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

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Unlock exclusive learning opportunities with the Pythonic Python Part I: The Basics – Marilyn Davis course at esys[GB]. Explore expert insights, advanced techniques, and practical applications from world-renowned instructors in your chosen field. Empower your growth and career with our curated collection of over 70,000 courses from top authors such as John Overdurf, Conor Harris, Tony Robbins, Dr. Joe Dispenza, and more.

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.

Course Curriculum

Welcome

  • Welcome

Birds Eye View

  • Lab 1 Lecture (13:03)
  • Lab 1 Solutions (2:47)

Branching and Looping

  • Lab 2 Lecture (10:50)
  • Lab 2 Solutions (7:00)

Input and Exceptions

  • Lab 3 Lecture (9:27)
  • Lab 3 Solutions (5:29)

Formatting Strings

  • Lab 4 Lecture (20:15)
  • Lab 4 Solutions (0:57)

Functions

  • Lab 5 Lecture (8:55)
  • Lab 5 Solutions (11:27)

Imports

  • Lab 6 Lecture (4:57)
  • Lab 6 Solutions (9:22)

Attribute Scope

  • Lab 7 Lecture (4:49)
  • Lab 7 Solutions (0:38)

Flexible Functions

  • Lab 8 Lecture (2:10)
  • Lab 8 Solution (4:08)

Sequence Slicing

  • Lab 9 Lecture (10:26)

Sequence Accumulating

  • Lab 10 Lecture (6:50)
  • Lab 10 Solutions (1:22)

Sequence Differences

  • Lab 11 Lecture (9:28)
  • Lab 11 Solutions (2:34)

List Facilities

  • Lab 12 Lecture (9:23)
  • Lab 12 Solutions (6:33)

Sequences and Mutability

  • Lab 13 Lecture (7:48)

SYS Library

  • Lab 14 Lecture (3:35)
  • Lab 14 Solutions (3:40)

Wrap Up: Pythonic Python Part I: The Basics

  • Part I Wrap Up (2:06)

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