(Retired) Python - eLearning Bundle Course

This is a lecture only eLearning course. If you wish to practice with hands-on activities, you must provide the software and environment.

Learn Python in 3 Hours - 2 hrs 36 minutes

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.

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
 

Introduction to Python - 8 hrs 49 min

Python is developed under an OSI-approved open source license, making it freely usable and distributable, even for commercial use. Python is a general-purpose programming language. Created nearly 30 years ago, it is now one of the most popular languages out there to use. Its popularity is particularly important in the data science and machine learning fields. But it is also a language that is easy to learn, and that’s why it has become the language most taught in universities.

Python interpreters are available for the main operating systems as well (Linux, Mac OS, Windows, Android, iOS, BSD, etc.) so it’s very flexible in where it is used. Python has a simple syntax that makes it suitable for learning to program as a first language. The learning curve is smoother than other languages such as Java, which quickly requires learning about Object Oriented Programming or C/C++ that require understanding pointers. Still, it's possible to learn about OOP or functional programming in Python when the time comes.

 

Python for Everyday Life - 14 hrs 22 minutes

Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.

This course is about leveraging the Python programming language and its thriving ecosystem to save yourself time and money when doing common routine tasks. Nobody wants to do boring and time-consuming tasks: days have 24 hours and you should squeeze out the most of this time for yourself - automating the boring tasks gives you back time to focus on what you really like to do. Moreover, this is also the chance for you to learn a great general-purpose language such as Python, with which you can build very cool applications both at work and in your spare time.

The course is structured as an incremental learning path: you will start with a deep-dive into Python software development basics, then move on to write scripts to automate file system operations and file contents processing on your local host, then you will learn how to interact with web-based services such as websites and APIs in order to robotize the cool things that we do everyday - such as tweeting, posting to social networks, and reading RSS feeds. Moreover, you will practice how to set up a web-based services yourself in the form of web applications and in the end you will learn how to analyze and visualize datasets in order to extract knowledge.

By the end of this course, you will have learned how to proficiently write structured Python code in a wide range of applications - from one-liner scripts to complex web applications - aiming at the automation of lots of common everyday life tasks.

Automate the execution of lots of common everyday life tasks using Python
Write Python code proficiently in a structured fashion
Identify the boundaries of a coding problem and spot the best libraries to solve it
Design and Implement a wide range of applications from simple stand-alone one-liner scripts to complex web applications depending on external services
Manipulate efficiently and visualize data as a way to make informed decisions