Closures:

According to google a closure is an act or process of closing something, especially an institution, thoroughfare, or frontier, or of being closed

In python, A closure is an inner function that remembers and has access to variables of the local scope which was created, even after the outer function has finished executing.

hint: A closure closes over free variables from their environment.

Discussion Points:

• Use of regular expression in a closure

• A list of functions

• A list of patterns

• A file of patterns

Generators:

There is a lot of work in building an iterator in Python. We have to implement a class with iter() and next() method, keep track of internal states and raise StopIteration when there are no values to be returned.

This is both lengthy and counterintuitive. This is when generators dive in

Python generators are way of creating iterators

Discussion points:

• A Fibonacci Generator

• A Plural Rule Generator

Hint: We use generators over other loops for mainly two reasons:

• more performance

• Easy to read and write

I know you argue with list compressions that are also easy to write right?...YES but the good of generators is you can use them with list comprehension and get performance as a bonus too

Hi there,

Writing this with hope it finds you well and keeping safe during these unprecedented times of the COVID19 pandemic.

Regarding the subject:

I like to think that I am huge JavaScript fanatic. Frankly, I am one of those chaps who feel the urge to do everything in JS, even if I don't really have to 😂

To some good stuff, for the up-and-coming weeks, join us as we explore what it takes to #DiveIntoPython based on the book, "Dive Into Python, by Mark Pilgrim". FYI, the goal of this first event, is to discuss the general idea of the book, and extract some insights from the very first three (3) chapters.

All of that being said, I am very excited and can not wait to see you all. For your viewing pleasure, the event details following below.

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Event Details:

• When: 2020-05-24, 19:00 - 21:00 HRS EAT
• Who: Come one, come all.
• Where: Online

Discussion Points:

1. About the Book. Is it hot or not?
2. History and Chemistry. Is it a big snake?
3. What's New in Python 3? Briefly, why?
4. First Impressions. First-time good/bad/ugly impressions with Python?
5. Diving In. Coding our first Python program.
6. Everything is an Object. Everything.
7. Exceptions Whoops! Something went wrong.
8. Picks Tools, library, framework, people, podcasts, books, coffee e.t.c.

Important Links

• Link to diveintopython3 book

Do you think serializing data structures is simple? Please, think again!

Spoilers...

import pickle, json

# make serializing data, great again!

See source: https://diveintopython3.net/serializing.html

Review Questions

1. What can you Pickle?
2. The pickle module takes a Python data structure and saves it to a file. Discuss the caveats.
3. Not every Python data structure can be serialized by the pickle module. Discuss why.
4. Demonstrate saving data to a pickle file.
5. Demonstrate loading data from a pickle file
6. Demonstrate pickling without a file
7. Demonstrate how one can use pickletools to debug a pickle file
8. Demonstrate, data serialization for each python-specific datatypes to JSON

What is the difference between python lists and arrays?

I understand that we can treat lists as arrays, but, what happens when I create an array using the array module?

Refactoring:
Refactoring is the process of updating existing code while functionally remain the same. There are a variety of reasons for refactoring code including performance, readability, and future scalability.

Hint: Refactoring does not only get it done but get it done correctly.

Focus:
Refactoring in unit testing.

Regular expression or regex - we use them but don't love them! 😬 😆

According to Wikipedia, regular expressions are:

A sequence of characters that define a search pattern.

If Wikipedia is not enough you, check out grep.

Everyone knows grep. Its reputation precedes it. Maybe the most of us don't care for how it works, but we love it because, it just works.

With that said, the following is a deep-dive into Regular Expressions using Python. The aim of this issue is for us to better understand how grep works. Enjoy!

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Discussion Points

• Case Study: Street Addresses
• Case Study: Roman Numerals
• Using the {n,m} Syntax
• Case Study: Parsing Phone Numbers

Unit Testing is the first level of software testing where the smallest testable parts of a software are tested. This is used to validate that each unit of the software performs as designed. The unittest test framework is python's xUnit style framework.

Source: https://diveintopython3.net/unit-testing.html

Review Questions

1. What is Test-Driven Development (TDD)?
2. Why does Test-Driven Development matter?
3. What is Unit Testing?
4. Why does Unit Testing matter?
5. How does Test-Driven Development differ from Unit Testing?
6. Not every automated test is a unit test. Discuss.
7. What makes a unit test good or bad?
8. It is not enough to test for success. Discuss.
9. Apart from unittest, are there any other Pythonic unit testing libraries we can leverage?

Please write a summary of Classes & iterators in terms of questions

Philosophically, I can describe HTTP web services in 12 words: exchanging data with remote servers using nothing but the operations of HTTP. - Mark Pilgrim

Source: https://diveintopython3.net/http-web-services.html

Review Questions

1. In the words of the author, 304: Not Modified means *"same shit, different day." (a) Discuss what he means (b) Describe when the statement does not apply.

2. There are five (5) features that all HTTP clients should support. Briefly, help to describe.

3. Mark so boldly suggests that httplib2 is better than urllib. Expand based on guidelines below:

   1. Like urllib, httplib2 also returns bytes, not strings. Why?
   2. How does caching work on httplib2?
   3. How does httplib2 handle Last-Modified and ETag headers?
   4. How does httplib2 handle compression?
   5. How does httplib2 handle redirects?

External References

1. https://developer.mozilla.org/en-US/docs/Web/HTTP/Caching
2. https://web.dev/http-cache/
3. https://stackoverflow.com/questions/3586295/does-urllib2-urlopen-cache-stuff
4. https://www.mnot.net/cache_docs/
5. https://github.com/httplib2/httplib2/wiki/Examples-Python3

(Class notes soon to be updated)

Create some basic assets to get the ball rolling.

• Create banner images for social
• Create banner images (black_white color scheme) for social #TBT
• Create speaker starter kit

Create minimal projects/applications/CLI's for suggested chapters to be able to create a mark or point along the way for reference and measure of the learning path/journey.