Programming For Python Users

Simpliv Learning

  • Ratings
  • 4.0
  •  Last updated 3 years ago

AED 147

AED 735

Duration: 11 to 12 Hours
Location: United Arab Emirates
Delivery: Online course

As a Python user, have you felt the need to use the programming features of this powerful language? You definitely would want to do more than just using Python commands and use its code to make your work easy. If this is the case, this Learning Path is for you.

It’s no NEWS that Python is the market-standard tool for data science. However, it’s worth mentioning that Python has made a huge impact in the programming world. Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. 

Python: Programming for Python Users is Packt’s Video Learning Path which is a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. 

This Learning Path first introduces the Unity engine. It shows how to use the interface and how to build levels, and culminates in the creation of a simple game. The core features and fundamentals are explored in a fun and practical way, encouraging the development of real-world projects while establishing a solid understanding of game development principles. 

This Learning Path starts with the essentials of Python programming. This will touch upon all the necessary Python concepts related to data structures, OOP, functional programming, as well as statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively use the advantages that it offers. 

Then, you’ll be introduced to the world of parallel computing. Explore the thread-based parallelism model using the Python threading module by synchronizing threads and using locks, mutex, semaphores queues, GIL, and the thread pool. Moving on, you’ll get to grips with the asynchronous parallel programming model using the Python asyncio module, and will see how to handle exceptions. You will discover distributed computing with Python, and learn how to install a broker, use Celery Python Module, and create a worker. 

The course focuses on building 4 fun projects from scratch with easy-to-understand explanations and practical applications. You’ll learn how to create a well-designed architecture and increase the performance of the current applications. You will learn how to build enterprise-ready applications with the Python language. 

The goal of this course is to make you proficient at Python programming, able to make projects from scratch. 

About the Authors: 

This Learning Path is authored by some of the best in the field. 

Steven F. Lott has been programming since the 70s when computers were large, expensive, and rare. As a contract software developer and architect, he has worked on hundreds of projects, from very small to very large. He's been using Python to solve business problems for over 10 years. 

Giancarlo Zaccone has more than 10 years of experience in managing research projects, both in the scientific and industrial domains. He worked as a researcher at the National Research Council of Italy (CNR), where he was involved in a few parallel numerical computing and scientific visualization projects. 

Burkhard A. Meier has more than 15 years of professional experience working in the software industry as a software tester and developer, specializing in software test automation development, execution, and analysis.

Basic knowledge
Basic understanding of Python is essential


What will you learn
See the intricate details of the Python syntax and how to use it to your advantage
Get acquainted with advanced programming techniques in Python
Integrate application software using Python
Synchronize multiple threads and processes to manage parallel tasks
Implement message-passing communication between processes to build parallel applications
Apply parallel programming techniques that can lead to performance improvements
Send HTML formatted emails
Automate your tasks by using scheduling mechanisms


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