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FastAPI Deployment Strategy for Production Grade Applications

ย Python in Plain English

Every Deployment requires a Unique Strategy, right? Here I share my intuition, you can adapt it to any API project. Continue reading on Python in Plain English

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Learn Python

โ–ถ๏ธ Basic Functions
Syntax | Variables | Conditions | Data Types | Numbers | Strings | Formatting | Operators | Generators | Decorators | Functions | Lists | Tuples | Sets | Dictionaries | Parameters | Arguments | Arrays | Linked Lists | Hash Tables | Binary Search Trees | Recursion | Sorting Algorithms | Exception Handling | Serialization 

๐Ÿš€ Advanced Functions
RegEx | Decorators | Lambdas | Iterators | Classes | Inheritance | Methods | List Comprehensions | Generator Expressions | PyPi | PIP | Conda

๐Ÿ’  Frameworks
Django | Flask | CherryPy | Bottle | Dash | | PyTest | Scrapy | PyScript

๐Ÿ—‚ Libraries
TensorFlow | Scikit-Learn | Numpy | Keras | PyTorch | SciPy | Pandas | Theano | Seaborn | OpenCV | Bokeh | Matplotlib | Plotly | BeautifulSoup | SymPy | Pillow

๐Ÿงฐ Other Tools
Selenium | PyCharm | PyTest | Jupyter Notebook | FakerPyGame | Tkinter 

 

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โ–ถ๏ธ Basics
Linear Algebra | Databases | Tabular Data | Time Series | Extract, Transform, Load | Data Formats | Regular Expressions | Important libraries |

๐Ÿ’ป Programming languages for Data Science
SQL | R | Python

๐Ÿ Python for Data Science
Syntax | Variables | Data Types | Functions | Numbers | Operators | Important libraries

๐Ÿ” Data Sources
Data Mining | Web scraping | Public Data Sets

๐Ÿ“Š Exploratory Data Analysis
Principal Component Analysis | Dimensionality Reduction | Normalization | Data Cleaning | Estimators | Feature Extraction | Sampling

๐Ÿ”ข Statistics
Probability Theory | Continuous Distribution | Summary Statistics | Estimation | Hypothesis Testing | Confidence Interval | Monte Carlo Methods

๐Ÿ“ˆ Data Visualization + tools
Storytelling | Charts | Dashboards | Power BI | Tableau | R | Dash | Seaborn | Matplotlib | Bokeh | Plotly

 

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