Learn Python in 3 Hours
- 2.5 hours on-demand video
- 1 downloadable resource
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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- Set up your own development environment on Windows to create Python applications
- Use special Python features to speed up list comprehensions and small functions
- Leverage the wide range of pre-made packages on PyPI
- Manage different projects with a myriad of dependencies
- Use classes and create objects with OOP using Python
- Use special Python techniques such as decorators and context managers
- Perform data science using scikit-learn, pandas, and matplotlib
In this video, using a package manager, we will retrieve and install new packages.
- Learn what is pip and where does it get its packages from
- Understand how to install or upgrade new packages with pip
- Explore how to install whl files
Python applications have conventional structures that increase productivity. In this video letís explore the same in depth.
- Understand how to structure an application
- Learn how to import external modules in a readable way
- Explore how init.py works and how to import deep modules
This video is all about using OOP correctly in Python. Everything is a class in Python.
- Understand what does properties, self and __init__ mean
- Explore Static methods, class methods, and inheritance
In this video, we will scrape blogs and medium posts with feedparser.
- Explore and understand what is feedparser and how we can install it
- Access common channel and article elements of a newsfeed
- Learn how to deal with missing elements in a newsfeed with the get function
- Prior programming experience is assumed
You are a programmer. You already know many languages, but Python isn't one of them. Today, you need to get up-to-speed with Python in a short period of time, but your search has so far come up with disconnected, unrelated tutorials or guides.
Learn Python in 3 hours is a fast-paced, action-packed course that maximizes your time; it's designed from the ground up to bring you from zero to hero in the shortest time. The course is based on many years of Python development experience in both large enterprises and nimble startups. In particular, the course's hands-on and practical approach comes from the author's experience in rapidly iterating and shipping products in a startup setting, where responsiveness and speed are key.
With Learn Python in 3 hours, you will be up-and-running with Python like you are with your other languages, proving your value and expertise to your team today, and building your CV and skillset for tomorrow.
About The Author
Colibri 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 like 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 all of them to better make sense of their 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 to 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 firsthand 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 to learn a lot about reinforcement learning and supervised learning topics 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.
- This course is for programmers at all experience levels who would like to transition into developing using Python.