A collection of Python coding challenges, algorithms, and tips designed to help you prepare for technical interviews just using pure python code.
This repository provides a comprehensive set of Python problems and solutions to help you prepare for coding interviews. It includes various types of problems such as algorithms, data structures, and system design questions. Additionally, you'll find tips and resources to refine your interview skills.
To get started with the materials in this repository:
- Clone the repository
git clone https://github.com/yourusername/python-interview-preparing.git- Explore the challenges: Go through the directories and files to find problems and solutions.
- Practice: Solve the problems on your own before reviewing the provided solutions.
This will be our laboratory, where we can acess the folders studies.
To use Jupyter Notebook within a virtual environment, follow these steps:
-
Create a Virtual Environment
Use
virtualenvto create a virtual environment with Python 3.7:virtualenv --python=/path/to/your/python3.7 <your_env_name>
Replace /path/to/your/python3.7 with the path to your Python 3.7 executable, and <your_env_name> with a name for your environment.
- Activate the Virtual Environment
Activate your virtual environment using:
source your_env_name/bin/activate- Install Jupyter and Required Packages
Install Jupyter Notebook and any other necessary packages:
pip install jupyter- Add a New Kernel to Jupyter (Optional)
If you want to use the virtual environment as a kernel in Jupyter Notebook, run:
ipython kernel install --user --name=<your_env_name>- Install the rest of dependencies:
pip install -r requirements.txt- Start Jupyter Notebook
Launch Jupyter Notebook:
jupyter-notebook- Miguel Angelo do Amaral Junior