cracking-the-coding-interview | various problems in this book as part | SQL Database library

by chase-seibert Python Version: Current License: No License

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

kandi X-RAY | cracking-the-coding-interview Summary

cracking-the-coding-interview is a Python library typically used in Database, SQL Database, Example Codes, LeetCode applications. cracking-the-coding-interview has no bugs, it has no vulnerabilities and it has low support. However cracking-the-coding-interview build file is not available. You can download it from GitHub.

My solutions to various problems in this book as part of a practice run for interviews in 2018.

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Support

cracking-the-coding-interview has a low active ecosystem.

It has 21 star(s) with 4 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

cracking-the-coding-interview has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cracking-the-coding-interview is current.

Quality

cracking-the-coding-interview has 0 bugs and 0 code smells.

Security

cracking-the-coding-interview has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

cracking-the-coding-interview code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cracking-the-coding-interview does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

cracking-the-coding-interview releases are not available. You will need to build from source code and install.

cracking-the-coding-interview has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

cracking-the-coding-interview saves you 224 person hours of effort in developing the same functionality from scratch.

It has 548 lines of code, 44 functions and 37 files.

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

Top functions reviewed by kandi - BETA

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

Generate all the queens of n
Print a board
Check if new_col is valid
Move the given number of disks
Print source and buffer data
Find the smallest difference between a and b
Pretty print the source and buffer
Return all permissions of a string
Return a set of permutations of strings
Paint a matrix
Multithm
Return True if two strings are the same
Return the number of steps
Check if two strings are away
Return a subset of subsets
Return a set of parentheses
Merge two lists
Recursively finds the path in the given path
Returns a set of all coin permissions for n - grams
Return the height of a list of boxes
Return the index of a value in a sequence
Compress a string
Zero out all rows
URLize a string

Get all kandi verified functions for this library.

cracking-the-coding-interview Key Features

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cracking-the-coding-interview Examples and Code Snippets

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Community Discussions

Trending Discussions on cracking-the-coding-interview

Jupyter notebook, working with data for machine learning

QUESTION

Jupyter notebook, working with data for machine learning

Asked 2018-Sep-17 at 18:19

I am pretty new to working with jupyter notebook. I overall like it, although I sometimes get some weird errors that sometimes appear and then sometimes do not. For example, I have a data set that looks like this (showing the .head()):

Now, if I set say volume = data["avg_volume"], and then say volume.head() I get this:

But lets say I delete that line and put it somewhere else, I sometimes will get this error:

...

ANSWER

Answered 2018-Sep-17 at 18:19

In your code for data in pnl, you redefined the variable data, so it is no longer a DataFrame and cannot by indexed by a colum name.

And BTW, many bugs like this can be found out when you are trying to produce a minimal, complete, verifiable example. You'll notice that when you remove the for loop this bug is gone.

Source https://stackoverflow.com/questions/52372686

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

Vulnerabilities

No vulnerabilities reported

Install cracking-the-coding-interview

New env: python3 -m venv venv.
Max int: sys.maxsize

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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