search
HomeBackend DevelopmentPython TutorialUseful IPython magic commands

Useful IPython magic commands

Buy Me a Coffee☕

An IPython magic command is the special code which basically starts with % or %% but sometimes ! or !!:

*Memos:

  • Basically, % or %% works more than ! or !! so only if % or %% doesn't work use ! or !!.
  • There are the magic commands which work only with % or ! but not with %% or !!.
  • I have never seen the magic commands which work with !!.
  • The magic commands with % or ! are for one line of code.
  • The magic commands with %% or !! are for a cell(one or more lines of code).
  • IPython masic commands can be used on IPython and the IPython-based editors such as Google Colab, JupyterLab, Jupyter Notebook, etc.
  • The IPython doc doesn't cover all magic commands.

% with unix(linux) commands>

*For unix(linux) commands, % should be used because ! doesn't sometimes work.

  • %pwd can show the current directory:
%pwd
# '/home/superkai'
  • %ls can show the files and folders. *-a can also show hidden files and folders:
%ls -a
# ./  ../ file1 .file2 folder1/ .folder2/
  • � can change the current directory:
%cd folder1
  • %rm can remove(delete) files and folders. *-r enables to remove folders:
%rm -r file1 folder1

!git commands>

*%git doesn't work.

1. Clone a public or private repository:

*Memos:

  • % doesn't work with git commands.
  • My post explains how to clone a private repository with FGPAT(Fine-Grained Personal Access Token) from Github.
  • My post explains how to clone a private repository with PAT(Personal Access Token) from Github.
!git clone https://github.com/<usr or org>/<repo>.git
</repo></usr>
!git clone https://<fgpat or pat>@github.com/<usr or org>/<repo>.git
</repo></usr></fgpat>

2. Do add operation:
*Memos:

  • -A can stage all (new, modified, deleted) files.
  • -a(lowercase) doesn't work.
!git add -A

3. May need config operation to add an email and username:

git config --global user.email "you@example.com"
git config --global user.name "Your Name"

4. Do commit operation. *The command without the message -m "..." gets error:

!git commit -m "New"

5. Do push operation. *The command without main will work:

%timeit and %%timeit>

*Memos:

  • %timeit works for one line of code.
  • %%timeit works for a cell(one or more lines of code)
  • You can set -r after %timeit and %%timeit e.g. %timeit -r 4 and %%timeit -r 4 which can change the number of repeats from 7 to 4. *You can check more options (flags) for %timeit and %%timeit.

%timeit can calculate the mean(average) and standard deviation(std) of one line of code, repeating 7 times with the suitable number of loops by default as shown below:

%pwd
# '/home/superkai'

%%timeit can calculate the mean(average) and standard deviation(std) of a cell(one or more lines of code), repeating 7 times with the suitable number of loops by default as shown below:

%ls -a
# ./  ../ file1 .file2 folder1/ .folder2/

%time and %%time>

*Memos:

  • %time works for one line of code.
  • %%time works for a cell(one or more lines of code)
  • CPU times is the total of User CPU time and System CPU time: *Memos:
    • User CPU time is the amount of the time which program uses CPU on user space. *User space is the memory space for applications.
    • System CPU time is the amount of the time which program uses CPU on kernel space. *Kernel space is the memory space for kernel which is the core of the operating system.
  • Real is Real time which is the time from when program starts to when program finishes. *Real time is also called wall-clock time or wall time.

%time can calculate CPU time and wall(real) time of one line of code as shown below:

%cd folder1

%%time can calculate CPU time and wall (real) time of a cell(one or more lines of code) as shown below:

%rm -r file1 folder1

The above is the detailed content of Useful IPython magic commands. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Merging Lists in Python: Choosing the Right MethodMerging Lists in Python: Choosing the Right MethodMay 14, 2025 am 12:11 AM

TomergelistsinPython,youcanusethe operator,extendmethod,listcomprehension,oritertools.chain,eachwithspecificadvantages:1)The operatorissimplebutlessefficientforlargelists;2)extendismemory-efficientbutmodifiestheoriginallist;3)listcomprehensionoffersf

How to concatenate two lists in python 3?How to concatenate two lists in python 3?May 14, 2025 am 12:09 AM

In Python 3, two lists can be connected through a variety of methods: 1) Use operator, which is suitable for small lists, but is inefficient for large lists; 2) Use extend method, which is suitable for large lists, with high memory efficiency, but will modify the original list; 3) Use * operator, which is suitable for merging multiple lists, without modifying the original list; 4) Use itertools.chain, which is suitable for large data sets, with high memory efficiency.

Python concatenate list stringsPython concatenate list stringsMay 14, 2025 am 12:08 AM

Using the join() method is the most efficient way to connect strings from lists in Python. 1) Use the join() method to be efficient and easy to read. 2) The cycle uses operators inefficiently for large lists. 3) The combination of list comprehension and join() is suitable for scenarios that require conversion. 4) The reduce() method is suitable for other types of reductions, but is inefficient for string concatenation. The complete sentence ends.

Python execution, what is that?Python execution, what is that?May 14, 2025 am 12:06 AM

PythonexecutionistheprocessoftransformingPythoncodeintoexecutableinstructions.1)Theinterpreterreadsthecode,convertingitintobytecode,whichthePythonVirtualMachine(PVM)executes.2)TheGlobalInterpreterLock(GIL)managesthreadexecution,potentiallylimitingmul

Python: what are the key featuresPython: what are the key featuresMay 14, 2025 am 12:02 AM

Key features of Python include: 1. The syntax is concise and easy to understand, suitable for beginners; 2. Dynamic type system, improving development speed; 3. Rich standard library, supporting multiple tasks; 4. Strong community and ecosystem, providing extensive support; 5. Interpretation, suitable for scripting and rapid prototyping; 6. Multi-paradigm support, suitable for various programming styles.

Python: compiler or Interpreter?Python: compiler or Interpreter?May 13, 2025 am 12:10 AM

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Python For Loop vs While Loop: When to Use Which?Python For Loop vs While Loop: When to Use Which?May 13, 2025 am 12:07 AM

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Python loops: The most common errorsPython loops: The most common errorsMay 13, 2025 am 12:07 AM

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SublimeText3 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

Safe Exam Browser

Safe Exam Browser

Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

Atom editor mac version download

Atom editor mac version download

The most popular open source editor

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor