Python Courses

Python for Data Structures, Algorithms, and Interviews!

2018-02-08T17:52:40+00:00
Python for Data Structures, Algorithms, and Interviews!

Python for Data Structures, Algorithms, and Interviews!

Jose Portilla – Data Scientist

Python for Data Structures, Algorithms, and Interviews!: Get a kick start on your career and ace your coding interviews!

Python for Data Structures, Algorithms, and Interviews! 2018-02-08T17:52:40+00:00

Computer Vision Intro™ OpenCV 3 in Python & Machine Learning

2018-02-08T17:52:40+00:00
Computer Vision Intro™ OpenCV 3 in Python & Machine Learning

Computer Vision Intro™ OpenCV 3 in Python & Machine Learning

Rajeev Ratan – Computer Vision Expert, Data Scientist & Electrical Engineer

Computer Vision Intro™ OpenCV 3 in Python & Machine Learning: Build 12 Computer Vision Python apps​ e.g. Augmented Reality Face Filters, Face Recognition, Car/People Detection & OCR

Computer Vision Intro™ OpenCV 3 in Python & Machine Learning 2018-02-08T17:52:40+00:00

Bash Scripting and Shell Programming (Linux Command Line)

2018-02-08T17:52:16+00:00
Bash Scripting and Shell Programming (Linux Command Line)

Bash Scripting and Shell Programming (Linux Command Line)

Jason Cannon – Professional system administrator, consultant, and author.

Bash Scripting and Shell Programming (Linux Command Line): Learn bash programming for Linux, Unix, & Mac. Learn how to write bash scripts like a pro & solve real-world problems!

Bash Scripting and Shell Programming (Linux Command Line) 2018-02-08T17:52:16+00:00

Python eCommerce | Build a Django eCommerce Web Application

2018-02-08T17:52:06+00:00
Python eCommerce | Build a Django eCommerce Web Application

Python eCommerce | Build a Django eCommerce Web Application

Justin Mitchel – Coding Entrepreneur & Teacher – 325,000+ Students

Python eCommerce | Build a Django eCommerce Web Application: Launch your business by learning to build your own eCommerce app step-by-step.

Python eCommerce | Build a Django eCommerce Web Application 2018-02-08T17:52:06+00:00

The Ultimate Python Programming Tutorial

2018-02-08T17:52:06+00:00
The Ultimate Python Programming Tutorial

The Ultimate Python Programming Tutorial

Infinite Skills – High Quality Training

The Ultimate Python Programming Tutorial: Python Programming tutorial for beginners. This Python Training Course Comes with Certification of Completion

The Ultimate Python Programming Tutorial 2018-02-08T17:52:06+00:00

The Docker for DevOps course: From development to production

2018-02-08T17:51:39+00:00
The Docker for DevOps course: From development to production

The Docker for DevOps course: From development to production

Nick Janetakis – Developer / Docker Captain / Teacher

The Docker for DevOps course: From development to production: Updated for Docker v17.06. Learn how to build and deploy web applications with Docker in an automated way.

The Docker for DevOps course: From development to production 2018-02-08T17:51:39+00:00

Automated Software Testing with Python

2018-02-08T17:51:27+00:00
Automated Software Testing with Python

Automated Software Testing with Python

Jose Salvatierra – Founder of Teclado and Software Engineer

Automated Software Testing with Python: Learn about automated testing with Python, BDD, Selenium Webdriver, and Postman, focusing on web applications

Automated Software Testing with Python 2018-02-08T17:51:27+00:00

The Complete Python Masterclass: Learn Python From Scratch

2018-02-08T17:51:16+00:00
The Complete Python Masterclass: Learn Python From Scratch

The Complete Python Masterclass: Learn Python From Scratch

Ashutosh Pawar – Entrepreneur, Python, Java & Android Geek

The Complete Python Masterclass: Learn Python From Scratch: Python course for beginners, Learn Python Programming , Python Web Framework Django, Flask, Web scraping and a lot more.

The Complete Python Masterclass: Learn Python From Scratch 2018-02-08T17:51:16+00:00

Django Core | A Reference Guide to Core Django Concepts

2018-02-08T17:51:06+00:00
Django Core | A Reference Guide to Core Django Concepts

Django Core | A Reference Guide to Core Django Concepts

Justin Mitchel – Coding Entrepreneur & Teacher – 325,000+ Students

Django Core | A Reference Guide to Core Django Concepts: Dive in deep to the core concepts behind the power Django framework written in Python. Using Django 1.10 with Python 3

Django Core | A Reference Guide to Core Django Concepts 2018-02-08T17:51:06+00:00

Python is simple to learn. the amount of features in the language itself is modest, requiring comparatively very little investment of your time or effort to supply one’s 1st programs. Py-thon syntax is intended to be decipherable and easy. This simplicity makes Py-thon a perfect teaching language, and permits newcomers to select it up quickly. Developers pay longer brooding about the matter they’re attempting to resolve, and fewer time brooding about language complexities or deciphering code left by others.

Python is generally used and supported. Py-thon is each common and wide used, because the high rankings in surveys just like the Tiobe Index and therefore the sizable amount of GitHub comes exploitation Py-thon attest. Py-thon runs on each major software package and platform, and most minor ones too. several major libraries and API-powered services have Py-thon bindings or wrappers, permitting Py-thon to interface freely with those services or build direct use of these libraries. Py-thon might not be the quickest language, however what it lacks in speed, it makes up for in skillfulness.

Py-thon isn’t a “toy” language. even supposing scripting and automation cowl an oversized chunk of Py-thon’s use cases (more on it below), Py-thon is additionally wont to build strong, professional-quality computer code, each as standalone applications and as net services.

What is Py-thon used for?
The most basic use case for Py-thon is as a scripting and automation language. Py-thon isn’t simply a replacement for shell scripts or batch files, however is additionally wont to change interactions with net browsers or application GUIs or system provisioning and configuration in tools like Ansible and Salt. however scripting and automation represent solely the tip of the iceberg with Py-thon.

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Py-thon is employed for general application programming. each CLI and cross-platform user interface applications is created with Py-thon and deployed as self-contained executables. Py-thon doesn’t have the native ability to get a standalone binary from a script, however third-party packages like cx_Freeze or PyInstaller is wont to accomplish that.

Py-thon is employed for knowledge science and machine learning. refined knowledge analysis has become one among quickest moving areas of IT and one among Py-thon’s star use cases. The overwhelming majority of the libraries used for knowledge science or machine learning have Py-thon interfaces, creating the language the foremost common high-level command interface to for machine learning libraries and alternative numerical algorithms.

Py-thon is employed for net services and quiet Apis. Py-thon’s native libraries and third-party net frameworks offer quick and convenient ways in which to form everything from straightforward REST Apis during a few lines of code, to full-blown, data-driven sites. Py-thon’s latest versions have powerful support for asynchronous operations, permitting sites to handle up to tens of thousands of requests per second with the proper libraries.

Py-thon is employed for metaprogramming. In Py-thon, everything within the language is AN object, together with Py-thon modules and libraries themselves. this enables Py-thon to figure as a extremely economical code generator, creating it potential to put in writing applications that manipulate their own functions and have the type of extensibility that will be tough or not possible to tug off in alternative languages.

Py-thon is employed for glue code. Py-thon is commonly delineate as a “glue language,” which means it will permit disparate code (typically libraries with C language interfaces) to interoperate. Its use in knowledge science and machine learning is during this vein, however that’s only one incarnation of the final plan.

Also value noting area unit the kinds of tasks Py-thon isn’t well-suited for. Py-thon could be a application-oriented language, therefore it’s not appropriate for system-level programming—device drivers or OS kernels area unit straight out. It’s additionally not ideal for things that decision for cross-platform standalone binaries. you may build a standalone Py-thon app for Windows, Mac, and Linux, however not elegantly or just. Finally, Py-thon isn’t the most effective selection once speed is AN absolute priority in each side of the applying. For that you’re comfortable with C/C++ or another language of that caliber.

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99% OFF!