| 01 Create Your Own Crawlers with Scrapy.mp4 | 21 MB | ||
| 01 Downloading pip So That You Can Install New Packages.mp4 | 16.8 MB | ||
| 01 Generate a Static Website with Markdown and Pelican.mp4 | 14.3 MB | ||
| 01 Handle Your Big Datasets with NumPy and pandas.mp4 | 18.9 MB | ||
| 01 Object-Oriented Programming, the Pythonic Way.mp4 | 14.7 MB | ||
| 01 The Course Overview.mp4 | 5.3 MB | ||
| 02 Customizing Your Static Website with Jinja2 Templates.mp4 | 15.8 MB | ||
| 02 Go Through News Articles with newspaper3k.mp4 | 32.9 MB | ||
| 02 Help Your Functions Do More Using Decorators.mp4 | 15.2 MB | ||
| 02 Introducing Your One-Stop-Shop Python IDE – WinPython.mp4 | 16 MB | ||
| 02 Make Python Smarter with Machine Learning Using scikit-learn.mp4 | 26.5 MB | ||
| 02 Structuring Your Python Application with Classes and Modules.mp4 | 14.9 MB | ||
| 03 Deploying Your First Web Server with Flask.mp4 | 15.1 MB | ||
| 03 Digest RSS Feeds Using Feedparser.mp4 | 33.5 MB | ||
| 03 Installing and Using pipenv to Manage Your Projects.mp4 | 19 MB | ||
| 03 Visualizing Data in Charts and Graphs with matplotlib.mp4 | 22.3 MB | ||
| 03 Wrap Up All Dynamic Resources with Context Managers.mp4 | 13.8 MB | ||
| 03 Writing Your First Hello World! Program in Python.mp4 | 9.3 MB | ||
| 04 Using Functions, Lambdas, and List Comprehensions.mp4 | 17.8 MB | ||
| Pipfile | 204.8 B | ||
| Pipfile.lock | 1.4 KB | ||
| __init__.cpython-36.pyc | 102.4 B | ||
| __init__.py | 204.8 B | ||
| aboutme.png | 716.8 B | ||
| app.py | 307.2 B | ||
| archives.html | 307.2 B | ||
| article.html | 204.8 B | ||
| authors.html | 307.2 B | ||
| base.html | 204.8 B | ||
| bitbucket.png | 3.6 KB | ||
| categories.html | 204.8 B | ||
| context_managers.py | 614.4 B | ||
| decorators.py | 716.8 B | ||
| delicious.png | 921.6 B | ||
| facebook.png | 204.8 B | ||
| first_post.md | 102.4 B | ||
| functions_list_comprehensions.py | 614.4 B | ||
| general.html | 409.6 B | ||
| github.png | 1.7 KB | ||
| gitorious.png | 204.8 B | ||
| gittip.png | 512 B | ||
| google-groups.png | 819.2 B | ||
| google-plus.png | 512 B | ||
| hackernews.png | 3.2 KB | ||
| hello_world.py | 0 B | ||
| index.html | 409.6 B | ||
| items.py | 307.2 B | ||
| lastfm.png | 1 KB | ||
| linkedin.png | 921.6 B | ||
| main.css | 10.8 KB | ||
| middlewares.py | 1.9 KB | ||
| my-first-post.html | 307.2 B | ||
| oop.py | 716.8 B | ||
| pelicanconf.py | 819.2 B | ||
| pipelines.py | 307.2 B | ||
| publishconf.py | 512 B | ||
| pygment.css | 1.8 KB | ||
| quotes-1.html | 10.8 KB | ||
| quotes-2.html | 13.4 KB | ||
| reddit.png | 716.8 B | ||
| reset.css | 1.1 KB | ||
| rss.png | 921.6 B | ||
| rudy.html | 409.6 B | ||
| sample_folder_structure.txt | 204.8 B | ||
| sample_spider.cpython-36.pyc | 716.8 B | ||
| sample_spider.py | 409.6 B | ||
| scrapy.cfg | 307.2 B | ||
| settings.cpython-36.pyc | 204.8 B | ||
| settings.py | 3.1 KB | ||
| slideshare.png | 512 B | ||
| speakerdeck.png | 1 KB | ||
| stackoverflow.png | 921.6 B | ||
| tags.html | 204.8 B | ||
| twitter.png | 1.5 KB | ||
| typogrify.css | 204.8 B | ||
| vimeo.png | 512 B | ||
| wide.css | 614.4 B | ||
| youtube.png | 409.6 B | ||
| ▲ 90 total files | |||
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.
Learn Python in 3 Hours
https://tutorialpace.com/Learn-Python-3-Hours
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