Python Courses Online

Instructor-led live Python training courses demonstrate through hands-on practice various aspects of the Python programming language. Some of the topics covered include the fundamentals of Python programming, advanced Python programming, Python for test automation, Python scripting and automation, and Python for Data Analysis and Big Data applications in areas such as Finance, Banking and Insurance. Experience the remote live training by way of interactive and remote desktop led by a human being!

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

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


How do I start learning Python?


Select among the courses listed in the category that really interests you.

If you are interested in learning the course under this category, click the "Book" button and purchase the course. Select your preferred schedule at least 5 days ahead. You will receive an email confirmation and we will communicate with trainer of your selected course.

Python Training


Python Programming using Classes

About

Classes are a way of aggregating similar data and functions. A class is basically a scope inside which various code (especially function definitions) is executed, and the locals to this scope become attributes of the class, and of any objects constructed by this class. An object constructed by a class is called an instance of that class.

Contents

  • Overview
  • Defining a Class
  • Instance Construction
  • Class Members
    • Methods
      • Why a mandatory argument?
      • Why self?
    • Invoking Methods
    • Dynamic Class Structure
      • Viewing Class Dictionaries
      • Changing Class Dictionaries
  • Why use classes?
  • New Style Classes
    • Properties
    • Static Methods
  • Inheritance
  • Multiple inheritances
  • Special Methods
    • Initialization and Deletion
    • Representation
    • Attributes
    • Other Overrides
  • Programming Practices
    • Encapsulation
    • Doc Strings
    • Adding methods at runtime
      • To a class
      • To an instance of a class
      • Using a function

7 hours

1,656 €

Python Fundamentals

About

Think Python is a concise introduction to software design using the Python programming language. Intended for people with no programming experience, this course starts with the most basic concepts and gradually adds new material. Some of the ideas students find most challenging, like recursion and object-oriented programming, are divided into a sequence of smaller steps and introduced over the course of several chapters. The focus is on the programming process, with a special emphasis on debugging. The course includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practice each new concept.

Course Content

  1. Preface
  2. The way of the program
  3. Variables, expressions and statements
  4. Functions
  5. Case study: interface design
  6. Conditional and recursion
  7. Fruitful functions
  8. Iteration
  9. Strings
  10. Case study: word play
  11. Lists
  12. Dictionaries
  13. Tuples
  14. Case study: data structure selection
  15. Files
  16. Classes and objects
  17. Classes and functions
  18. Classes and methods
  19. Inheritance
  20. Debugging

14 hours

3,312 €

Mathematics with Python and Ruby

About

The languages Python and Ruby have the following in common:

  1. They are free software (i.e., The source code can be easily accessed, and the interpreter that we will use for each language is written in the language itself);
  2. They both support Object-Oriented Programming. (Python is actually Multi-Paradigm)
  3. They are distributed with lightweight interactive consoles (IDLE for Python, irb (interactive Ruby) for Ruby)

Therefore, it is worthwhile to explore these two languages to solve mathematical problems. In this book, we shall enumerate what they bring to the teaching of mathematics and algorithms. In particular, we will study how certain mathematical structures are managed by these two languages.

Content

Mathematics with Python

  • Numbers
    • Integers
    • Fractions
    • Complex Numbers

Mathematics with Ruby

  • Numbers
    • Integers
    • Fractions
    • Real numbers
    • Complex numbers
    • Quaternions and octonions

7 hours

1,656 €

Discover Python and Math

About

Python and Math is an introductory approach to learning how to apply programming skills to solving math problems, while presenting high-level content with low-level terminology. Both experienced and beginner programmers will benefit from what this Wiki-book has to offer. Here are the main objectives: (1) Introduce programmers to solving math problems using programming. (2) Practice problem-solving skills using programming. (3) Introduce new skills and techniques that increase the efficiency of programs. So as a starter, here is an example of a problem you would solve using programming: Find the 10001th prime number, given that 2 is the first and 3 is the second. The main benefit of using programming in problem-solving is where the limitations of pencil/paper become apparent: time. Solving problems by hand can take a long time, especially solving a problem as the one above. Because there are no patterns in prime numbers (as we know), in order to get the 10001th prime, we must write them all out, in hand, one by one. Won't that take a long time! Essentially computers are just fast-number crunchers - we use them to calculate numbers really fast, but only combined with the programmer's mathematical genius can really hard problems be solved.

Content

  • Welcome to Python and Math!
  • Programming + Math
  • Practice
  • Dynamic Programming

7 hours

1,656 €

Tensormodels

About

Tensormodels

A python package for Tensorflow. It has the right level of abstraction needed to built state-of-the-art deep learning models. Tensormodels also provides queues for data prefetching, so you don't have to use Tensorflow data queues and you can write custom data augmentation functions. It also allows training on multi-gpus without any change in code. To get started look at example/example_train.py


7 hours

1,656 €

Haar Object Marker

About

haar-object-marker

A small python tool for creating positive text file for OpenCV haar training. A small tool written in Python to create a positive txt file to be used for OpenCV haar training.

Requisite :

OpenCV 2.4.1+ with python support with all the paths installed properly Python 2.7.3


7 hours

1,656 €

Learning OpenCV 4 Computer Vision With Python 3

About

OpenCV is computer vision library It is a free and open-source software. OpenCV is developed by Intel

7 hours

1,656 €

Explore Python Image Processing

About

scikit-image (formerly scikits.image) is an open-source image processing library for the Python programming language. It includes algorithms for segmentation, geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection, and more. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

Content

  • Overview
  • Implementation

7 hours

1,656 €

Mastering Object Oriented Python

About

Python is general-purpose programming language It is a object-based language. named after Monty Python. Python is mainly influenced by ALGOL 68, ABC and Modula-3. Python follows a programming paradigm of functional programming, object-oriented programming and dynamic programming. Python is developed by Python Software Foundation and Guido van Rossum. It is designed by Guido van RossumSupported by cross-platform Operating Systems.

Content

  • Design philosophy and features
  • Syntax and semantics
    • Indentation
    • Statements and control flow
    • Expressions
    • Methods
    • Typing
    • Arithmetic operations
  • Programming examples
  • Libraries
  • Development environments
  • Implementations
    • Reference implementation
    • Other implementations
    • Unsupported implementations
    • Cross-compilers to other languages
    • Performance
  • Development
  • API documentation generators
  • Naming
  • Uses

7 hours

1,656 €

Mastering OpenCV 4 With Python

About

OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly aimed at real-time computer vision. Originally developed by Intel, it was later supported by Willow Garage then Itseez (which was later acquired by Intel). The library is cross-platform and free for use under the open-source Apache 2 License. Starting with 2011, OpenCV features GPU acceleration for real-time operations.

Content

  • History
  • Applications
  • Programming language
  • Hardware acceleration
  • OS support

7 hours

1,656 €

Learn Bioinformatics With Python

About

The Biopython Project is an open-source collection of non-commercial Python tools for computational biology and bioinformatics, created by an international association of developers. It contains classes to represent biological sequences and sequence annotations, and it is able to read and write to a variety of file formats. It also allows for a programmatic means of accessing online databases of biological information, such as those at NCBI. Separate modules extend Biopython's capabilities to sequence alignment, protein structure, population genetics, phylogenetics, sequence motifs, and machine learning. Biopython is one of a number of Bio* projects designed to reduce code duplication in computational biology.

Content

  • History
  • Design
  • Key features and examples
    • Sequences
    • Sequence annotation
    • Input and output
    • Accessing online databases
    • Phylogeny
    • Genome diagrams
    • Macromolecular structure
    • Population genetics
    • Wrappers for command-line tools

7 hours

1,656 €

Discover IPython Interactive Computing And Visualization

About

IPython (Interactive Python) is a command shell for interactive computing in multiple programming languages, originally developed for the Python programming language, that offers introspection, rich media, shell syntax, tab completion, and history. IPython provides the following features:

  • Interactive shells (terminal and Qt-based).
  • A browser-based notebook interface with support for code, text, mathematical expressions, inline plots and other media.
  • Support for interactive data visualization and use of GUI toolkits.
  • Flexible, embeddable interpreters to load into one's own projects.
  • Tools for parallel computing.

Content

  • Parallel computing
  • Other features
  • End of Python 2 support
  • Project Jupyter

7 hours

1,656 €

Explore Gputil

About

GPUtil

GPUtil is a Python module for getting the GPU status from NVIDA GPUs using nvidia-smi. GPUtil locates all GPUs on the computer, determines their availablity and returns a ordered list of available GPUs. Availablity is based upon the current memory consumption and load of each GPU. The module is written with GPU selection for Deep Learning in mind, but it is not task/library specific and it can be applied to any task, where it may be useful to identify available GPUs. Table of Contents

  1. Requirements
  2. Installation
  3. Usage
    1. Main functions
    2. Helper functions
  4. Examples
    1. Select first available GPU in Caffe
    2. Occupy only 1 GPU in TensorFlow
    3. Monitor GPU in a separate thread
  5. License

    Requirements

    NVIDIA GPU with latest NVIDIA driver installed. GPUtil uses the program nvidia-smi to get the GPU status of all available NVIDIA GPUs. nvidia-smi should be installed automatically, when you install your NVIDIA driver. Supports both Python 2.X and 3.X. Python libraries:

    • subprocess (The Python Standard Library)
    • distutils (The Python Standard Library)
    • math (The Python Standard Library)
    • random (The Python Standard Library)
    • time (The Python Standard Library)
    • os (The Python Standard Library)
    • sys (The Python Standard Library)
    • platform (The Python Standard Library) Tested on CUDA driver version 390.77 Python 2.7 and 3.5.

7 hours

1,656 €

Pyscripter

About

PyScripter is a free and open-source Python Integrated Development Environment (IDE) created with the ambition to become competitive in functionality with commercial Windows-based IDEs available for other languages.

Content

  • Features
  • Screenshots
  • Blog

7 hours

1,656 €

Peregrine

About

Peregrine: A Python library which provides several algorithms to detect arbitrage opportunities across over 120 cryptocurrency exchanges in 48 countries on over 38,000 trading pairs

Content

  • Installation
  • Usage
  • Upcoming Changes

7 hours

1,656 €

Learn wxPython

About

wxPython is a wrapper for the cross-platform GUI API (often referred to as a "toolkit") wxWidgets (which is written in C++) for the Python programming language. It is one of the alternatives to Tkinter. It is implemented as a Python extension module (native code). wxPython gives an amazing arrangement of tools that permit you to rapidly and effectively developing applications that can run on a wide range of platforms. Since wxWidgets gives a covering around every stage's local GUI toolbox, the applications worked with wxPython will have a local look and feel any place they are deployed.

Content

 

  • Create UI
  • Controls
  • Deploy wxPython applications to various OS.
  • Application events
  • Using Grids
  • Web Services interaction
  • Customization of displays using Paint events
  • Multiple language Interaface

14 hours

3,312 €

Learn Data Analysis with Python

About

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively

Information Analysis with Python offers an advanced way to deal with data analysis so you can work with the most recent and most remarkable Python tools, AI procedures, and open source libraries. 

Content

  • The tools needed
  • Various case studies
  • Toolset across Python and Jupyter
  • The future of Data Science

14 hours

3,312 €

Fundamentals of MenuMaker

About

Menu Maker is 100% Python heuristics-driven menu generator for a number of X Window Managers and desktop environments. It features large knowledge base of known programs, powerful and flexible search algorithms, persistence of menus across several WMs


7 hours

1,656 €

Explore Eric Integrated Development Environment

About

Python Development Environment with all batteries included

Eric is a Python IDE written using PyQt and QScintilla. It provides various features such as any number of open editors, an integrated (remote) debugger, project management facilities, unit test, refactoring and much more.


7 hours

1,656 €

Work around with edna

About

edna is a small, Python-based HTTP server that dynamically constructs web pages to navigate, select, and stream MP3s from a large MP3 library.


7 hours

1,656 €

Basics of pyTube

About

pyTube is a python-based commandline YouTube search. One can search for videos and display them in their default web browser. Requires python 2.5 and gdata.


7 hours

1,656 €

Explore DoCoTag

About

This is a small Python script that combines downloading of Flash videos, converting them into another format, and then tagging them. It uses a CLI. Downloads with: Clive Converts with: FFmpeg Tags with: audio: Mutagen video: not supported yet.


7 hours

1,656 €

Work around with ID3 py

About

This is a simple Python module for retrieving and setting so-called ID3 tags on MP3 compressed audio files through an object-oriented interface. MP3 players generally use this simple information for display track title, artist name, and album title whi


7 hours

1,656 €

Basics of Python Computer Vision Framework

About

The Python Computer Vision Framework is an opened project deisgned for all those interested in computer vision. It aims at making computer vision more easy and structured and matlab-free. It may also be used for other artistic and scientific areas.


7 hours

1,656 €

Work around with Python Neural Genetic Algorithm Hybrids

About

This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.


7 hours

1,656 €

Know ASDRAD

About

ASDRAD is a source code generator which reads a configuration file and generates *.c, *.h, makefiles etc. It's written in Python and uses templates. Output files are for AmigaOS and derivates like AROS and MorphOS.


7 hours

1,656 €

Know PyInstaller

About

Converts (packages) Python programs into stand-alone executables

PyInstaller is a program that converts (packages) Python programs into stand-alone executables, under Windows, Linux, Mac OS X, AIX and Solaris. Its main advantages over similar tools are that PyInstaller works with any version of Python since 2.3, it builds smaller executables thanks to transparent compression, it is fully multi-platform, and uses the OS support to load the dynamic libraries, thus ensuring full compatibility. The main goal of PyInstaller is to be compatible with 3rd-party packages out-of-the-box. This means that, with PyInstaller, all the required tricks to make external packages work are already integrated within PyInstaller itself so that there is no user intervention required. You'll never be required to look for tricks in wikis and apply custom modification to your files or your setup scripts. As an example, libraries like PyQt, Django or matplotlib are fully supported, without having to handle plugins or external data files manually.


7 hours

1,656 €

Fundamentals of PyBuilder for compiling with py2exe

About

PyBuilder is a Build Tool for compiling python scripts to exe format, on windows. It has a userfriendly interface and uses py2exe to do the compiling. No more messing around with command prompt, or setup scripts. PyBuilder will do it for you.


7 hours

1,656 €

Work around with TkinterDnD

About

Python wrapper module for tkdnd

TkinterDnD is a python wrapper for George Petasis' tkDnD Tk extension. tkDnD adds native drag and drop support for windows and (yet partially) unix and Mac OSX to Tk. TkinterDnD makes this functionality available for Python/Tkinter.


7 hours

1,656 €

Discover getpkg slackware package grabber

About

Getpkg is a python program for downloading packages for Slackware linux. It is menu driven and stores configuration options in the users' home directory.


7 hours

1,656 €


Is learning Python hard?


In the field of Python 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 a good field?


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