https://roadmap.sh/python More on reddit.com

Hi ! Unfortunately, i do not have a good training to propose. On my side i lerant on the point python to perform data scraping (from excel sources) for data analysis. So i can advise so points i think are useful to study and practice on real case of data analysis. I. Pure python Python types: int, float, bool, str, None The methods associated to str type (replace, contains, ...) Python types: list, dict, set, tuples Python operators: == and is and in + the concept of variable addresses using id Practice the mutability or immutability of list, dict, str, tuples Flow control: how to use for, if, in, break and continue Python function: how to create a function using def and return How to use python type hints Learn how to create objects with methods and attributes Practice the import of function and variable using import from a different python file Learn how works reltive import from relative folders, how to create a module or submodules using init, how to use alll Practice the import of standard libraries such as math ,os or os.path Practice the open function and with to read or write txt files How to use multiprocessing and the importance of "if name == "main"" II. Python Packages Practice the use of numpy, how tobuse array and nd array, how to perform calculations, compare the efficiency to for loop on a list Practice the use of pandas, how to use dataframe and series, how to use method. Compare how works a panda dataframe to a simple object defined by yourselves. Practice the read function of pandas. Practice matplotlib.pyplot. how to create a figure, the concept of axes (using plt.subplots), plot some calculations performed using numpy and/or pandas. Practice simple interface using tkinter (may be a bit tough, so do not hesitate to keep for much later) III. Beyond Machine learning, learn how to play with scikit learn (linear regression for example) Web interface. Create simple local web interface and server using streamlit for example. Web scraping, learn how to use beautiful soup Reporting in excel .Learn how to use xlsx writters, openpyxl and xlwings. Anything else you can have in mind IV. Python project management Learn how to structure your project using module and submodules Learn how to define conda environment or virtual environment to manage your project and pip Learn how to use reauirements.txt to keep track of used library Learn how yo use git for versioning of your project. That is a very tough raodmap, but you can acquire a lot of concepts. You may receive additional interesting advices from other persons too. I think you can easily find ressources easily on YouTube for each point above . Also, do not hesitate to drive your learning with a real target or project,it will help you to develop your skills. More on reddit.com

https://roadmap.sh/ More on reddit.com

I'm a beginner also and currently following a very good free python course called Python for Everybody , it's awesome. https://www.py4e.com/ More on reddit.com