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BCDay 5 | if ,elif,else conditions in python
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#Python Elif Syntax
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ANOn day #11 we learn about Elif in Python.
In Python, elif stands for "else if" and is used when you want to check multiple conditions after an initial if statement. It allows you to test several different possibilities without writing separate if statements for each one. You can use as many elif blocks as you need between an if and an else. The program checks each condition in order—once it finds one that's true, it runs the corresponding block of code and skips the rest. If none of the if or elif conditions are true, and you’ve included an else, then the else block runs. This makes elif useful for writing clean, readable decision-making logic in your code.
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#anotheracademy #coding #python
@another_academy
10.9K
ICاگر تازه برنامهنویسی رو شروع کردی، این پست رو ذخیره کن 📌
سؤالهات رو توی کامنتها بنویس 💬
و برای دوستت که پایتون یاد میگیره ارسال کن 🚀
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@iceschool.ir
756.7K
SHPython for data analyst:-
Basics of Python:
Python Syntax
Data Types
Lists
Tuples
Dictionaries
Sets
Variables
Operators
Control Structures:
if-elif-else
Loops
Break & Continue
try-except block
Functions
Modules & Packages
Object-Oriented Programming:
Classes & objects
Inheritance
Polymorphism
Encapsulation
Abstraction
Then jump to below python Libraries
Pandas:
What is Pandas & imports?
Pandas Data Structures (Series, DataFrame, Index)
Working with DataFrames:
Creating DFs
Accessing Data in DFs
Filtering & Selecting Data
Adding & Removing Columns
Merging & Joining in DFs
Grouping and Aggregating Data
Pivot Tables
Data Cleaning and Preparation:
Handling Missing & Duplicates values
Data Formatting
Data Transformation
Data Normalization
Data Visualization with Pandas:
Line Plots
Bar Plots
Scatter Plots
Histograms
Box Plots
Heatmaps
Time Series Analysis in Pandas:
Creating & Manipulating Time Series Data
Resampling Time Series Data
Moving Window Functions
Time Series Visualization
Input/Output Operations with Pandas
Reading & Writing CSV Files
Reading & Writing Excel Files
Reading & Writing SQL Databases
Reading & Writing JSON Files
Advanced Topics:
Handling Large Datasets with Dask
Handling Categorical Data with Pandas
Handling Text Data
Using Pandas with Scikit-learn
Performance Optimization with Pandas
File Handling:
Reading & Writing - Text & Binary Files
Working with CSV & JSON Files
Numpy:
What is NumPy & imports?
NumPy Arrays
NumPy Array Operations:
Creating Arrays
Accessing Array Elements
Slicing & Indexing
Reshaping, Combining & Arrays
Arithmetic Operations
Broadcasting
Mathematical Functions
Statistical Functions
Linear Algebra Operations
Advanced Array Operations:
Fancy Indexing
Boolean Indexing
Structured Arrays
Broadcasting Rules
Universal Functions
Masked Arrays
Working with Data in NumPy:
Reading & Writing Data in NumPy
Filtering & Sorting
Data Manipulation
Interpolation
Fourier Transforms
Window Functions
Performance Optimization with NumPy:
Vectorization
Memory Management
Multithreading Multiprocessing
Parallel Computing
NumPy with Other Libraries:
SciPy
Matplotlib
Pandas
Scikit-learScikit-learn
@shakra.shamim
68.9K
HAComplete playlist is available on YouTube !
@happycoding_with_prishu
9.9K
DEPython on lyrics #lyrics #python #coders
@de_cracker07
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VOComment "LINK" for the links.
You Will Never Struggle With Python Again
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@volkan.js
1.8K
DUPython uses 'j' or 'J' to denote the imaginary part of a complex number. Other symbols will result in a syntax error. #Python #ComplexNumbers #Programming #CodingTips #DataTypes
@durgajobsinfo
228
LADictionary example in python. #viral #python #tutorial
@laskentatechltd
773.9K
KANo laptop, no problem
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Day 1: Sign up and explore the interface, select your preferred language (e.g., Python).
Day 2: Complete “Basic Concepts” lesson including print statements and syntax.
Day 3: Learn about variables, data types, and user input handling.
Day 4: Practice basic operations and run simple calculator programs.
Day 5: Understand conditionals like if, elif, else and write small decision-based programs.
Day 6: Dive into loops (while, for) and try pattern or number-based exercises.
Day 7: Learn functions, parameters, and return values with examples.
Day 8: Explore lists and tuples with indexing and basic operations.
Day 9: Understand dictionaries and sets with use cases.
Day 10: Solve challenges from completed topics to reinforce logic.
Day 11: Start “Intermediate” section focusing on error handling and file operations.
Day 12: Practice OOP concepts like classes and objects.
Day 13: Take quizzes and daily challenges for revision.
Day 14: Explore Code Playground to write your own mini projects.
Day 15: Review progress, earn a certificate, and try another language track.
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Apps:
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2. Mimo – Bite-sized lessons, supports Python, JavaScript, etc.
3. Grasshopper – Google’s app to learn JavaScript visually.
4. Enki – Daily coding workouts and tech knowledge.
5. Programming Hero – Gamified Python learning.
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@kaabil.engineer
12.3K
LEPython topics for Aspiring Data Analyst👇
Share with your friends and Follow me for more 📌
➡ Basics of Python:
Python Syntax, Data Types, Lists, Tuples, Dictionaries, Sets,
Variables, Operators,
Structures:
if-elif-else, Loops, Break & Continue try-except block
Functions
Modules & Packages
Then jump to data analytics python libraries-
➡ Pandas:
Pandas Data Structures (Series, DataFrame, Index)
Working with DataFrames:
-> Creating DFs
-> Accessing Data in DFs Filtering & Selecting Data
-> Adding & Removing Columns
-> Merging & Joining in DFs
-> Grouping and Aggregating Data
-> Pivot Tables
Input/Output Operations with Pandas:
-> Reading & Writing CSV Files
-> Reading & Writing Excel Files
-> Reading & Writing SQL Databases
-> Reading & Writing JSON Files
-> Reading & Writing - Text & Binary Files
➡ Numpy:
What is NumPy & imports?, NumPy Arrays
NumPy Array Operations:
Creating Arrays
Accessing Array Elements
Slicing & Indexing
Reshaping, Combining & Arrays
Arithmetic Operations
Broadcasting
Mathematical Functions
Statistical Functions
Hope this helps you 🙏
#Python #topics #dataanalyst #dataanalytics #learnwidgiggs
@learnwidgiggs
6.1K
PYPython prints "🐍"...
Comment for link 🖇️
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