Python 1100: Python for Beginners

Python 1100: Python for Beginners, available at $19.99, with 66 lectures, and has 32 subscribers.

You will learn about Tackle managing information in Python's "global directory" Discover and use common & core packages Create programs to collect, sort & process data Understand how to create "First Class Functions" Use Modern Python to document and test your creations Learn how to use Lambdas Practice using the definitive set of pythonic collections Practice using unary, binary and ternary expressions Use the most common, 'critical path' set of built-in functions Enjoy mastering slicing, enumeration & iteration activities Understand how to use "Comprehensions" "Lock In" Success Using Regression Testing Techniques Enhance your DevOps missions by inspecting time-stamped reports & files Master seldom-taught, cross-platform concepts in DevOps Demos Updated to include the new keyword concepts of Python 10! This course is ideal for individuals who are Software developers looking to use Python 3.6 or greater or Pythoneers who need to QUICKLY review what they have learned or Python students looking for additional practice activities or Professionals needing to start using Python's cross-platform power … after a single day! It is particularly useful for Software developers looking to use Python 3.6 or greater or Pythoneers who need to QUICKLY review what they have learned or Python students looking for additional practice activities or Professionals needing to start using Python's cross-platform power … after a single day!.

Enroll now: Python 1100: Python for Beginners

Summary

Title: Python 1100: Python for Beginners

Price: $19.99

Number of Lectures: 66

Number of Published Lectures: 66

Number of Curriculum Items: 66

Number of Published Curriculum Objects: 66

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Tackle managing information in Python's "global directory"
Discover and use common & core packages
Create programs to collect, sort & process data
Understand how to create "First Class Functions"
Use Modern Python to document and test your creations
Learn how to use Lambdas
Practice using the definitive set of pythonic collections
Practice using unary, binary and ternary expressions
Use the most common, 'critical path' set of built-in functions
Enjoy mastering slicing, enumeration & iteration activities
Understand how to use "Comprehensions"
"Lock In" Success Using Regression Testing Techniques
Enhance your DevOps missions by inspecting time-stamped reports & files
Master seldom-taught, cross-platform concepts in DevOps Demos
Updated to include the new keyword concepts of Python 10!

Who Should Attend

Software developers looking to use Python 3.6 or greater
Pythoneers who need to QUICKLY review what they have learned
Python students looking for additional practice activities
Professionals needing to start using Python's cross-platform power … after a single day!

Target Audiences

Software developers looking to use Python 3.6 or greater
Pythoneers who need to QUICKLY review what they have learned
Python students looking for additional practice activities
Professionals needing to start using Python's cross-platform power … after a single day!

The mission of Python-1100is to provide you with a fasterway to start enjoying the many benefits of using the Python programming language. From using Python’s core modules, collections, objects, and built-in functions in this lesson plan you will master concepts such as lambdas, sorting, enumerations, slicing, f-strings, comprehensions, reporting, and testing. If you are a DevOps professional learning how to use the techniques described in this training – also known as functional Python – this is all you might need to know.

In as much as the Python standard is presently changing several times a year, the next mission of this Python 1100 course is to provide students with an on-line resource dedicated to keeping track of the latest programming features. Updates will be free!

In keeping with that second mission, this educational opportunity covers Python’s many recently added features & updates up to and including Python’s new “walrus operator” as well as the “match case” keyword set.

By creating first class functions, command-lines, regression tests, as well as enjoying many new cross-platform DevOps Demonstrations, in Python 1100 students will learn how to get the most out of modern Python as rapidly, as well as responsibly, as possible.

After completing Python 1100, you will enjoy practicing what they have learned by completing our Python Missions training. Pythoneers will enjoy either Python 1500 and / or Python 1501.

In addition to completing the Python 1500 and 1501 Missions, if you are interested in entering the professional world you will want to fine-tune your career by completing our Python 2000 – 9000 educational opportunities as time, interest, certification and / or occupational opportunities require.

p.s. If you have never programmed before then you should consider enrolling in Python 1000: The Python Primer as well.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Orientation & Review

Lecture 3: The R.E.P.L Lab

Lecture 4: A R.E.P.L Solution

Lecture 5: DevOps Demo – The Operating System Commons

Chapter 2: Review Sessions

Lecture 1: Review – Code, Functions & Blocks

Lecture 2: Review – Common 'Ops

Lecture 3: DevOps Demo – Python's Pathing Default

Chapter 3: Critical-Path Concepts

Lecture 1: Tuples

Lecture 2: Ranged Iterations

Lecture 3: Pythonic Enumerations

Lecture 4: Enumeration Solution

Lecture 5: Ternary Expressions

Lecture 6: Ternary Expressions, Part 2

Lecture 7: DevOps Demo – Environment Variables

Chapter 4: Documentation & Testing Basics

Lecture 1: First Class Functions

Lecture 2: Testing Your Code

Lecture 3: Testing Lab

Lecture 4: Testing Solution

Lecture 5: DevOps Demo – Where's Python?

Chapter 5: Managing Input, Errors, & Exceptions

Lecture 1: Boolean Blocks

Lecture 2: Integral Conversions

Lecture 3: While & Exception Blocks

Lecture 4: More Exceptional Keywords

Lecture 5: Unique Exception Opportunities

Lecture 6: DevOps Demo – Finding Python Versions

Chapter 6: Pythonic File Management

Lecture 1: Intercepting File & Data Exceptions

Lecture 2: Automatic File Closures

Lecture 3: File Detections

Lecture 4: Creation / Reading Flip-Flop

Lecture 5: File Creation, Reading & Deletion Solution

Lecture 6: DevOps Demo – Exceptional Folder Scans

Chapter 7: More String Classics

Lecture 1: Defining & Using String

Lecture 2: Classic % String Formatting

Lecture 3: Evaluating Representational Types

Lecture 4: Hexadecimal Practice

Lecture 5: Hexadecimal Solution

Lecture 6: DevOps Demo: Cross-Platform 'Hexa Ventures'

Chapter 8: String Members & Functions

Lecture 1: Using "".format(…)

Lecture 2: Using F-Strings …

Lecture 3: F-String Activities

Lecture 4: Using String's Justification … and more!

Lecture 5: More String Members

Chapter 9: Numerical Types & Functions

Lecture 1: Section Overview: What's in a "dot"?

Lecture 2: Member Function Alert!

Lecture 3: Common Operator Usages

Lecture 4: Classic int()

Lecture 5: Classic float()

Lecture 6: Classic bool()

Lecture 7: Expanded Boolean Associations

Chapter 10: Classic List

Lecture 1: List's Public 'Ops

Lecture 2: List 'Ops Solution

Lecture 3: List Banner Update

Lecture 4: List Practice Activities

Lecture 5: List Challengers

Lecture 6: The DevOps Report Solution

Chapter 11: Classic Dictionaries

Lecture 1: Classic Dictionary Members, Features & Functions

Lecture 2: PEP-8 Banner Upgrade

Lecture 3: Dictionary Practice

Lecture 4: Dictionary Practice, Continued

Lecture 5: Dictionary Practice, Continued

Lecture 6: Dictionary DevOps … Surprise!

Chapter 12: Set … Theories?

Lecture 1: Common Members

Lecture 2: Basic Set 'Ops

Lecture 3: Spelunking Set Operations

Chapter 13: Source Code

Lecture 1: Source Code … Meta

Instructors

Randall Nagy
Software Engineer & Educator

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