A comprehensive collection of important data science topics, including articles, videos, and sample code, that can serve as a valuable resource for learning and staying current on the latest techniques and developments in the field
To download the tips listed here, you can clone this repo.
git clone https://github.com/ghimiresunil/Uncovering-Insights-A-Daily-Journey-Through-the-World-of-Data-Science.git
- Python
- Pandas
- Testing
- Math Tools
- Machine Learning
- Natural Language Processing
- Statistics
- ML Journey from Beginning to Advance
| Title | Notebook |
|---|---|
| Enforce Type Hints in Python | 🔗 |
| pydash: The kitchen sink of Python utility libraries for doing "stuff" in a functional way | 🔗 |
| Pipe: Write clean python Code | 🔗 |
| How to Use Zip to Manipulate a List of Tuples | 🔗 |
| Python Tricks for Keeping Track of Your Data | 🔗 |
| The Right Way to Roll Out Library Updates in Python | 🔗 |
| F-strings offer greater versatility than commonly perceived | 🔗 |
Speed Up Your Python Programs with a Simple Change numba |
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| Make Dot Notation More Powerful in Python | 🔗 |
| An Elegant Way To Perform Shutdown Tasks in Python | 🔗 |
| Class Methods: What and when to use? | 🔗 |
| Hide Attributes While Printing A Dataclass Object | 🔗 |
| Simplify Your Functions With Partial Functions | 🔗 |
| DotMap: A better alternative to python dictionary | 🔗 |
Prevent Wild Imports With all in Python |
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Integer Comparasion between 256 and 257 |
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| Make a Class Object Behave Like a Function | 🔗 |
| Feature of Pickle | 🔗 |
| Specify Loops and Runs In %%timeit | 🔗 |
Don't Use time.time() To Measure Execution Time |
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| Use Slotted Class to Improve Your Python Code | 🔗 |
| Using Dictionaries In Place of If-conditions | 🔗 |
| Run Python Project Directory as a Script | 🔗 |
| Import your Python Package as Module | 🔗 |
| How to Use Lambda for Efficient Python Code | 🔗 |
| Boost Your Efficiency With Specialized Dictionary Implementations in Python | 🔗 |
| Tricks to Read, Create, and Run Multiple Files Automatically | 🔗 |
| Practices to Make Your Python Functions More Readable | 🔗 |
| Send Email using Python | 🔗 |
| Title | Notebook |
|---|---|
| Pandas vs Polars — Run-time and Memory Comparison | 🔗 |
| Avoid This Costly Mistake When Indexing A DataFrame | 🔗 |
| 70x Faster Pandas By Changing Just One Line of Code | 🔗 |
| Exclude the Outliers in Pandas DataFrame | 🔗 |
| Supercharge value_counts() Method in Pandas With Sidetable | 🔗 |
| Don't Create Conditional Columns in Pandas with Apply | 🔗 |
| Write Your Own Flavor Of Pandas | 🔗 |
| Create Pandas DataFrame from Dataclass | 🔗 |
| Introducing FugueSQL — SQL for Pandas, Spark, and Dask DataFrames | 🔗 |
| Alter the Datatype of Multiple Columns at Once | 🔗 |
| How to Read Multiple CSV Files Efficiently | 🔗 |
| Stop Using The Describe Method in Pandas. Instead, use Skimpy | 🔗 |
| Create Pivot Tables, Aggregations and Plots Without Any Code | 🔗 |
Display Progress Bar With Apply() in Pandas |
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| Python OOP: Explanation and uses of magic methods | 🔗 |
| Title | Notebook |
|---|---|
| DeepDiff — Recursively Find and Ignore Trivial Differences Using Python | 🔗 |
| Title | Notebook |
|---|---|
| SymPy: Symbolic Computation in Python | 🔗 |
| Title | Notebook |
|---|---|
| When using summary statistics, be caution before making any conclusions | 🔗 |
| Title | Resource |
|---|---|
| The Limitations Of Elbow Curve And What You Should Replace It With | 🔗 |
| Try This If Your Linear Regression Model is Underperforming | 🔗 |
| Theil-Sen Regression: The Robust Twin of Linear Regression | 🔗 |
| The Limitations of PCA which many Folks Often Ignore | 🔗 |
| How to encode categorical features with many categories? | 🔗 |
| Title | Notebook |
|---|---|
| Tokenize Tweets in Python | 🔗 |
| Title | Resource |
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| Implementation of Machine Learning Algorithm from Scratch | 🔗 |