Source code of Python and data science snippets posted daily at Data Science Simplified. You can receive these daily tips in your mailbox for free by subscribing to the website.
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Title | Explanation | Code |
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Get Multiples of a Number Using Modulus | link | link |
fractions: Get Numerical Results in Fractions instead of Decimals | link | link |
How to Use Underscores to Format Large Numbers in Python | link | link |
Confirm whether a variable is a number | link | link |
Get a Division, Floor Division, And The Remainder of a Division in Python | link | link |
Title | Explanation | Code |
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Boolean Operators: Connect Two Boolean Expressions into One Expression | link | link |
Title | Explanation | Code |
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__str__ and __repr__ : Create a String Representation of a Python Object |
link | link |
String find: Find the Index of a Substring in a Python String | link | link |
eval: Turn a Python String into a Variable or Function | link | link |
re.sub: Replace One String with Another String Using Regular Expression | link | link |
Title | Explanation | Code |
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any: Check if Any Element of an Iterable is True | link | link |
Extended Iterable Unpacking: Ignore Multiple Values when Unpacking a Python Iterable | link | link |
How to Unpack Iterables in Python | link | link |
random.choice: Get a Randomly Selected Element from a Python List | link | link |
random.sample: Get n Random Elements From a List | link | link |
filter: Get the Elements of an Iterable that a Function Returns True | link | link |
heapq: Find n Max Values of a Python List | link | link |
join method: Turn an Iterable into a Python String | link | link |
Zip: Associate Elements from Two Iterators based on the Order | link | link |
collections.Counter: Count the Occurrences of Items in a List | link | link |
Zip Function: Create Pairs of Elements from Two Lists in Python | link | link |
Stop using = operator to create a copy of a Python list. Use copy method instead | link | link |
itertools.combinations: A better way to iterate through a pair of values in a Python list | link | link |
itertools.product: Nested For-Loops in a Generator Expression | link | link |
itertools.islice: Get Items From an Iterable That are Within a Certain Range With a Specific Incrementation | link | link |
Enumerate | link | link |
set.intersection: Find the Intersection Between 2 Sets | link | link |
Set Difference: Find the Difference Between 2 Sets | link | link |
Difference between list append and list extend | link | link |
map method: Apply a Function to Each Item of an Iterable | link | link |
Why Should you Rewrite a For-Loop as a List Comprehension? | link | link |
Title | Explanation | Code |
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namedtuple: A Lightweight Python Structure to Mange your Data | link | link |
slice: Make your Indices more Readable by Naming your Slice | link | link |
Title | Explanation | Code |
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Defaultdict: Return a default value when a key is not available | link | link |
Defaultdict: Create a Dictionary with Values that are List | link | link |
Ordered dictionary in Python | link | link |
Title | Explanation | Code |
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datetime + timedelta: Calculate End DateTime based on Start DateTime and Duration | link | link |
Use Dates in a Month as the Feature | link | link |
Title | Explanation | Code |
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*iterator: Pass Values of an Iterator to a Function | link | link |
Use Python Built-in Functions to Speed your Code | link | link |
**kwargs: Pass multiple arguments to a function in Python | link | link |
Return Multiple Values from a Function Using Python Dictionary | link | link |
Decorator in Python | link | link |
functools.partial: Generate a New Function with Fewer Arguments | link | link |
singledispatch: Call Another Function Based on the Type of the Current Function’s Argument | link | link |
Title | Explanation | Code |
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Abstract Classes: Declare Methods without Implementation | link | link |
classmethod: What is it and When to Use it | link | link |
getattr: a Better Way to Get the Attribute of a Class | link | link |
__call__ : You can Call your Class Instance like a Function. Here is how |
link | link |
Static method: use the function without adding the attributes required for a new instance | link | link |
Property Decorator: A Pythonic Way to Use Getters and Setters | link | link |
Title | Explanation | Code |
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Shutil: Move Files in Python | link | link |
pathlith.Path | link | link |
pathlib: Create, Write, and Rename Files in One Line of Code | link | link |
Pathlib: Iterate Over All Files that End with ‘.csv’ in a Directory | link | link |
Path.parents: Get the Parent Directory of a File | link | link |
How to Improve the Readability of your JSON file using Indent | link | link |
__main__.py : Run a Directory like a Main Script |
link | link |
Title | Explanation | Code |
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Assert in Python: Output a Customized Message When the Assertion Fails | link | link |
warnings: Ignore Warnings when Running Python Code | link | link |
Title | Explanation | Code |
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How to Execute Shell Commands in a Python Script | link | link |
argparse: Python Library to Parse Arguments from Command Line | link | link |
Title | Explanation | Code |
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Stop Writing Code Comments. Use Meaningful Names Instead | link | |
Underscore(_): Ignore values that will not be used | link | link |
Underscore “_”: Ignore the index in Python for loops | link | link |
Save Immediate Output when an Error Occurs | link | |
Print error without stopping the for loop in Python | link | link |
Python Pass Statement | link | link |
Type hint in Python 3.9 | link |
Title | Explanation | Code |
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Concurrently execute tasks on separate CPUs | link | link |
Compare the execution time between 2 functions | link | link |
Title | Explanation | Code |
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pd.DataFrame.agg: Aggregate over Columns or Rows Using Multiple Operations | link | link |
pandas.DataFrame.agg: Apply Different Aggregations to Different Columns | link | link |
DataFrame.pipe: Increase the Readability of your Code when Applying Multiple Functions to a DataFrame | link | link |
pd.Series.map: Change Values of a Pandas Series Using a Dictionary | link | link |
pd.Series.str: Manipulate Text Data in a pandas Series | link | link |
set_categories in pandas: Sort Categorical Column by a Specific Ordering | link | link |
parse_dates: Convert Columns into Datetime When Using Pandas to Read CSV Files | link | link |
Filter Rows only if Column Contains Values from another List | link | link |
Specify suffixes when using df.merge() | link | link |
Specify the datatype to speed up your code and reduce memory | link | |
Highlight your pandas DataFrame | link | link |
Assign Values to Multiple New Columns | link | link |
Reduce pd.DataFrame’s Memory | link | link |
pd.DataFrame.explode: Transform Each Element in an Iterable to a Row | link | link |
pandas.cut: Bin a DataFrame’s values into Discrete Intervals | link | link |
Forward Fill in Pandas: Use the Previous Value to Fill the Current Missing Value | link | link |
pandas.pivot_table: Turn Your DataFrame Into a Pivot Table | link | link |
Title | Explanation | Code |
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df.columns.str.startswith: Find DataFrame’s Columns that Start with a Pattern | link | link |
pandas.DataFrame.iterrows: Iterate over Rows of a DataFrame | link | link |
pandas.Series.dt: Access Datetime Properties of pandas Series | link | link |
pd.Series.between: Select Rows in a pandas Series Containing Values between 2 Numbers | link | link |
DataFrame rolling: Find the average of the previous n datapoints using Pandas | link | link |
select_dtypes: Return a subset of a DataFrame including/excluding columns based on their dtype | link | link |
pct_change: Find the percentage change between the current and a prior element in a pandas Series | link | link |
DataFrame.diff and DataFrame.shift: Take the Difference between Rows within a Column in Pandas | link | link |
Pandas DataFrame: How to select all columns that start with a word | link | link |
Exclude Outliers | link | link |
Pandas DataFrame Get Data in a Year Range | link | link |
pd.reindex: Replace the Values of the Missing Dates with 0 | link | link |
Select DataFrame Rows Before or After a Specific Date | link | link |
DataFrame.groupby.sample: Get a Random Sample of Items from Each Category in a Column | link | link |
Title | Explanation | Code |
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assert_frame equal: Test whether Two DataFrames are Similar | link | link |
Title | Explanation | Code |
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np.ravel: Flatten a Numpy Array | link | link |
Use List to Change the Positions of Rows or Columns in a Numpy Array | link | link |
Key Parameter in Max(): Find the Key with the Largest Value | link | link |
Difference between Numpy’s All and Any Methods | link | link |
Double np.argsort: Get Rank of Values in an Array | link | link |
Get the index of the max value in a Numpy array | link | link |
np.all: Test Whether All Elements along a Given Axis of a NumPy Array Evaluate to True | link | link |
np.where: Replace Elements of a NumPy Array Based on a Condition | link | link |
array-to-latex: Turn a Numpy Array into Latex | link | link |
Numpy Comparison Operators | link | link |
NumPy.linspace: Get Evenly Spaced Numbers Over a Specific Interval | link | link |
NumPy.testing.assert_almost_equal: Check If Two Arrays Are Equal up to a Certain Precision | link | link |
Title | Explanation | Code |
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snoop : Smart Print to Debug your Python Function | link | link |
pytest benchmark: A Pytest Fixture to Benchmark your Code | link | link |
pytest.mark.parametrize: Test your Functions with Multiple Inputs | link | link |
Pytest: Shows only Failed Tests | link | |
Pytest Fixtures: Use the same data for different tests | link | link |
Pytest repeat | link | link |
Pandera: a Python Library to Validate Your Pandas DataFrame | link | link |
Title | Explanation | Code |
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faker: Create Fake Data in One Line of Code | link | link |
DVC: A Data Version Control Tool for your Data Science Projects | link | link |
fetch_openml: Get OpenML’s Dataset in One Line of Code | link | link |
github-to-sqlite: Download the Data of your Starred GitHub Repositories in One Command Line | link | |
Autoscraper | link | link |
Extract series data from various Internet sources directly into a pandas DataFrame | link | link |
Compare the similar features between 2 different datasets | link | link |
newspaper3k: Extract Meaningful Information From an Articles in 2 Lines of Code | link | link |
distfit: Find The Best Theoretical Distribution For Your Data in Python | link | link |
Title | Explanation | Code |
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datefinder: Automatically Find Dates and Time in a Python String | link | link |
dill’s getname: Get Names a Python Object | link | link |
pytrend: Get the Trend of a Keyword on Google Search Over Time | link | link |
add_datepart: Add Relevant DateTime Features in One Line of Code | link | link |
Geopy: Extract Location Based on Python String | link | link |
Maya: Convert the string to datetime automatically | link | link |
Select the features by their relevance | link | |
Extract holiday from date column | link | link |
fastai’s cont_cat_split: Get a DataFrame’s Continuous and Categorical Variables Based on Their Cardinality | link | link |
Title | Explanation | Code |
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D-Tale: A Python Library to Visualize and Analyze your Data Without Code | link | |
Graphviz: Create a Flowchart to Capture your Ideas in Python | link | link |
Create an interactive map in Python | link | link |
dtreeviz: Visualize and Interpret a Decision Tree Model | link | link |
Title | Explanation | Code |
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Datapane: Publish your Python Objects on the Web in 2 Lines of Code | link | link |
gdown: Download a File from Google Drive in Python | link | link |
Title | Explanation | Code |
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TextBlob: Processing Text in One Line of Code | link | link |
sumy: Summarize Text in One Line of Code | link | |
Spacy_streamlit: Create a Web App to Visualize your Text in 3 Lines of Code | link | link |
Extract a contiguous sequence of 2 words | link | link |
Detect the “almost similar” articles | link | link |
Convert number to words | link | link |
texthero.clean: Preprocess Text in One Line of Code | link | link |
wordfreq: Estimate the Frequency of a Word in 36 Languages | link | link |
Title | Explanation | Code |
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Don’t Hard-Code. Use Hydra Instead | link | link |
python-dotenv: How to Load the Secret Information from .env File | link | link |
kedro pipeline: Create Pipeline for your Data Science Projects in Python | link | link |
docopt: Create Beautiful Command-line Interfaces for Documentation in Python | link | link |
Title | Explanation | Code |
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fastai’s df_shrink: Shrink DataFrame’s Memory Usage in One Line of Code | link | link |
Swifter: Add One Word to Make your Pandas Apply 23 Times Faster | link | link |
Title | Explanation | Code |
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rich-dataframe: Create Animated and Colorful Pandas Dataframe | link | |
tqdm: Add Progress Bar to your Pandas Apply | link | link |
tqdm.set_description: Set a Description for Your Progress Bar | link | link |
Title | Explanation | Code |
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causalimpact: Find Causal Relation of an Event and a Variable in Python | link | link |
Pipeline + GridSearchCV: Prevent Data Leakage when Scaling the Data | link | link |
Decompose high dimensional data into two or three dimensions | link | link |
Cross Validation with Time Series | link | |
squared=False: Get RMSE from Sklearn’s mean_squared_error method | link | link |
Title | Explanation | Code |
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tr Command: Translate Characters to Improve Readability In Unix/Linux | link | link |
Sed Command: Replace a string with another string on the command line | link | link |
Title | Explanation | Code |
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fd: a Simple Tool to Search for Files or Directories Fast | link | |
ln -s: Create Symbolic Link Between 2 Files | link | link |
tee: Save Command Output to a File | link | link |
Make Important Files Impossible to be Deleted | link | link |
View tree structure of your file | link |
Title | Explanation | Code |
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timeit on the Command Line: Measure Execution Time of Small Code Snippets | link | link |
Time Command: Track the Time it Takes to Execute a File in Linux | link | |
htop | link |
Title | Explanation | Code |
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Python Shell as an Calculator: Grab the Last Output Using “_” | link | |
Find version of a Python library using pip list and grep | link | |
Conda rollback to the last revision | link | link |
How to Check Whether a Library is Installed | link | link |
pydash.chunk: Split Elements in a List into Groups of n Items | link | link |
Title | Explanation | Code |
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colorls: Beautify your ls Command with Color and Icons | link | |
Colorama: Produce a colored terminal text in Python | link |
Title | Explanation | Code |
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terminalizer: Record and Share your Terminal Sessions | link |
Title | Explanation | Code |
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Bash For Loop: Stop Staring at your Screen. Write a Bash For Loop instead | link | link |
Environment Variables: Save Private Information in your Local Machine | link | link |
Pet: A Command-line Snippet Tool That Allows you to Store your Favorite Commands | link | |
Loop through a list of data on your terminal | link | |
Multi-run command | link | |
Run multiple commands in one line of code | link |
Title | Explanation | Code |
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How to Strip Outputs and Execute Interactive Code in a Python Script | link | link |
rich.inspect: Produce a Beautiful Report on any Python Object | link | link |
Rich’s Console: Debug your Python Function in One Line of Code | link | link |
loguru: Print Readable Traceback in Python | link | link |
Icecream: Adding a Datetime Stamp to Python print | link | link |
Icrecream: Never use print() to debug again | link | link |
Pyfiglet: Make large and unique letters out of ordinary text in Python | link | link |
heartrate — Visualize the Execution of a Python Program in Real-Time | link | link |
Title | Explanation | Code |
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Stacer: Visualize the History of your CPU and Memory Usage | link |
Title | Explanation | Code |
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sherlock: Search for a Username Across 298 Popular Website | link | |
getme forecast: Get the Weather Forecast Through your Terminal | link | link |
Title | Explanation | Code |
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notion-py: Access and Edit your Notion App Using Python | link | link |
organize: Automate Organizing Files with Command Line | link | |
Schedule: Schedule your Python Functions to Run At a Specific Time | link | link |
notify-send: Send a Desktop Notification after Finishing Executing a File | link | link |
isort: Automatically Sort your Python Imports in 1 Line of Code | link | link |
knockknock: Receive an email when your code finishes executing | link | link |
snsscrape: Scrape Social Networking Services in Python | link | link |
Typer: Build a Command-Line Interface in a Few Lines of Code | link | link |
yarl: Create and Extract Elements from a URL Using Python | link | link |
interrogate: Check your Python Code for Missing Docstrings | link | link |
mypy: Static Type Checker for Python | link | link |
Title | Explanation | Code |
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Github CLI: Brings GitHub to your Terminal | link | link |
Pull one file from another branch using git | link | |
Download a file on Github using wget | link | link |
github1s: Read GitHub Code with VS Code on your Browser in One Second | link | |
PyGithub: Manage your Github resources using Python | link | link |
Astral: Organize your Github stars with ease | link | |
pip install -e: Install Forked GitHub Repository using Pip | link | link |
Title | Explanation | Code |
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Box: Using Dot Notation to Access Keys in a Python Dictionary | link | link |
decorator module: Write Shorter Python Decorators without Nested Functions | link | link |
virtualenv-clone: Create a Copy of a Virtual Environment | link | link |
Title | Explanation | Code |
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nbdime: Better Version Control for Jupyter Notebook | link | |
display in IPython: Display math equations in Jupyter Notebook | link | link |
Reuse the notebook to run the same code across different data | link | |
ngrok: Create a Public Server for your Jupyter Notebook in 1 Line of Code | link | link |
watermark: Get Information About Your Hardware and the Packages Being Used within Your Notebook | link | link |