https://github.com/lakshmankishore/intro_to_numpy_and_pandas

https://github.com/lakshmankishore/intro_to_numpy_and_pandas

Last synced: 9 days ago
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• Host: GitHub
• URL: https://github.com/lakshmankishore/intro_to_numpy_and_pandas
• Owner: LakshmanKishore
• Created: 2024-02-18T12:55:42.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-02-23T16:04:23.000Z (11 months ago)
• Last Synced: 2024-11-09T01:09:36.834Z (2 months ago)
• Language: Jupyter Notebook
• Size: 35.2 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Welcome to your journey into NumPy and Pandas!

This repository guides you through the fundamentals of these essential Python libraries for data science and analysis.

## What You'll Find:

- **Notebooks:** Explore interactive notebooks covering key concepts like data structures, manipulation, analysis, and visualization.

- **Step-by-Step Learning:** Dive deeper with examples and exercises to solidify your understanding.

- **Conda Environment Setup:** Quickly set up a dedicated environment for seamless working.

## Ready to Begin?

**1. Install Anaconda:**

Visit [here](https://docs.anaconda.com/free/anaconda/install/) to download and install Anaconda, a distribution packed with Python and data science tools.

**2. Fork and Clone the repo:**

**a. Fork the repo:**

On GitHub, navigate to this repository and click the "Fork" button. This creates a copy of the repository in your own GitHub account.

**b. Clone your Fork:**

Open your terminal and clone your forked repository:

```bash

git clone https://github.com//intro_to_numpy_and_pandas.git

```

and then type this command to enter into the directory.

```bash

cd intro_to_numpy_and_pandas

```

**3. Create a Conda Environment:**

Open your terminal and type the following command, replacing `` with your preferred Python version (e.g., `python=3.10`):

```shell

conda create -n intro_numpy_pandas python=

```

**4. Activate the Environment:**

Activate your newly created environment:

```bash

conda activate intro_numpy_pandas

```

**5. Install required packages:**

Run this command to install required packages (mostly contains NumPy, pandas and jupyter lab).

```bash

pip install -r requirements.txt

```

**6. Open Jupyter lab**

Run this command to open jupyter lab, after running this command jupyter lab will be opened.

```bash

jupyter-lab

```

**7. Start Exploring!**

Open any notebook in this repository. Begin your learning adventure!

**Happy coding!**