interview-buddy 0.4

This package is made for beginners who are appearing for interview preparation and to crack coding interviews

Interview Buddy

Interview Buddy is designed for beginners who are new to coding which has two ai-models in it code-llama-7b for code generation and python-code-explainer which makes it useful for generating code and understanding code for both beginner and intermediate programmers

Installation

Install interview-buddy with cmd

  pip install interview-buddy==0.4

Initialization for Basic Methods

from interview.interview import Interview
interview = Interview(data=10)

Initialization for Generating Code

from interview.interview import Interview
interview = Code_Generator("Generate")

Initialize the Interview object with necessary data

Methods

a. factorial() This method calculates the factorial of a given number.

Parameters:

• data: Integer, the number for which factorial is to be calculated. Example:

result = interview.factorial()
print("Factorial:", result)

Parameters:

• User_input: String, Enter the query which want to be generated. Example:

result = interview.generate_code("Write me a code for Binary Tree")
print("Factorial:", result)

Supported Methods

List all the supported methods along with a brief description of what each method does.

fibonacci_series(): Generates a Fibonacci series.
palindrom(): Checks if a string is a palindrome.
bubble_sort(): Sorts a list using the bubble sort algorithm.
insertion_sort(): Sorts a list using the insertion sort algorithm.
anagram(): Checks if two strings are anagrams.
binary_search(): Performs binary search on a sorted list.
min_(): Finds the minimum value in a list.
max_(): Finds the maximum value in a list.
reverse(): Reverses a list. generate_code(): Which is used to generate code

Installation

Install interview-buddy with cmd

  pip install interview-buddy

Authors

• @RoboJunior 👨‍💻

Dependencies

• Transformers
• Ctransformers

Transformers - Installation

  pip install transformers

Ctranformers - Installation

#Base ctransformers with no GPU acceleration
pip install ctransformers>=0.2.24

#Or with CUDA GPU acceleration
pip install ctransformers[cuda]>=0.2.24

#Or with ROCm GPU acceleration
CT_HIPBLAS=1 pip install ctransformers>=0.2.24 --no-binary ctransformers

#Or with Metal GPU acceleration for macOS systems
CT_METAL=1 pip install ctransformers>=0.2.24 --no-binary ctransformers