python-lessons | Exercises and code snippets to share with my students | Learning library

by shannonturner Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | python-lessons Summary

python-lessons is a Python library typically used in Tutorial, Learning applications. python-lessons has no vulnerabilities, it has a Permissive License and it has low support. However python-lessons has 1 bugs and it build file is not available. You can download it from GitHub.

In here are code snippets, examples, and other ways to help teach some of the concepts and tricks in Python.

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Quality

Security

License

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Support

python-lessons has a low active ecosystem.

It has 459 star(s) with 195 fork(s). There are 93 watchers for this library.

It had no major release in the last 6 months.

python-lessons has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of python-lessons is current.

Quality

python-lessons has 1 bugs (0 blocker, 0 critical, 0 major, 1 minor) and 269 code smells.

Security

python-lessons has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

python-lessons code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

python-lessons is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

python-lessons releases are not available. You will need to build from source code and install.

python-lessons has no build file. You will be need to create the build yourself to build the component from source.

python-lessons saves you 366 person hours of effort in developing the same functionality from scratch.

It has 874 lines of code, 10 functions and 80 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed python-lessons and discovered the below as its top functions. This is intended to give you an instant insight into python-lessons implemented functionality, and help decide if they suit your requirements.

Access a nested dictionary .
Returns a list of all available states .
Read a csv file .
Generates a simple example from a list of lists .
Remove duplicates from_list
Check if string is an alphanumeric character .
Read a csv file .
Read a text file into a string .
Return the quadrant from the address .
Divide two numbers .

Get all kandi verified functions for this library.

python-lessons Key Features

No Key Features are available at this moment for python-lessons.

python-lessons Examples and Code Snippets

No Code Snippets are available at this moment for python-lessons.

Community Discussions

Trending Discussions on python-lessons

Pandas - formatting a NxN matrix

QUESTION

Pandas - formatting a NxN matrix

Asked 2017-Sep-09 at 03:13

I have to deal with a square matrix (N x N) (N will change depending on the system, but the matrix will always be a square matrix).

Here is an example:

...

ANSWER

Answered 2017-Sep-09 at 03:13

import pandas as pd
filename = 'data'
df = pd.read_fwf(filename, widths=[9, 19, 19, 19, 19, 19])
df = df.rename(columns={'Unnamed: 0':'row'})
df = df.dropna(subset=['row'], how='any')
df['col'] = df.groupby('row').cumcount()
df = df.pivot(index='row', columns='col')
df = df.dropna(how='any', axis=1)
df.columns = range(len(df.columns))
print(df.head())

Source https://stackoverflow.com/questions/46126020

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install python-lessons

You can download it from GitHub.
You can use python-lessons like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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