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Packt Publishing – Python Design Patterns

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Packt Publishing – Python Design Patterns
English | Size: 445.46 MB
Category: Tutorial


Design patterns to improve the speed, code reuse, and performance of your Python applications

The user-friendly video has a practical approach. Every pattern discussed is followed by an important example.

A knowledge of design patterns enables developers to improve their codebase, promotes code reuse, and makes the architecture more robust. This course focuses on showing you the practical aspects of smarter coding in Python.
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Packt Publishing – Python 3.x for Computer Vision

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Packt Publishing – Python 3.x for Computer Vision
English | Size: 311.18 MB
Category: Tutorial


Unleash the power of computer vision with Python to carry out image processing and computer vision techniques.

This video course is a practical guide for developers who want to get started with building computer vision applications using Python 3. The video is divided into six sections: [Read more…]

Packt Publishing – Mastering Python Data Analysis with Pandas

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Packt Publishing – Mastering Python Data Analysis with Pandas
English | Size: 266.89 MB
Category: Tutorial


Learn how to use Pandas, the Python library for data and statistical analysis
This friendly course takes you through different data Analysis practices in Pandas. It is packed with step-by-step instructions and working examples. This comprehensive course is divided into clear bite-size chunks so you can learn at your own pace and focus on the areas of most interest to you.
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Packt Publishing – Data Acquisition and Manipulation with Python

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Packt Publishing – Data Acquisition and Manipulation with Python
English | Size: 637.67 MB
Category: Tutorial


In-depth content balanced with tutorials that put theory into practice. This course will give you both the understanding and the practical experience that will allow you indulge in the art of data acquisition and manipulation using Python packages.
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Packt Publishing – Architectural Patterns and Best Practices with Python

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Packt Publishing – Architectural Patterns and Best Practices with Python
English | Size: 350.53 MB
Category: Tutorial


This video starts off by explaining how Python fits into an application architecture. As you move along, you will understand the architecturally significant demands and how to determine them. Later, you’ll get a complete understanding of the different architectural patterns such as event driven programming, microservice architecture and pipe and filter architecture. [Read more…]

PACKT – Mastering Python (Second Edition)

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PACKT – Mastering Python (Second Edition)
English | Size: 4.45 GB
Category: Tutorial


Python is one of the most powerful, flexible, and popular programming languages in the world. It comes with all new features in version 3.5. With Python, you can write code that is efficient, maintainable, and reusable.
In this second edition of the course, we cover the basics of operating in a Python development environment as well as the advanced topics. We present you with real-world solutions to Python 3.5 and advanced-level concepts such as reactive programming and microservices, introduce ctypes and Cython tools.
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Pluralsight – Getting Started with Data Analysis Using Python

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Pluralsight – Getting Started with Data Analysis Using Python
English | Size: 423.59 MB
Category: Tutorial


Data analysis is one of the fastest growing fields, and Python is one of the best tools to solve these problems. In this course, Getting Started with Data Analysis Using Python, you’ll learn how to use Python to collect, clean, analyze, and persist data. First, you’ll discover techniques including persisting data with csv files, pickle files, and databases, along with the ins and outs of basic SQL and Sqlite command line. Next, you’ll delve into data analysis and how to use common data structures, such as lists, dictionaries, tuples, and sets. Additionally, you’ll learn how to use these structures and apply these skills to widely available stock market data. Finally, you’ll explore pygal, a Python library for data visualization. When you’re finished with this course, you’ll have the necessary knowledge to efficiently build stunning charts and graphs utilizing data analysis in Python.
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Packt Publishing – Architectural Patterns and Best Practices with Python

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Packt Publishing – Architectural Patterns and Best Practices with Python
English | Size: 350.53 MB
Category: Tutorial


This video starts off by explaining how Python fits into an application architecture. As you move along, you will understand the architecturally significant demands and how to determine them. Later, you’ll get a complete understanding of the different architectural patterns such as event driven programming, microservice architecture and pipe and filter architecture.
[Read more…]

Pluralsight – Procedural Cities with Houdini and Python

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Pluralsight – Procedural Cities with Houdini and Python
English | Size: 1.4GB
Category: Tutorial


With expectations in VFX ever increasing, everything needs to be bigger, better, and faster than ever before. Huge environments are no exception to this trend. In this course, Procedural Cities with Houdini and Python, you will learn how to tackle the problem of generating vast CG cities, making use of Python and various Houdini techniques, while maintaining artist control every step of the way. First, you will be introduced to Python itself, and where and how it can be used in Houdini. Next, you will learn how to populate a city plan with buildings of various types, block by block, and how to automate this using Python.
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Pluralsight – Getting Started with the Python Standard Library

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Pluralsight – Getting Started with the Python Standard Library
English | Size: 294.99 MB
Category: Tutorial


The Python Standard Library is a set of modules, that are not part of the Python language but are distributed with it. In this course, Getting Started with the Python Standard Library, you’ll be provided solutions for common tasks in application development. First, you’ll look at powerful extensions to the Python language collections types as well as how to read and store data in different text formats. Next, you’ll move on to networking to access web services, email, and more. Finally, you’ll learn text processing using regular expressions, random data, and utilities to write command line applications. By the end of this course, you’ll have a better understanding of the Python Standard Library.
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