Skip to main content

A powerful utility that empowers pythonistas in the command line

Project description

What is pythonp?

pythonp is a simple utility script that helps you using python on the command line. Basically, it's a python -c command with a handy print function p. See examples below to see how convenient it can be.
By design, it avoids adding much sugar to the goold old python -c. It introduces no magic except for a few preprocessings and handy global variables. The goal of this project is to deliver seamless experience to python users and become a part of some major python implementations in the end, without remaining as a standalone package.

Disclaimer

There are already several projects that have smilar goals with this project such as pyp, pythonpy and others. Particularly pythonpy is super popular. I think they are all amazing projects and I don't mean to assert that every aspect of pythonp is breakingly new.
But there are fundamental differences between pythonp and others. Notably, pythonp has been designed to be able to run any python programs, not just single statements. Any valid python code should be able to be run with pythonp and only (almost valid) python code should.

How to install

You can install it via pip

python -m pip install pythonp

or you can simply download this repository and copy __main__.py to one of your $PATH locations

cp pythonp/__main__.py ...../pythonp

Handy global variables defined

p

A handy print function with commandline usage in mind. It has the similar interface to the built-in print with some exceptions.

  • It specially handles a single iterable as an argument, in which case it prints as many times as the number of elements in the iterable. Giving extra positional arguments along with an iterable is not allowed.

lines

Standard input lines. You can think of it as sys.stdin except that each line of it doesn't end with a newline character. Also note that it's subscriptable and allows a one-time random access, which means you can do something like lines[3], lines[10:].

l

l is a line from the standard input. It also doesn't end with a new line character. Without -e option, l is the first line from the standard input. With -e option, it represents each line of the standard input. See the feature explanation below to learn -e option.

_lines

Lazy evaluted non-stream-like version of lines. Becuase it's a collections.abc.Sequence, you can access its lines multiple times, reverse it, do inclusion test on it, and so forth. The lines are not prepared until you actually use it to save up memory.

Features

  • The last expression is automatically printed with p function if your code dind't write anything to sys.stdout and the last expression does not evalute to None. If you don't want this feature you can put something like ;pass or ;None in the end of your code.

  • If -e option is given, your code is applied to each line l of the stanard input, not the entire lines lines or _lines. The names lines and _lines will disappear and can not be used. Note that in the current implementation, globals are shared during continued executions of the code and there could be some side effects. This is an intended behavior but can change in the future.

  • Automatic importing is supported. pythonp automatically tries to import a name for you when it encounters an unseen one.

  • Backtick(`) in code is replaced with """ so that you can have one more way to make string literals. In python 3.6 or above f prefix is also added to make the enclosed section a f-string. For example, you can do something like this.

$ echo 91/seoul/bombs | pythonp "`name='{l.split('/')[2]}'`"  # python3.6+
name='bombs'

Examples

Make commands that you want on the fly and and run them with your shell

# Remove extensions of .txt files
$ ls | pythonp -e "if l.endswith('.txt'): p('mv', l, l[:-4])" | sh

Randomly sample N lines from a large number of lines

# choose n files randomly
ls | pythonp "random.sample(_lines, 3)"
item_1443
item_6360
item_7285

Concatenate lines

$ ls | pythonp "','.join(l.strip() for l in lines if not 'bombs' in l)"
LICENSE,README.md,pythonp,setup.py

Do something for each line

# A web crawler one-liner
$ cat urls.txt | pythonp -e 'p(requests.get(l)); time.sleep(1)' > output

Split a long line and output the nth chunk

# Get the 4th column from the current processs status 
$ ps | tail -n+1 | pythonp -e "l.split()[3]"
/usr/local/bin/fish
-fish
python3
ssh

# Only using only pythonp
$ ps | pythonp "lines[1:]" | pythonp -e "l.split()[3]"

Others

# Use it to solve some weird quiz
$ pythonp "now=datetime.datetime.now();(now.year+now.day)%10"

# Make at most 5 random names
$ pythonp "'\n'*(5-1)" | pythonp -e "''.join(random.sample(string.ascii_letters, 7))" | xargs touch

Misc

  • If you want a shorter name for pythonp you can do something like this.
mv $(which pythonp) $(dirname $(which pythonp))/py  # rename pythonp to py

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pythonp-0.3.6.tar.gz (7.1 kB view details)

Uploaded Source

Built Distribution

pythonp-0.3.6-py2.py3-none-any.whl (7.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file pythonp-0.3.6.tar.gz.

File metadata

  • Download URL: pythonp-0.3.6.tar.gz
  • Upload date:
  • Size: 7.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

File hashes

Hashes for pythonp-0.3.6.tar.gz
Algorithm Hash digest
SHA256 93871f9d5899896f2b42fed40f424ecc9b0420c4cb8777fd4bb2dda03dc5798a
MD5 0ba7d2090f52604f838f254b7bca9647
BLAKE2b-256 2d780a339f403f63acd5eda74f277bb2adbb0eaf654b76932c37d68c8aacbbfc

See more details on using hashes here.

File details

Details for the file pythonp-0.3.6-py2.py3-none-any.whl.

File metadata

  • Download URL: pythonp-0.3.6-py2.py3-none-any.whl
  • Upload date:
  • Size: 7.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

File hashes

Hashes for pythonp-0.3.6-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 683641cde442634c1b0085545641fa8dc292b44448cd7085e0cb2c98de48c5a3
MD5 0c582dbd3ddd469dea9ce41d27930db9
BLAKE2b-256 9004f0015b67e6d52d4a28f6468796bce42e3ac7f51d42b0bd03c17520116590

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page