PyData Careers
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Python Data Science jobs, interview tips, and career insights for aspiring professionals.

Admin: @HusseinSheikho || @Hussein_Sheikho
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Python Logo Source Code


import turtle

t = turtle.Turtle()
s = turtle.Screen()
s.bgcolor("black")
t.speed(10)
t.pensize(2)
t.pencolor("white")



def s_curve():
    for i in range(90):
        t.left(1)
        t.forward(1)

def r_curve():
    for i in range(90):
        t.right(1)
        t.forward(1)

def l_curve():
    s_curve()
    t.forward(80)
    s_curve()

def l_curve1():
    s_curve()
    t.forward(90)
    s_curve()

def half():
    t.forward(50)
    s_curve()
    t.forward(90)
    l_curve()
    t.forward(40)
    t.left(90)
    t.forward(80)
    t.right(90)
    t.forward(10)
    t.right(90)
    t.forward(120) #on test
    l_curve1()
    t.forward(30)
    t.left(90)
    t.forward(50)
    r_curve()
    t.forward(40)
    t.end_fill()

def get_pos():
    t.penup()
    t.forward(20)
    t.right(90)
    t.forward(10)
    t.right(90)
    t.pendown()

def eye():
    t.penup()
    t.right(90)
    t.forward(160)
    t.left(90)
    t.forward(70)
    t.pencolor("black")
    t.dot(35)

def sec_dot():
    t.left(90)
    t.penup()
    t.forward(310)
    t.left(90)
    t.forward(120)
    t.pendown()

    t.dot(35)




t.fillcolor("#306998")
t.begin_fill()
half()
t.end_fill()
get_pos()
t.fillcolor("#FFD43B")
t.begin_fill()
half()
t.end_fill()

eye()
sec_dot()



def pause():
    t.speed(2)
    for i in range(100):
        t.left(90)
pause()
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Explore the world of Data Science through Jupyter Notebooksโ€”insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.

https://t.iss.one/DataScienceN
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The latest and the most up-to-date cyber news will be presented on PPHM HACKER NEWS.
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PyData Careers pinned ยซThe latest and the most up-to-date cyber news will be presented on PPHM HACKER NEWS. PPHM subscribers are the first people that receive firsthand cybernews and Tech news. You won't miss any cyber news with us. https://t.iss.one/pphm_HackerNewsยป
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modular programming exists in Python too. It helps us organize related code in a clean, maintainable, and scalable way. Letโ€™s learn how to do this step by step in Python.

---

Step 1: Create a Module File

Create a new file called string_utils.py and write related functions inside it:

# string_utils.py

def to_uppercase(s):
return s.upper()

def to_lowercase(s):
return s.lower()

---

Step 2: Use the Module in the Main File

Create another file called main.py and import the functions from string_utils:

# main.py

from string_utils import to_uppercase, to_lowercase

print(to_uppercase("hello")) # Output: HELLO
print(to_lowercase("WORLD")) # Output: world

---

Step 3: Run the Code

To run the program, just execute the following command in your terminal or in an IDE like VS Code:

python main.py

---

Practice:

Now itโ€™s your turn!

1. Create a new file called math_utils.py.
2. Define functions like add, subtract, and multiply inside it.
3. Import and test them in main.py.



โญ๏ธ https://t.iss.one/DataScienceQ
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