Stone River eLearning – Python Libraries Bundle

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Stone River eLearning – Python Libraries Bundle download, Stone River eLearning – Python Libraries Bundle review, Stone River eLearning – Python Libraries Bundle free

Stone River eLearning – Python Libraries Bundle

Python Libraries Bundle
Learn five popular Python libraries

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.

Course Curriculum

• Introduction
  Course Introduction (1:39)
• Scrapy
  Module Introduction (1:36)
  Scrapy Introduction (7:42)
  Text Extraction (10:25)
  Scrapy Execution (4:27)
  Scraping with CSS (9:42)
  Another XPath Scrape (8:11)
  Project Instructions (5:03)
  Project Solution (5:35)
  Module Summary (0:39)
• Scipy
  Module Introduction (1:37)
  Basic Computations (7:56)
  Complex functions (8:23)
  Integrals (11:07)
  Double Integrals (3:13)
  Statistics (10:06)
  Project (Linear Algebra) (8:59)
  Module Summary (1:06)
• NumPy
  Module Introduction (1:13)
  What is Numpy (3:12)
  Basic Mathematics (6:23)
  Tour of Numpy I (8:02)
  Tour of Numpy II (10:17)
  Matrices (6:56)
  Deviations (3:18)
  Eigen Valuesmp4 (5:18)
  Covariance (9:55)
  Project (Determinants) (9:33)
  Module Summary (1:03)
• iPython
  Module Introduction (1:05)
  iPython Basics I (7:46)
  iPython Basics II (9:42)
  iPython Basics III (5:44)
  Airplane Factory I (9:57)
  Airplane Factory II (9:52)
  Graphics I (8:10)
  Graphics II (5:23)
  Project I (11:35)
  Project II (5:11)
  Module Summary (0:42)

Frequently Asked Questions:

1. Innovative Business Model:
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2. The Legal Landscape: Yes and No:
   • The legality of our operations falls into a gray area. While we lack explicit approval from the course authors for resale, there’s a technicality at play. When procuring the course, the author didn’t specify any restrictions on resale. This legal nuance presents both an opportunity for us and a boon for those seeking budget-friendly access.
3. Quality Assurance: Unveiling the Real Deal:
   • Delving into the heart of the matter – quality. Acquiring the course directly from the sale page ensures that all documents and materials are identical to those obtained through conventional means. However, our differentiator lies in going beyond personal study; we take an extra step by reselling. It’s important to note that we are not the official course providers, meaning certain premium services aren’t included in our package:
     • No coaching calls or scheduled sessions with the author.
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     • No entry to the author’s exclusive membership forum.
     • No direct email support from the author or their team.

   We operate independently, aiming to bridge the affordability gap without the additional services offered by official course channels. Your understanding of our unique approach is greatly appreciated.

Refund is acceptable:

• Firstly, item is not as explained
• Secondly, Item do not work the way it should.
• Thirdly, and most importantly, support extension can not be used.

Thank you for choosing us! We’re so happy that you feel comfortable enough with us to forward your business here.