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My_learning-Python

Learn Python:

  • Object Oriented Programming (OOP), Functional Programming (FP)

  • Data Science

  • Machine Learning

  • Web Development

  • Chatbot

Installation

How I use?

  • Editor (with suggestion): Sublime Text 3 (Crack version with setup), suggestion
  • Interpreter
    • Anaconda (on Windows)
    • Python3 (on Linux (Ubuntu)) (If required)

Tools:

  • [Linux (Ubuntu)]: sudo apt install python3

    • And use pip as package manager. Install conda using this.

    NOTE: Why not Anaconda in Linux?

    • If already installed in Windows, & Linux is running on WSL. Then, try using anaconda in Windows, so that it will not add (so many approx. 600 MB of) packages additionally in the PC/Laptop.
    • Anaconda is mainly installed because of built-in IDEs like Jupyter notebook, Spyder.
    • Also, both conda & pip package manager comes alongwith.
  • Jupyter Notebook by Anaconda (used mostly in debugging each module)

  • Sublime text 3 (Install conda packages after Anaconda installation) - Excel-python (with xlwings), Dash (Dashboard), Django (Web App)

Note: It depends on the project. If it consists of multiple dependent python files, then use ST3, otherwise use Jupyter Notebook.

  • Sublime Text 3 ([RECOMMENDED] Editor)

    • For Python, ST3 is recommended for editing.
    • Anaconda installed & added to PATH in Windows.
    • Packages
    • Build system
      • default
    • Snippet
      • None

Anaconda #packagemanager

Pip #packagemanager

pandas #package

xlwings #package

matplotlib #package

Troubleshooting

  • Error while opening jupyterlab on cmd
Error executing Jupyter command 'lab': [WinError 5] Access is denied
- Reason: As the jupyterlab is not installed as Admin during the Anaconda installation. That's why need to be either followed: M-1 or M-2.
- Solution 1
python -m jupyterlab
- Solution 2
step1: open your anaconda navigator 
step2: click on jupyter lab setting option and then remove it
step2: Now open your anaconda prompt and type the following command "conda install -c conda-forge jupyterlab"

Github Repos.

Data Visualization

References

TODO

Code

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