Next: Data Visualization in Python
α αα£α α αα΅α αα¨α Pythonα α αα αα α₯αα΄α΅ visualize αα¨α α₯αα°ααα½α α₯αα«ααα’
Stay Tuned!
#DataVisualizationInPython
@python_pioneers
α αα£α α αα΅α αα¨α Pythonα α αα αα α₯αα΄α΅ visualize αα¨α α₯αα°ααα½α α₯αα«ααα’
Stay Tuned!
#DataVisualizationInPython
@python_pioneers
π Understanding Data Visualization in Python
πΉData Visualization ααα΅αα?
Data visualization α¨αααα α αα΅α αα¨α graphically ααα α αα³α ααα© α¨ααα΅ααα₯α α΅ ααα represent α¨ααα¨αα α΅ αα°α΅ ααα’
α Data Processing stages αα΅α₯ Data visualizationα α¨ααα£α α Data Output ααα Data interpretation α₯α Analysis α°α¨α αα ααα’
Data Output stage αα α₯αα° α₯α charts, graphs, α¨αα³α°αα΅ α¨visualization tools processed αα¨αα ααα¨α³α΅ α ααα ααα© α₯αα΅αα΅ααα₯ αα¨α±ααα’
Data Interpretation α₯α Analysis stage αα visualization α¨ α αα΅α αα¨α pattern ααα trend α₯αα΅αα¨α³α‘ α₯αα αα¨α αα α¨α°αα α¨α° αα³α α₯αα΅ααα΅α α«ααααα’
To be cont'd
#DataVisualization
#Data
@python_pioneers
πΉData Visualization ααα΅αα?
Data visualization α¨αααα α αα΅α αα¨α graphically ααα α αα³α ααα© α¨ααα΅ααα₯α α΅ ααα represent α¨ααα¨αα α΅ αα°α΅ ααα’
α Data Processing stages αα΅α₯ Data visualizationα α¨ααα£α α Data Output ααα Data interpretation α₯α Analysis α°α¨α αα ααα’
Data Output stage αα α₯αα° α₯α charts, graphs, α¨αα³α°αα΅ α¨visualization tools processed αα¨αα ααα¨α³α΅ α ααα ααα© α₯αα΅αα΅ααα₯ αα¨α±ααα’
Data Interpretation α₯α Analysis stage αα visualization α¨ α αα΅α αα¨α pattern ααα trend α₯αα΅αα¨α³α‘ α₯αα αα¨α αα α¨α°αα α¨α° αα³α α₯αα΅ααα΅α α«ααααα’
Good data visualization enhances understanding and communication, making complex data more accessible.
To be cont'd
#DataVisualization
#Data
@python_pioneers
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α Python, data visualization moduleα¦α½ α α₯ααα
ααα α°α¨ααα½ αα°α«αα’
1. Import the required library β Common libraries include matplotlib, seaborn, and plotly.
2. Prepare the data β Load or create a dataset.
3. Create the plot β Use functions to generate a visualization.
4. Customize the visualization β Add labels, titles, colors, or styles.
5. Display the visualization β Render the plot.
This process applies to various chart types like bar plots, histograms, and scatter plots, depending on the library and data used.
to be cont'd
#DataVisualization
#Data
@python_pioneers
1. Import the required library β Common libraries include matplotlib, seaborn, and plotly.
import matplotlib.pyplot as plt
import seaborn as sns
2. Prepare the data β Load or create a dataset.
data = [10, 20, 15, 25, 30]
3. Create the plot β Use functions to generate a visualization.
plt.plot(data)
4. Customize the visualization β Add labels, titles, colors, or styles.
plt.title("Simple Line Plot")
plt.xlabel("X-axis")
plt.ylabel("Y-axis")5. Display the visualization β Render the plot.
plt.show()
This process applies to various chart types like bar plots, histograms, and scatter plots, depending on the library and data used.
to be cont'd
#DataVisualization
#Data
@python_pioneers
π3β‘1
π1
βοΈ Chess Facts You Should Know! βοΈ
πΉ There are 400 possible positions after each player's first move. After two moves, this number jumps to 72,084!
πΉ The longest possible game is 5,949 moves without a draw by the 50-move rule.
πΉ The "en passant" rule allows a pawn to capture an opponent's pawn that has just moved two squares forward.
πΉ The fastest checkmate is called Foolβs Mate and happens in just 2 moves: 1. f3 e5 2. g4 Qh4#.
πΉ A pawn can promote to a queen, rook, bishop, or knight when reaching the 8th rankβchoosing a knight can deliver a surprise check!
#Chess
@python_pioneers
πΉ There are 400 possible positions after each player's first move. After two moves, this number jumps to 72,084!
πΉ The longest possible game is 5,949 moves without a draw by the 50-move rule.
πΉ The "en passant" rule allows a pawn to capture an opponent's pawn that has just moved two squares forward.
πΉ The fastest checkmate is called Foolβs Mate and happens in just 2 moves: 1. f3 e5 2. g4 Qh4#.
πΉ A pawn can promote to a queen, rook, bishop, or knight when reaching the 8th rankβchoosing a knight can deliver a surprise check!
#Chess
@python_pioneers
π1
α Python, data visualization moduleα¦α½ α α₯ααα
ααα α°α¨ααα½ αα°α«αα’
1. Import the required library β Common libraries include matplotlib, seaborn, and plotly.
2. Prepare the data β Load or create a dataset.
3. Create the plot β Use functions to generate a visualization.
4. Customize the visualization β Add labels, titles, colors, or styles.
5. Display the visualization β Render the plot.
This process applies to various chart types like bar plots, histograms, and scatter plots, depending on the library and data used.
#DataVisualization
#Data
@python_pioneers
1. Import the required library β Common libraries include matplotlib, seaborn, and plotly.
import matplotlib.pyplot as plt
import seaborn as sns
2. Prepare the data β Load or create a dataset.
data = [10, 20, 15, 25, 30]
3. Create the plot β Use functions to generate a visualization.
plt.plot(data)
4. Customize the visualization β Add labels, titles, colors, or styles.
plt.title("Simple Line Plot")
plt.xlabel("X-axis")
plt.ylabel("Y-axis")5. Display the visualization β Render the plot.
plt.show()
This process applies to various chart types like bar plots, histograms, and scatter plots, depending on the library and data used.
#DataVisualization
#Data
@python_pioneers
π―1
Python Pioneers: A Beginner's Guide πͺπΉ
α Python, data visualization moduleα¦α½ α α₯ααα
ααα α°α¨ααα½ αα°α«αα’ 1. Import the required library β Common libraries include matplotlib, seaborn, and plotly. import matplotlib.pyplot as plt import seaborn as sns 2. Prepare the data β Load or create a dataset. β¦
π1
Forwarded from Dagmawi Babi πͺπΉ
This is for everyone that is looking to start or progress through their programming journey!
If you are looking to start your programming journey, or have started it but don't have a clear goal or path on where and how you should move forward; I have compiled and made a really simple and straight forward path for you!
No, you don't need a mentor. You just need a computer and access to internet, that's all.
I have posted all the guides, resources and advices all in my community. Now you don't have to go around asking every dev or community to be your mentor or to give you a roadmap or something. This'll help exponentially.
Ofcourse my advices and plan will not fit all of you. You just have to use and apply the ones that apply to your scenario and go from there.
Here are the roadmaps and resources
β’ https://t.me/dagmawibabichat/37512/54629
Share it with your friends and community, for people who want to get into programming and for people who want to progress.
I hope it helps.π·
#Resources #Roadmap #Programming
@Dagmawi_Babi
If you are looking to start your programming journey, or have started it but don't have a clear goal or path on where and how you should move forward; I have compiled and made a really simple and straight forward path for you!
No, you don't need a mentor. You just need a computer and access to internet, that's all.
I have posted all the guides, resources and advices all in my community. Now you don't have to go around asking every dev or community to be your mentor or to give you a roadmap or something. This'll help exponentially.
Ofcourse my advices and plan will not fit all of you. You just have to use and apply the ones that apply to your scenario and go from there.
Here are the roadmaps and resources
β’ https://t.me/dagmawibabichat/37512/54629
Share it with your friends and community, for people who want to get into programming and for people who want to progress.
I hope it helps.
#Resources #Roadmap #Programming
@Dagmawi_Babi
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π3β€1β‘1
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Can You Guess the Number?
Just built a Random Number Guessing Game! Test your luck and see how many attempts it takes to find the secret number, you can even set the number of guesses as much as you need.
How it Works:
- The game generates a random number.
- You guess the number, and the game provides hints (higher/lower).
- It counts the number of guesses until you get it right.
A fun way to practice Python and improve logical thinking.
Watch the demo & try it yourself!
#Coding #GameDev #Programming #FunWithCode
@python_pioneers
Just built a Random Number Guessing Game! Test your luck and see how many attempts it takes to find the secret number, you can even set the number of guesses as much as you need.
How it Works:
- The game generates a random number.
- You guess the number, and the game provides hints (higher/lower).
- It counts the number of guesses until you get it right.
A fun way to practice Python and improve logical thinking.
Watch the demo & try it yourself!
#Coding #GameDev #Programming #FunWithCode
@python_pioneers