Python Tips, Tricks and Techniques [Video]

More Information
  • Master lists and list comprehension to write less clunky for loops.
  • Learn to use dictionaries in a smarter way to keep track of your application's state.
  • Save time writing custom subclasses by learning new data structures built right into Python.
  • Use functional programming concepts in Python to make your code more compact
  • Smartly organize your code and make it more readable with OOP
  • Evolve into a seasoned Python developer with top Pythonic tips

You have been programming in Python for a while now. You know that Python is easy to get started with, but hard to get right. You want to write Pythonic code to make an impact in both the open source arena and your career.

This course is will take you from a Python outsider to an insider. You will benefit from insights from the Python documentation, PEPs, and online developer communities to learn the ultimate Pythonic ways to tackle common programming patterns. This course covers tips, tricks, and techniques for loops, data structures, object-oriented programming, functions, and more, helping you work on ordered collections and key-value stores for dictionaries. You will be able to increase the speed and performance of your code while making it easier to debug. Start writing cleaner code for your applications and learn to organize it better in just 3 hours.

No other course can transform every corner of your Python code. Take this course NOW and become an overnight Python rockstar developer.

All the code and supporting files are available on GitHub at -

Style and Approach

The course is full of hands-on instructions, interesting and illustrative visualizations, and clear explanations. It is packed full of useful tips and relevant advice which can be applied to real, commercial products. Throughout the course, we maintain a focus on practicality and getting things done, not fancy programming concepts and theory.

  • Take your programming skills to the next level in crucial areas of programming such as looping, data structures, and OOP. We show you 30 unique Python techniques containing hidden gems in Python PEPs, the standard library, and documentation.
  • Go from Python user to Python expert by learning tips and tricks gathered from StackOverflow, developer forums, and the Python source code.
  • Following a problem-solution format, each video makes it easy to understand tried and tested solutions to solve common problems, using unique Python tricks.
Course Length 2 hours 38 minutes
ISBN 9781789138535
Date Of Publication 24 Jul 2018


Rudy Lai

Colibri Digital is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and Cloud computing.

Over the past few years, they have worked with some of the World's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the World's most popular soft drinks companies, helping each of them to better make sense of its data, and process it in more intelligent ways.
The company lives by its motto: Data -> Intelligence -> Action.

Rudy Lai is the founder of QuantCopy, a sales acceleration startup using AI to write sales emails for prospects. By taking in leads from your pipelines, QuantCopy researches them online and generates sales emails from that data. It also has a suite of email automation tools to schedule, send, and track email performance—key analytics that all feed back into how our AI generates content.

Prior to founding QuantCopy, Rudy ran HighDimension.IO, a machine learning consultancy, where he experienced first-hand the frustrations of outbound sales and prospecting. As a founding partner, he helped startups and enterprises with HighDimension.IO's Machine-Learning-as-a-Service, allowing them to scale up data expertise in the blink of an eye.

In the first part of his career, Rudy spent 5+ years in quantitative trading at leading investment banks such as Morgan Stanley. This valuable experience allowed him to witness the power of data, but also the pitfalls of automation using data science and machine learning. Quantitative trading was also a great platform from which you can learn about reinforcement learning and supervised learning topics in depth and in a commercial setting.

Rudy holds a Computer Science degree from Imperial College London, where he was part of the Dean's List, and received awards such as the Deutsche Bank Artificial Intelligence prize.