Learn Python in 3 Hours

Learn Python in 3 Hours

English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 2h 36m | 343 MB

App development, data science, automation, web scraping or computer vision—Make the switch to Python quickly

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.

The course is full of hands-on instructions, interesting and illustrative visualizations, and clear explanations from an entrepreneur building his product in pure Python. It is packed with useful tips and relevant advice learned from shipping real, commercial products. Throughout the course, we maintain a focus on practicality and getting things done, not fancy programming concepts and theory.

What You Will Learn

  • 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