How do I make a portfolio for a Python project?

How do I make a portfolio for a Python project?

Let’s dive right in!

1. Build a portfolio around your interests.
2. Pick projects that others will understand.
3. Avoid common datasets.
4. Balance your portfolio with different projects.
5. Participate in competitions.
6. Check out portfolios of other successful data scientists.
7. Consider using Jupyter Notebook.
8. Post your code on GitHub.

How do I create a data science portfolio website?

How to make an impressive Data Science Portfolio?

1. Have an active Github profile.
2. Practice questions using HackerRank.
3. Read Blogs.
4. Make your portfolio website.
5. Have a LinkedIn profile.
6. Do small projects.
7. Deploy code.
8. Focus on community building.

Is it possible to build a website with Python?

How does Python fit into web development? Python can be used to build server-side web applications. However, most Python developers write their web applications using a combination of Python and JavaScript. Python is executed on the server side while JavaScript is downloaded to the client and run by the web browser.

What should be in a Python portfolio?

What Can I Do with Python: 15 Python Projects to Add to Your…

1. Organize files on your machine.
2. Keep track of your digital collections.
3. Host your resume as a static website.
4. Build dynamic websites.
5. Train a neural network.
6. Make recommendations.
7. Visualize data.
8. Analyze sentiment online.

How do you create a portfolio?

Read on for 20 top tips from the pros themselves.

1. Be thoughtful about what you include. Liz Designs Things.
2. Select only your strongest pieces.
3. Showcase your most unique and creative work.
4. Go for variety.
5. Decide on how many pieces to include.
6. Do you need a physical portfolio?
7. Go high-resolution.
8. Stay current.

What should I do with my Python portfolio?

Now that you know the basics of Python, you can put that knowledge to use by building projects to put in your portfolio. The trick is finding project ideas that are just right for your level. Creating a variety of applications is a way to demonstrate your knowledge and share it with others.

Where can I find finance data in Python?

As mentioned in the Python Finance training post, the pandas-datareader package enables us to read in data from sources like Google, Yahoo! Finance and the World Bank. Here I’ll focus on Yahoo!

How to build a data science portfolio website?

Inside it, create a folder templates to include the layout.html and index.html files. Create another folder static for your styles.css file. The app.py file needs to be directly in the project folder. In your shell (I use Git Bash), move into the website project folder and enter flask run .

How to create a Yahoo Finance stock portfolio?

Import S&P 500 and sample ticker data, using the Yahoo Finance API Create a merged portfolio ‘master’ file which combines the sample portfolio dataframe with the historical ticker and historical S&P 500 data