portfolio

portfolio is this site. It holds one object, erdem, and everything you can read here is an attribute of it.

This page is its documentation, and it is a notebook too. Every example below has already been run. Click into a cell, change it, and press Enter to run it again, or use the empty cell at the end.

Quickstart

Import the object and look at it.

In [1]:

from portfolio import erdem

In [2]:

erdem

Out[2]:

Erdem(name='Yusuf Erdem Altinsoy', location='Istanbul, Turkey', seeking='data science internship')

dir(erdem) lists the sections of the site. Each name in the output is a link that runs it.

In [3]:

dir(erdem)

Out[3]:

['describe()', 'info()', 'projects', 'experience', 'skills', 'contact']

Methods and attributes

erdem follows the pandas convention. What builds a report is a method and is called with parentheses. What is data is an attribute and is read without them.

Method	Reports
`erdem.describe()`	A short summary and the key facts
`erdem.info()`	The CV: education, skills, languages

Attribute	Type	Holds
`erdem.projects`	`DataFrame`	The projects, one row each
`erdem.experience`	`Experience`	Work experience
`erdem.skills`	`dict`	Languages and technologies
`erdem.contact`	`dict`	Email and profile links
`name`, `location`, `seeking`, `email`	`str`	The basics
`education`, `languages`	`dict`	Degree and spoken languages

As in pandas, describe() returns its table and info() prints, so the output of info() has no Out prompt.

In [4]:

erdem.info()

<class 'portfolio.Erdem'> Education B.Sc. Computer Engineering, Yeditepe UniversityIstanbul, TurkeySept. 2023 – expected June 2028English-medium, including a prep year Skills Languages: Python, SQL (PostgreSQL), C++, CTechnologies: Pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, BeautifulSoup, nodriver, Jupyter, Git Spoken languages Turkish: NativeEnglish: B2. University preparatory program; degree taught fully in English; three months living abroad in Germany.

An attribute is a Python value: index it, take its length, call string methods on it.

In [5]:

erdem.skills

Out[5]:

{'Languages': ['Python', 'SQL (PostgreSQL)', 'C++', 'C'], 'Technologies': ['Pandas', 'NumPy', 'scikit-learn', 'XGBoost', 'LightGBM', 'CatBoost', 'BeautifulSoup', 'nodriver', 'Jupyter', 'Git']}

In [6]:

erdem.name

Out[6]:

'Yusuf Erdem Altinsoy'

In [7]:

erdem.contact["email"]

Out[7]:

'altinsoyyusuferdem@gmail.com'

In [8]:

len(erdem.skills["Technologies"])

Out[8]:

Projects

erdem.projects is a small pandas-style DataFrame: one row per project, indexed by a short name, with the columns title, status, stack and summary.

In [9]:

erdem.projects.shape

Out[9]:

(3, 4)

In [10]:

erdem.projects.status.value_counts()

Out[10]:

status Built 2 In progress 1 Name: count, dtype: int64

Select rows the pandas way, with a boolean mask.

In [11]:

erdem.projects[erdem.projects.status == "Built"]

Out[11]:

	title	status	stack	summary
fbref-scraper	fbref_scraper	Built	Python 3.11, nodriver, BeautifulSoup, pydantic, SQLAlchemy, PostgreSQL	A modular fbref.com football data scraper: 4 page types parsed by 19 scraper modules into 26 typed models with 118 validated fields.
kaggle-competitions	Kaggle competitions	Built	Pandas, scikit-learn, XGBoost, LightGBM, CatBoost	Spaceship Titanic (solo): rank 95 of 1,583 (top 6%), 0.810 public accuracy against a roughly 50% majority-class baseline.

.loc with a row and a column gives one value. With the row alone it opens that project's full write-up; so does clicking a row's name in the table above.

In [12]:

erdem.projects.loc["race-strategy", "status"]

Out[12]:

'In progress'

On	Supported
DataFrame	`head(n)`, `tail(n)`, `shape`, `columns`, `index`, `info()`, `len(df)`, `df["column"]`, `df.column`, `df[mask]`, `loc[row]`, `loc[row, column]`, `iloc[n]`
Series	`value_counts()`, `unique()`, `tolist()`, `== value`, `!= value`

Plain Python

The kernel also evaluates arithmetic, strings, lists and tuples, and the built-ins len, type, print, vars, dir and help.

In [13]:

print(2 ** 10, erdem.name.upper())

1024 YUSUF ERDEM ALTINSOY

Errors

A mistake raises the error Python would raise, with Python's suggestion when it has one.

In [14]:

erdem.nam

--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Cell In[14], line 1 ----> 1 erdem.nam AttributeError: 'Erdem' object has no attribute 'nam'. Did you mean: 'name'?

The same goes for mixing up the two kinds. Data is not callable, and a method named without its parentheses is shown, not run.

In [15]:

erdem.projects()

--------------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[15], line 1 ----> 1 erdem.projects() TypeError: 'DataFrame' object is not callable

In [16]:

erdem.describe

Out[16]:

Using the notebook

Control	What it does
Enter, or Shift + Enter	Runs the cell and moves to the next one
Alt + Enter	Starts a new line in the cell
Tab	Completes a partly typed command
The four toolbar buttons	Insert a cell below, run the selected cell, reload the page, run everything from the top
Code / Markdown	Changes the selected cell's type; a Markdown cell renders what you write
The bin on the selected cell	Deletes it. The cells a page opens with stay.
Double-click	Opens a Markdown cell you wrote for editing

Limits

This is not a full Python. A cell holds one expression: there are no variables, assignments, loops or function definitions, and portfolio is the only module that can be imported. Anything else raises NotImplementedError.

In [ ]: