Python Libraries Bundle - Scrapy, SciPy, NumPy, IPython, BeautifulSoup
|BUY INDIVIDUALLY||BUY AS SUBSCRIPTION|
About Individual Course:
Now Only $10.00 Regular Price $49.00
Now Only $10.00 Regular Price $49.00/ Each
When you subscribe, you get:
Learn Subscription Plan gives you access to this course, PLUS:
Now Only $34.99 Regular Price $44.99
Now Only $34.99 Regular Price $44.99/ Month
Scraping data from webpages can be a tedious job. But it doesn’t have to be.With Scrapy, you can scrape using XPath or CSS. With the large number of examples from both techniques, you’re sure to find a solution that fits for you.Whether your targeting data on a single page or multiple, Scrapy can handle the job. No matter if the data is within a list, you can scrape specific patterns right out of the list. Building up your specific Scrapy job isn't a difficult task.Scrapy is a Python library. If you're familiar with Python, XPath or CSS, you'll feel right at home using Scrapy.
Computational computing can be a complex topic. How to perform various mathematical functions in code isn't straight forward. With Python's Scipy library, we'll walk through a number of examples showing exactly how to create and execute complex computational computing functions. The course starts with an explanation of what Scipy is. Then we see how to install it. From there, we get into simple mathematical computations and and move into more advanced computations. The last few lessons demonstrate the full capabilities of Scipy.Scipy is for those that need to perform rigorous, complex computations and not have the program bog down computing them. If you're ready to see how to create even the most complex mathematical functions in code, this course is for you.
At the end of this course, you will have a thorough understanding of Numpy' s features and when to use them. Numpy is mainly used in matrix computing. We'll do a number of examples specific to matrix computing, which will allow you to see the various scenarios in which Numpy is helpful. There are a few computational computing libraries available for Python. It's important to know when to choose one over the other. Through rigorous exercises, you'll experience where Numpy is powerful and develop and understanding of the scenarios in which Numpy is most useful.You'll also know how to install Numpy.
Coding Python from the command line isn't a fun experience when you begin getting into longer form code. The command line simply isn't designed for that. That's where iPython comes in. At the end of this course, you'll have a thorough understanding of iPython. I'm guessing it will even become your goto Python editor. You'll also know the differences between iPython and Jupyter. Through a number of examples with various scenarios, you'll develop an understanding of how iPython is an extremely efficient Python editor for long form code compared to the command line. You'll know how to enter in code, markdown for comments and rearrange/edit code as needed.
BeautifulSoup is a popular Python library for extracting data from HTML or live pages. It isn't limited to a single webpage. You can extract data from multiple webpages. In fact, one of the examples we use does just that. Knowing how to find data within the HTML tree is key to getting targeted data. This course will show you how to identify that data within the HTML tree. Then you'll build a parsing rule to extract it using BeautifulSoup. With a number of examples to ensure you know exactly how to find data, build parsing rules and the needed code to execute the extract, you'll walk away from this course feeling confident in your abilities to retrieve data from webpages.
Self-Paced Learning Outline
- Course Introduction
- Python Scrapy Scrape Web Data Using Python
- Python SciPy The Open Source Python Library
- Python NumPy Scientific Computing with Python
- Learn iPython The Full Python IDE
- Python BeautifulSoup Extract Web Data Beautifully
|Learning Style||Self-Paced Learning|
|Course Duration||5 Hours|
|VPA Discount||VPA Discount|
Frequently Asked Questions About Virtual Instructor-Led Courses
I can't connect to my class, what are my options?
The link to the class is available upon logging in to your dashboard. If you are unable to see it, please contact our support team at 1-855-800-8240 and they will be happy to provide you the direct link via email or the dial in number.
I can't make it to attend to class. Can I reschedule?
Yes, you can reschedule your class. Please contact your Sales representative and they will arrange this for you. If you forgot his/her name, feel free to contact our support team at firstname.lastname@example.org or 1-855-800-8240.
Will I get my certificate upon completion?
Yes. Upon completion of the course, it will be available on your course as a Trophy Icon for you to download. If you do not see this, you will need to contact email@example.com with the following details so they can email you the certificate: Class Name, Class Date, Account Rep, and Your Email.
I cannot connect to my lab. Help!
Your Lab is accessible on the bottom part of your course. You will see a button that says "LAB". Just click it to launch the lab. Please note that some classes don’t need/require a LAB. You can verify with our support team by calling them at 1-855-800-8240 or by email at firstname.lastname@example.org. You can also check with your Instructor or the Associate Instructor if your class includes one.
What is my access code for Skillpipe?
A. Not all of the classes have or require Skillpipe. If your class includes one, please check your email as you should have received one from email@example.com. In case you do not find it in your inbox, please check the Spam / Junk folder. For any further assistance, you can call the support at 1-855-800-8240 or contact them via email at firstname.lastname@example.org.
I don't have audio. I can't hear the instructor.
Make sure you are using a compatible headset for your laptop or computer. If you don’t have a headset, you can use the built-in speaker of your laptop. Otherwise, you can use the dial in option by calling the dial in number provided in the class joining email. You may also contact support team for the dial in numbers associated for your training at 1-855-800-8240 or contact them via email at email@example.com.
How can I reach student support?
Support can be reach via phone at 1855-800-8240; via email at firstname.lastname@example.org or via chat support through the chat button on our website. Please note that support office hours will be from 8am-5pm CST Monday to Friday. Any concerns after office hours will be attended the following business day.
Get A Team Quote or Got Questions?
- Personalize learning based on competencies, goals & tools
- Expert Mentoring
- Hands on Labs & Assignments
- AI Curated Digital Book Content
- Adaptive Learning Paths
- Analytics & Benchmarking
- High certification Pass Rates – Over 200,000 people certified and more than 95% of our learners pass their certification on the first attempt