Python 3 Fundamentals Week 1 - Introduction & Windows Command Prompt 課程筆記

Python 百日馬／全攻略／Fundamentals Python 3 Fundamentals
1

Introduction

This Course Covers…

  1. Introduction to Python
  2. Establishing the Fundamentals for Self-Learning
  3. Introduction to 3rd party Python libraries
    • Common libraries
    • Installation Methods
  4. Exploration of 3rd Party Python Libraries for…
    • Numerical Computation
    • Data Set Manipulation
    • charting

Course Overview

  • Installing and Running Python
  • Basic Principles
    • Numerical Type
      • int
      • float
      • boolean
    • Variables
    • Operator
      • Arithmetic Operators: +, -…
      • Logical Operators: <, >…
      • Boolean Operators: &&, ||, not…
  • Control Flow
    • Conditional Execution (e.g., if statement)
    • Iteration
      • Iterables
      • Iterators
      • Loops
    • Exception Handling
  • Advanced Data Types
    • Sequence Types
      • List
      • Tuples
      • Strings
    • Dictionaries and Sets
    • Dates and Times
    • Decimals
  • Functional Programming
    • Functions
    • Higher-order Functions
    • Closures
    • Decorators
  • Object-Oriented Programming
    • Custom Classes
    • Methods
    • Properties
  • Data Acquisition
    • CSV
    • Json
  • 3rd Party Libraries
    • pytz: Timezone & Daylight Saving
    • dateutil: Transfer date in CSV file (text format) into date object
    • requests: Query APIs
    • numpy: Numerical Analysis
    • pandas: Data Set Manipulation
    • matplotlib: Charting

Prerequisites

  • OS: Windows 10, macOS 10.9 or higher, Linux
  • Python version: Python 3.6+ (Recommend: 3.8/3.9 or higher)
  • Familiarity with Terminal (Mac/Linux) / Command Prompt (Windows)
    • Install and run Python
    • Open / terminate a shell
    • Change directory
    • List contents of a directory
    • Create a directory
  • No prior knowledge of Python required
  • No prior programming knowledge needed

Course Structure and Materials

  • Two parts for each topic
    • Lecture video
    • Coding video
  • Exercises for each section
  • Jupyter Notebooks & Resources

Windows Command Prompt (命令提示字元)

  • To open Command Prompt in Windows: Press the Windows key, type cmd, and press the Enter key.
  • Use the Tab key to complete folder/file names.
  • Use <command> /? to know how to use the specific command

Common Command Line Commands

CMD Commands Linux/Mac commands Description
dir ls -l Listing Directory
cd cd Change Directory
del rm Delete Files
mkdir mkdir Create a directory
move mv Move a file/Rename a file
cls clean Clear the screen
rmdir rmdir Remove an empty directory
type cat Displays the contents of a text file
copy cp Copy one or multiple files from one location to another
find grep Search for a string in a file
fc diff-19 File compare

Example

dir

C:\Users\user>dir

C:\Users\user>dir <FolderName>

C:\Users\user>dir <String>*  # list all files in the current directory that begin with <String>

cd

C:\Users\user>cd <FolderName>

C:\Users\user\Music>cd ..  # back to the parent directory

C:\Users\user>cd "<FolderName with Spaces>"  # double quotes for spaces in folder name

C:\Users\user>cd ../..   # back to the directory two levels above

C:\Users\user>cd <Absolute Path>

del

C:\Users\user>del <File>

mkdir

C:\Users\user>mkdir <New FolderName>

move

C:\Users\user>move <Files> <Destination>  # Move files

C:\Users\user>move <Old FileName> <New Filename>  # Rename files

cls

C:\Users\user>cls

rmdir

C:\Users\user>rmdir <FolderName>  # for an empty folder

C:\Users\user>rmdir /s <FolderName>  # for the folder with other files inside

C:\Users\user>rmdir /s /q <FolderName>  # delete folder without asking

type

D:\Python - Fundamentals\python-fundamentals-main>type README.md
# Python Fundamentals

This folder contains all the downloadable materials for my Udemy **Python Fundamentals** course, available here:

[https://www.udemy.com/course/python3-fundamentals](https://www.udemy.com/course/python3-fundamentals/?referralCode=DA09C6F40CEC38C942F6)

This folder is organized into the various sections of the course, and those themselves are organized by lesson within each chapter.


Resources include:

- Fully annotated Jupyter notebooks corresponding to the coding lessons.
- Any files we used during the coding lessons.
- Exercises for each chapter containing at least two files:
        - A Jupyter notebook with the questions.
        - A second Jupyter notebook with a fully annotated solution (you may have a different way of solving the problem and that's absolutely fine, as long as your code works, and is clear and easy to read).
        - if applicable, additional data files or materials needed to complete the exercises.


In the first chapter of this course I explain how to install and run Jupyter notebooks - please refer to that chapter if you need detailed instructions.

copy

D:\Python - Fundamentals>copy python-fundamentals.pdf test\python-fundamentals.pdf
複製了         1 個檔案。

find

D:\Python - Fundamentals\python-fundamentals-main>find "Jupyter" README.md

---------- README.MD
- Fully annotated Jupyter notebooks corresponding to the coding lessons.
        - A Jupyter notebook with the questions.
        - A second Jupyter notebook with a fully annotated solution (you may have a different way of solving the problem and that's absolutely fine, as long as your code works, and is clear and easy to read).
In the first chapter of this course I explain how to install and run Jupyter notebooks - please refer to that chapter if you need detailed instructions.

fc

D:\Python - Fundamentals\python-fundamentals-main>fc README.md README1.md
正在比較檔案 README.md 和 README1.MD
***** README.md
# Python Fundamentals

***** README1.MD
# Python Fundamentals_Alice

*****

Reference:

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