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likhitha manikonda
likhitha manikonda

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Data Analysis with Python — Beginner Friendly Guide 📊🐍

#ai #python #tutorial #analytics

Data analysis means turning raw data into clear answers.

A single-stop, beginner-friendly guide that covers every essential concept for data analysis in Python from zero knowledge to practical skills. Includes step-by-step explanations, runnable examples, common pitfalls, quick cheats, and exercises.

Setup and First Steps 🛠️

  • What you need
    • Python 3.8+; install via python.org or use Anaconda for bundled scientific packages.
    • Recommended editors: VS Code or JupyterLab / Jupyter Notebook for interactive work.
    • Install key packages: numpy, pandas, matplotlib, seaborn.
  • Install commands 
pip install numpy pandas matplotlib seaborn notebook
# or with conda
conda install numpy pandas matplotlib seaborn notebook
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  • Start a notebook 
jupyter notebook
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Core Python Review for Data Analysis 🔁

  • Data types: int, float, bool, str, None.
  • Collections: list, tuple (immutable), dict (key-value), set (unique items).
  • Comprehensions: concise list/dict/set creation.
  • Functions: def, arguments, return.
  • Iteration: for, while; use enumerate and zip often.
  • Context managers: with open(...) as f.
  • Why this matters: pandas and numpy rely on Python basics; comfortable code reduces debugging time.

First steps with Python — bookmark this beginner’s guide for easy reference: https://dev.to/codeneuron/java-vs-python-for-beginners-a-syntax-perspective-1557

Numpy In Python : https://dev.to/codeneuron/numpy-in-python-4a3e
Pandas DataFrame And Series : https://dev.to/codeneuron/pandas-dataframe-and-series-1npb
Data Manipulation With Pandas And Numpy : https://dev.to/codeneuron/data-manipulation-with-pandas-and-numpy-2p76
Reading Data From Various Data Source Using Pandas : https://dev.to/codeneuron/reading-data-from-various-data-sources-using-pandas-a-beginners-guide-2o2e
Data Visualization With Matplotlib: https://dev.to/codeneuron/data-visualization-with-matplotlib-a-beginners-guide-46d9
Data Visualization With Seaborn: https://dev.to/codeneuron/data-visualization-with-seaborn-a-beginners-guide-32p1

If you have any questions, suggestions, or corrections, please feel free to leave a comment. Your feedback helps me improve and create more accurate content.

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