Pythonic Python Part I: The Basics

Fast and fun python lectures for programmers, with tons of example code; plenty of exercises, and explained solutions.
6 reviews
TAUGHT BY
  • Marilyn is a well-regarded Python Trainer for the Industry, and a well-loved Python Instructor for UCSC-Extension in the Silicon Valley.  Her history shows her to be an accomplished software engineer as well, demonstrating a knack for finding simple solutions to complex problems, articulating clear explanations, and engendering cooperation.

    Dr. Davis earned her degree from UCSD in Theoretical Radio Astronomy.  In the course of that work, her interest shifted to Software Engineering.  She has worked with many different computer languages, and has made software for Computer-Aided Instruction, Astronomy, Statistics, Environmental Research, Operations Research, Email Service, and Electronic Democracy.  

    Marilyn was an early contributor to the Open Source movement, authoring eVote/Clerk, software for consensus-building and decision-making on the network.  Her PC Planetarium was sold by the Sierra Club Catalogue.  Her early work in editing radio astronomy data is still in use today.  Her program Basic Primer was a pioneering work in Computer-Aided Instruction and was published by IBM.

    Motivated by a love for teaching, she has taught Mathematics and Physics, as well as Software Engineering.  She taught C at UCSC-Extension for 14 years before she encountered Python.  Python has been her focus since her first sight of Python code.  She has been teaching and using Python since 2006.


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Pythonic Python Part I: The Basics

Fast and fun python lectures for programmers, with tons of example code; plenty of exercises, and explained solutions.
6 reviews

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COURSE DESCRIPTION

This is Pythonic Python - Part I of a complete Python course for programmers, in four parts.

The focus, besides learning Python, is learning Pythonic idioms so that your code is beautiful, easy to read and modify, and fast-running.

The Syllabus:

Part I - The Python Basics

Make yourself useful.

  • lab 01 Birds Eye View
  • lab 02 Branching and Looping
  • lab 03 Input and Exceptions
  • lab 04 Formatting Strings
  • lab 05 Functions
  • lab 06 import
  • lab 07 Attribute Scope
  • lab 08 Flexible Functions
  • lab 09 Sequence Slicing
  • lab 10 Sequence Accumulating
  • lab 11 Sequence Differences
  • lab 12 list Facilities
  • lab 13 Sequences And Mutability
  • lab 14 sys Library

Part II  The Buzz

Heavy-hitting, time-saving, fun facilities.

  • lab 15 Reuse Trick
  • lab 16 list Scope Issue
  • lab 17 Arguments And Mutability
  • lab 18 list Comprehensions
  • lab 19 Functional Programming
  • lab 20 from importing
  • lab 21 Dictionaries
  • lab 22 Dictionary Marvels
  • lab 23 Variable Arguments Protocols
  • lab 24 raise An Exception
  • lab 25 File IO
  • lab 26 os Module
  • lab 27 Packages
  • lab 28 Dynamic Code
  • lab 29 Decorators
  • lab 30 Generators

Part III Pythonic OOP

So brilliant, you might need shades.

  • lab 31 Object Oriented Programming
  • lab 32 Inheritance
  • lab 33 Multiple Inheritance
  • lab 34 Magical Powers
  • lab 35 Privacy And Introspection
  • lab 36 Class Attributes and Scope
  • lab 37 New Style Classes
  • lab 38 Iteration Support
  • lab 39 Attribute Control
  • lab 40 Static and Class Methods
  • lab 41 Context Manager

Part IV  The Expert

Know it all.

  • lab 42 Deep Copies
  • lab 43 Piping With subprocess
  • lab 44 File Pattern globbing
  • lab 45 Timing Your Code
  • lab 46 unittest Frameworks
  • lab 47 Option Parsing Frameworks
  • lab 48 Catching Exceptions
  • lab 49 Raising Exceptions
  • lab 50 Inventing Exceptions
  • lab 51 Namespace Review
  • lab 52 Pitfalls
  • lab 53 Finding Modules

Take this ultimate Python for Beginners and learn Python basics; all you need to get started.

    • The Python 2 interpreter running on your computer, any operating system. The interpreter is available for free at http://python.org/download/.
    • A Python development environment. Perhaps your favorite environment can be made to be Python-aware. The "Idle" development environment comes into your computer when you bring in the Python interpreter. Use that if you don't already have a favorite environment.
    • Over 28 lectures and 3 hours of content!
    • A conscientous and talented student, upon completion of the entire Pythonic Python course will be an expert in the core of Python, and in Pythonic code, bringing maximum efficiency for programmer and program alike.
    • A student who needs less expertise for now, and who sees this material as a smogasboard of "too much", can learn as much of Python as suits.
    • From this Part I, a student will become familiar in a Python development environment, deal with stdio and error handling, branching, looping, and function protocols; and be ready to use any of the thousands of Python 2 libraries.
    • Software programmers who already know at least one programming language.

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CURRICULUM

  • 1
    Welcome
    03:27
    Welcome!  And suggestions for making the best use of this course.  
    The Supplementary Material here is the pdf for all 14 labs, and all the code.
  • SECTION 1:
    Birds Eye View
  • 2
    Lab 1 Lecture
    13:00
    A bird's eye view of code to see the structure, the memory model, and get started in your environment.
  • 3
    Lab 1 Solutions
    02:46
  • SECTION 2:
    Branching and Looping
  • 4
    Lab 2 Lecture
    10:48
    Flow-of-control syntax in Python.
  • 5
    Lab 2 Solutions
    06:58
  • SECTION 3:
    Input and Exceptions
  • 6
    Lab 3 Lecture
    09:25
    Work with your user and deal with errors the user makes.
  • 7
    Lab 3 Solutions
    05:27
  • SECTION 4:
    Formatting Strings
  • 8
    Lab 4 Lecture
    20:13
    Replacement into string via the % operator -- Python style, and a discussion of the integer-division-issue.


  • 9
    Lab 4 Solutions
    00:56
  • SECTION 5:
    Functions
  • 10
    Lab 5 Lecture
    08:53
    First look at function protocols. 
  • 11
    Lab 5 Solutions
    11:25
  • SECTION 6:
    Imports
  • 12
    Lab 6 Lecture
    04:55
    Use any of the thousands of libraries and packages available for Python, and start loving introspection.
  • 13
    Lab 6 Solutions
    09:20
  • SECTION 7:
    Attribute Scope
  • 14
    Lab 7 Lecture
    04:47
    Surprising generosity of scoping for global identifiers.
  • 15
    Lab 7 Solutions
    00:38
  • SECTION 8:
    Flexible Functions
  • 16
    Lab 8 Lecture
    02:09
    Get more flexibility with default and keyword arguments.
  • 17
    Lab 8 Solution
    04:06
  • SECTION 9:
    Sequence Slicing
  • 18
    Lab 9 Lecture
    10:23
    Fun facility for extracting pieces of a sequence.  Note that there is an experiential exercise that doesn't not need a solution here.
  • SECTION 10:
    Sequence Accumulating
  • 19
    Lab 10 Lecture
    06:48
    += on sequences, a very useful technique.
  • 20
    Lab 10 Solutions
    01:21
  • SECTION 11:
    Sequence Differences
  • 21
    Lab 11 Lecture
    09:26
    Why three sequence types? String manipulation.
  • 22
    Lab 11 Solutions
    02:33
  • SECTION 12:
    List Facilities
  • 23
    Lab 12 Lecture
    09:21
    The list: a powerful data-handler.
  • 24
    Lab 12 Solutions
    06:31
  • SECTION 13:
    Sequences and Mutability
  • 25
    Lab 13 Lecture
    07:46
    A deeper understanding of mutability.

    The exercises are experiential, so there is no video for the solutions.

  • SECTION 14:
    SYS Library
  • 26
    Lab 14 Lecture
    03:34
    Reading the command line, and direct access to stdout, stderr, and stdin.
  • 27
    Lab 14 Solutions
    03:39
  • SECTION 15:
    Wrap Up: Pythonic Python Part I: The Basics
  • 28
    Part I Wrap Up
    02:05
    Thank you for being with me.  I hope you had fun learning the basic facilities and I look forward to seeing you in Part I: The Buzz.

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REVIEWS

  • Nikhila
    sharp relevant and helpful

    It is very practical and to the point. Thank you marilyn!

  • Neha Malviya
    Awesome teaching style and content

    I love the way she teach. It was a very nice course, intelligently woven around problem to explain the concepts which makes it more interesting.

  • Jorge Tanimoto
    Wow!

    I love her teaching style.

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