Join Michele Vallisneri for an in-depth discussion in this video Using the exercise files, part of Python: Programming Efficiently.
- [Instructor] The Exercise Files for this course are organized in folders by chapter, and within each chapter by video if a video needs files. A few are data files that we will use or analyze, but most are Jupyter Notebooks. Throughout this course, we will use the Jupyter Notebook application, which we'll install later as our programming environment. To open the notebooks, you first need to open the Jupyter Notebook application from the shell by typing jupyter notebook.
Then you can navigate through the file system to the location of the Exercise Files and open them by selecting them. For each video, there are two notebooks labeled begin and end. The former is where we start at the beginning of the video. The latter will contain all the work that we've done by the end of the video.
- Designing efficient loops
- Exploiting Python collections
- Writing Pythonic code
- Choosing the best libraries for your tasks
- Downloading webpages with requests
- Parsing HTML with Beautiful Soup
- Manipulating images with Pillow
- Making videos and drawing on maps with matplotlib
- Serving webpages with Jinja2 and Flask
- Working with Python classes
- Taking advantage of functional techniques
- Profiling CPU and memory use
- Exploiting parallelism
Skill Level Intermediate
1. Installation and Setup
Jupyter notebooks3m 19s
2. Writing Python Efficiently
3. Exploiting Python Libraries
4. Advanced: Python Object-Oriented and Functional Programming
5. Introduction to Performance Optimization in Python
Next steps1m 2s
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