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# ---- FULL CONSOLIDATED SCRIPT FROM FLOCODE NEWSLETTER #068 - Structuring Engineering Calculations in Python | 01 - The Basics
# https://flocode.substack.com/

import math # Provides math constants (pi) and functions (sqrt)

# ---- FUNDAMENTAL INPUT PARAMETERS & ASSUMPTIONS ----
# Basic geometry, material properties, loads, factors per ACI 318-19

# Anchor Properties
da = 0.75           # Anchor diameter (in)

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"""
Flocode Newsletter #062 - Machine Learning for Engineers: When and How Should We Use it?

This script demonstrates a simple application of machine learning (ML) to a
structural engineering problem: predicting the required depth of a steel beam
based on its span and applied uniformly distributed load (UDL). It compares
three ML models (linear, non-linear, and deep non-linear neural networks)
with a traditional calculation based on the bending moment formula.

The key concept is that the ML models are trained on data *derived* from the

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# This code supports #052 - Python Dictionaries for Engineers
# It demonstrates the use of dictionaries, Pandas, and Polars for engineering data handling

import pandas as pd
import polars as pl
from datetime import datetime, timedelta
import random

# Dictionary storing material attributes
steel = {

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import json
import os
import shutil
import subprocess
import sys

from cookiecutter.main import cookiecutter

# Template Directory Structure
template = {

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import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from scipy.stats import norm

# Set the background color to black
plt.style.use('dark_background')

# Step 1: Define the prior distribution for the remaining fatigue life (in years)
prior_mean = 20  # Prior mean fatigue life in years

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# -----------------------------------------------------------------------------
# #027 - Data Structures for Civil/Structural Engineers: Pandas 101
# -----------------------------------------------------------------------------

'''
Hi everybody from the flocode newsletter 👋

This is all the code from article #027 - Data Structures for Civil/Structural Engineers:
Pandas 101

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# ==========================================================
# Prepare Pseudocode for Calculating Concrete Volume
# ==========================================================

FUNCTION calculate_concrete_volume(length, width, depth)

  # Calculate the area of the floor slab
  area = length * width

  # Calculate the volume of concrete required

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import numpy as np

# Constants
M = 140  # Moment at the cross-section (kN.m)
I = 102_000_000  # Moment of inertia in mm^4
y = np.array([-150, -100, -50, 0, 50, 100, 150])  # Distance from the neutral axis in mm

# Bending stress calculation
sigma = ((M * 1e6) * y) / I  # Convert M from kN.m to N.mm

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import numpy as np
import matplotlib.pyplot as plt

def plot_beam_diagrams(length, w):
    """
    Plot the shear force and bending moment diagrams for a simply supported beam.

    Parameters:
    - length: Length of the beam (m)
    - w: Magnitude of the uniformly distributed load (kN/m)

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import numpy as np
import matplotlib.pyplot as plt

# Beam parameters
length = 10  # Length of the beam (m)
w = 10  # Uniformly distributed load in kN/m 

# Functions
def shear_force(x):
    return w * (length / 2 - x)  # kN