code, you can run your ML training job locally or in the cloud, directly from Python code or a Jupyter notebook. After your training job is complete, you can use Kubeflow Fairing to deploy your trained model as a prediction endpoint.


7 hours

$1,990

ToSpcy

About

ToSpcy is a python package which helps prepocessing dataset for model training in spaCy. It could convert labeled dataset into spaCy format.

Example

from toSpcy.toSpacy import Convertor dataset=['When Sebastian Thrun started working on self-driving cars at Google in 2007, few people outside of the company took him seriously.','Tom is traveling in China'] myConvertor=Convertor() spacydata=myConvertor.toSpacyFormat(dataset) spacydata

[('When Sebastian Thrun started working on self-driving cars at Google in 2007, few people outside of the company took him seriously.', {'entities': [(5, 20, 'p'), (61, 67, 'o'), (71, 75, 'd')]}), ('Tom is traveling in China', {'entities': [(0, 3, 'PER'), (20, 25, 'GEO')]})]

TagLabels

You could also covert the tags into desired labels when instantiating your object by using "taglabels" - a dictionary of tags and corresponding labels: dic_taglabels={'p':'PERSON','o':'ORG'} myConvertor=Convertor(dic_taglabels) spacydata=myConvertor.toSpacyFormat(dataset) spacydata[0] ('When Sebastian Thrun started working on self-driving cars at Google in 2007, few people outside of the company took him seriously.', {'entities': [(5, 20, 'PERSON'), (61, 67, 'ORG'), (71, 75, 'd')]})


7 hours

$1,990

Explore Kerasbestfit

About

Introducing kerasbestfit This is a Python module that I wrote to make training and finding the best Keras model easier. The module uses Keras's EarlyStopping and Checkpoint callbacks so that you just need to call one function and it finds and saves the model that has the best metrics. The advantage to using this module is that you can just let it run and you'll find the best model in your folder where you can later use it for predictions. It can also stop after a certain duration so that you can fit the training session into your provider time limit. There is even a snifftest parameter where you can skip training an iteration that has very poor performance, thus saving training time. Why did I create a new module instead of using Sklearn, T-Pot or something else to find the best fit? Because it made me dig into Keras to understand it better. Simple as that. The result is a pretty nifty function. Installation pip install kerasbestfit Usage

train with 20 epochs with patience of 3, save the model structure and weights, and show the best so far (bsf)

def log_msg(msg=''): print(msg) return

results, log = kbf.find_best_fit(model=model, metric='val_acc', xtrain=train_images, ytrain=train_labels, xval=test_images, yval=test_labels, validation_split=0, batch_size=500, epochs=20, patience=3, snifftest_max_epoch=0, snifftest_metric_val=0, show_progress=True, format_metric_val='{:1.10f}', save_best=True, save_path='', best_metric_val_so_far=0, logmsg_callback=log_msg, finish_by=0)

Output

here we can see that it aborted after 12 epochs since it went 3 epochs without a better result.

best result is 0.9745000005

e0: val_acc=0.9284999937 ! bsf=0.9284999937 Saved e1: val_acc=0.9526999980 ! bsf=0.9526999980 Saved e2: val_acc=0.9618999988 ! bsf=0.9618999988 Saved e3: val_acc=0.9645999998 ! bsf=0.9645999998 Saved e4: val_acc=0.9637999952 bsf=0.9645999998 e5: val_acc=0.9687000036 ! bsf=0.9687000036 Saved e6: val_acc=0.9700999945 ! bsf=0.9700999945 Saved e7: val_acc=0.9718000025 ! bsf=0.9718000025 Saved e8: val_acc=0.9741999984 ! bsf=0.9741999984 Saved e9: val_acc=0.9745000005 *! bsf=0.9745000005 Saved e10: val_acc=0.9736999959 bsf=0.9745000005 e11: val_acc=0.9718000025 bsf=0.9745000005 e12: val_acc=0.9694999963 bsf=0.9745000005


7 hours

$1,990

Fundamentals of Europython2018

About

RIDICULOUSLY ADVANCED PYTHON

Advanced Python Training At EuroPython 2018

Francesco Pierfederici

If you have been using Python for some time already and want to reach new heights in your language mastery, this training session is for you!

Python has a number of features which are extremely powerful but, for some reason are not particularly well known in the community. This makes progressing in our Python knowledge quite hard after we reach an intermediate level. Fear not: this session has you covered! We will look at some advanced features of the Python language including properties, class decorators, the descriptor protocol, annotations, data classes and meta-classes. If time allows we will even delve into the abstract syntax tree (AST) itself. We will use Python 3.7 and strongly recommend that attendees install a reasonably recent version of Python 3 to make the most out of the training.


7 hours

$1,990

Tasktiger

About

TaskTiger is a Python task queue using Redis. (Interested in working on projects like this? Close is looking for great engineers to join our team) Features TaskTiger forks a subprocess for each task, This comes with several benefits: Memory leaks caused by tasks are avoided since the subprocess is terminated when the task is finished. A hard time limit can be set for each task, after which the task is killed if it hasn't completed. To ensure performance, any necessary Python modules can be preloaded in the parent process. TaskTiger has the option to avoid duplicate tasks in the task queue. In some cases it is desirable to combine multiple similar tasks. For example, imagine a task that indexes objects (e.g. to make them searchable). If an object is already present in the task queue and hasn't been processed yet, a unique queue will ensure that the indexing task doesn't have to do duplicate work.


7 hours

$1,990

Discover IMDbPY

About

Python package to retrieve and manage data of the IMDb

IMDbPY is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies. Platform-independent, it can retrieve data from both the IMDb's web server and a local copy of the whole db.


7 hours

$1,990

Explore SQLObject

About

SQLObject is a Python ORM.

SQLObject is an object-relational mapper for Python. It supports MySQL, PostgreSQL, SQLite, Firebird, MaxDB/SapDB, MS SQL and Sybase. It supports Python versions back to 2.7.


7 hours

$1,990

Explore PyAIMLng

About

The Next Generation of Python AIML Interpreter

A Python AIML interpreter with non-compliant extensions. PyAIMLng is an interpreter for AIML (the Artificial Intelligence Markup Language), forked from Cort Stratton's PyAIML. PyAIMLng adds additional features which are not part of the AIML 1.0.1 specification in order to provide the bot master with a rich set of tools from which to build a more believable AIML bot.


7 hours

$1,990

Know PyH

About

A powerful python module that lets you output HTML code from within a python script in a very efficient and convenient fashion. Code your web-page like a GUI! Create tags and modify their attributes at anytime during your script.


7 hours

$1,990

Know ET Pipe

About

ETPipe is a small Python utility for RTCW:Enemy Territory. It serves as a platform for plugins to dynamically read/write to the in-game console. Some useful standard plugins are included by default and users can easily script their own.


7 hours

$1,990

Discover QWPython

About

QWPython is a Python-powered QuakeWorld dedicated server. The core engine has been wrapped up as a Python module and altered to call back to Python to execute Quake game logic. A QuakeC -> Python translator is also included.


7 hours

$1,990

Explore DenyHosts

About

DenyHosts is a python program that automatically blocks ssh attacks by adding entries to /etc/hosts.deny. DenyHosts will also inform Linux administrators about offending hosts, attacked users and suspicious logins. 


7 hours

$1,990

Fundamentals of gEcrit

About

gEcrit is a Python orientated source code editor. It tries to keep the interface as clean as possible and keep the menus simple. It features all the common features a Python programmer might need, including an interactive Python shell.


7 hours

$1,990

Work around with pyvisi

About

PyVisi is the Python visualisation interface: a generic Python-based interface to many different scientific visualisation packages. PyVisi is intended for use in both standard and high-performance computing environments, and with the escript package.


7 hours

$1,990

Explore pyARS

About

The pyARS python module allows developers to use BMC's ARSystem (Remedy ARS) and Atrium CMDB functions from within Python. Using Python's interactive shell, it is extremely easy to retrieve and modify data entries as well as workflow objects. ARSystem, also known as ARS or Remedy, is a powerful enterprise workflow engine. Atrium is a Configuration Management Data Base, a.k.a. Installed Base built on top of ARSystem.


7 hours

$1,990

Discover Python3 GnuPGInterface GPG

About

Python3 GPG aka GnuPG Interface

Python3 port of Frank Tobin's Python GnuPGInterface incorporating the --keyring and --secret-keyring patch. "Python GnuPGInterface is meant to be a filehandle-concentrating Python interface to GnuPG, the GNU Privacy Guard. It has an API similar to the Perl module GnuPG::Interface" and identical to the Python2 module GnuPGInterface.


7 hours

$1,990

Know PyExPsiN

About

PyExPsiN is a Python crossplatform (Linux/Windows) module for made easy writing psychological experiments. Right now includes functions for DMTS (Delayed Matching to Sample), N-Back, Spatial N-Back, "Grammatical", Mixed Dots, Stroop, and more.


7 hours

$1,990

Know Python games library for PS3

About

Python PS3 support library, primarily designed to support game development under Linux. At its core, there is an optimised SPU alpha-blended blit for fast 2D rendering, and also offers full support for multiple game controllers and sound playback.


7 hours

$1,990

Learn GeigerLog

About

Python program for Geiger counters and Environmental Sensors

GeigerLog is a combination of data logger, presenter, and analyzer, and now released as version 1.2 ! Based on Python (Version 3), hence runs on Linux, Windows, Macs, and other. It runs on a Raspberry Pi. It now also runs on HiDPI screens. Initially developed for the sole use with Geiger counters, it has now become a more universal tool, which equally well handles environmental data like temperature, air-pressure, humidity, CO2. Continues to support GQ Electronic's GMC-300/320/500/600 Geiger counters, RadMon and other IoT devices, audio-clicks producing Geiger counters, Gamma-Scout Geiger counters, I2C based sensors, and now also CO2 monitors. GeigerLog reads data from the devices, saves them to databases, prints to screen and plots as graph, showing the Time course of values vs time. The graph is auto-updated and allows various customization. Quality control using Statistics, Poisson Test, FFT & Autocorrelation and more. Simple Non-GUI data loggers are available


7 hours

$1,990

Work around with Python Package Manager

About

Python Package Manager is a cross platform tool for Python to assist with the downloading and installation of python packages. Coded in Python, and using wxWidgets, this program is a GUI that drives easy_install and/or pip.


7 hours

$1,990

Learn pyrotate

About

English: Pyrotate is Python program for log files rotation. It uses any external archiver such as Winrar, 7-zip or gzip for compress and may rotate files in GNU/Linux logrotate's style. Program works in any OS such as Windows, Linux, Unix, Mac OS, etc, where Python may work. Dependencies: - Python v2.6 or better v2.7 (v2.5 for pyrotate v0.8 or earlier) - an external archiver Russian: Программа для ротации и/или архивации логов (и любых других) файлов, которая использует любой внешний архиватор и может ротировать файлы в стиле Линуксовой программы logrotate в любой ОС, где работает интерпретатор языка Python. Требования: - Python не ниже v2.6, а лучше v2.7 (или v2.5 для pyrotate v0.8 или ранее) - любой внешний архиватор


7 hours

$1,990

Basics of Python Configuration Parser Module

About

Python configuration parser module which supports arbitrarily deep hierarchical option "dictionaries" and partnership with the existing optparse (optik) python module. The API of this module will follow as close as possible the optparse model.


7 hours

$1,990


Is learning Python Utility hard?


In the field of Python Utility 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.


Is Python Utility a good field?


For now, there are tremendous work opportunities for various IT fields. Most of the courses in Python Utility 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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