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1. Learn Fundamentals:  Use W3Schools, FreeCodeCamp, or MDN for solid basics.

2. Watch and Code Along:  Follow YouTube tutorials to code in real-time.

3. Practice Regularly:  Build small projects to sharpen your skills.

4. Join Coding Communities:  Engage on platforms like X, Discord, and Reddit for support.

5. Use AI Tools Wisely: Leverage tools like ChatGPT responsibly to aid learning.

6. Master Git and Version Control:  Learn to manage your code effectively.

7. Stay Updated:  Follow tech blogs, newsletters, and podcasts.

8. Network:  Attend meetups, hackathons, and online coding events.

9. Explore Open Source:  Contribute to projects to gain experience.

10.Never Stop Learning:  Technology evolves—keep exploring new languages and frameworks.

Don't forget to React 🚀💗💥

100+ Practice Questions

      ❍ C/C++
      ❍ Python
      ❍ JavaScript
      ❍ Java
      ❍ C#
      ❍ Golang

➊  Simple Numbers

➀  Find a digit at a specific place in a number
➁  Find count of digits in a number
➂  Find the largest digit
➃  Find the 2nd largest digit
➄  Find the kth largest digit
➅  Find the smallest digit
➆  Find the 2nd smallest digit
➇  Find the kth smallest digit
➈  Find generic root (sum of all digits) of a number
➉  Reverse the digits in a number
➀➀  Rotate the digits in a number
➀➁  Is the number a palindrome?
➀➂  Find sum of 'n' numbers
➀➃  Check if a number is perfect square
➀➄  Find a number in an AP sequence
➀➅  Find a number in a GP sequence
➀➆  Find a number in fibonacci sequence
➀➇  Check number divisibility by 2, 3, 5, 9
➀➈  Check if a number is primary or not
20.  Given a number, print all primes smaller than it
➁➀  Check if a number is circular prime or not
➁➁  Find all prime factors of a number
➁➂  Find the GCD of 2 numbers
➁➃  Find the LCM of 2 numbers
➁➄ Find the factorial of a number
➁➅ Find the exponentiation of a number

➋ Unit Conversion

➀  Number Base (Binary, Octal, Hexadecimal, Decimal)
➁  Weight (gram, kg, pound)
➂  Height (cm, m, inch, feet)
➃  Temperature (centigrade, fahrenhite)
➄  Distance (km, mile)
➅  Area (m², km², acre)
➆  Volume (ltr, gallon)
➇  Time (sec, min, hour)
➈  Currency

➌  Calculator

➀  Loan EMI Calculator
➁  Fixed Deposit Returns Calculator
➂  Interest Calculator
➃  BMI Calculator
➄  Item Price (considering tax, discount, shipping)
➅  Tip Calculator

➍  Geometry

➀  Find distance between 2 points
➁  Given 2 sides of a right angle triangle, find the 3rd
➂  Find 3rd angle of a triangle when 2 are given
➃  Area of a triangle when 3 sides are given
➄  Area of a right angle triangle
➅  Perimeter of a Square
➆  Area of a Square
➇  Perimeter of a Rectangle
➈  Area of a Rectangle
➉  Circumference of a Circle
➀➀  Area of a Circle
➀➁  Circumference of a Semi-Circle
➀➂  Area of a Semi-Circle
➀➃  Area of a Ring
➀➄  Circumference of an Ellipse
➀➅  Area of an Ellipse
➀➆  Suface Area of a Sphere
➀➇  Volume of a Sphere
➀➈  Surface Area of a Hemisphere
20.  Volume of a Hemisphere
➁➀  Surface area of a Cube
➁➁  Volume of a Cube
➁➂  Surface area of a Cylinder
➁➃  Volume of a Cylinder

➎  Vector

➀  Find Scalar Multiplication of a vector
➁  Find addition/subtraction of vectors
➂  Find magnitude of a vector
➃  Find an unit vector along a given vector
➄  Find dot product of 2 vectors
➅  Find cross product of 2 vectors
➆  Check if 2 vectors are orthogonal

➏  Matrix

➀  Find the determinant of a matrix
➁  Find Scalar Multiplication of a matrix
➂  Find addition/subtraction of matrices
➃  Find the transpose of a matrix
➄  Find if 2 matrices are orthogonal
➅  Find inverse of a 2x2 and 3x3 matrix

➐  Set

➀  Find Union of 2 sets
➁  Find Intersection of 2 sets
➂  Find the Difference of 2 sets
➃  Find the Symmetric Difference of 2 sets
➄  Find if a set is subset/superset of another set
➅  Find if 2 sets are disjoints

➑  Special Numbers

➀  Strong Number
➁  Perfect Number
➂  Armstrong Number
➃  Harshad Number
➄  Kaprekar Number
➅  Lychrel Number
➆  Narcissistic Decimal Number
➇  Lucus Number
➈  Catalan Number
➉  Duck Number
➀➀  Ugly Number
➀➁  Abundant Number
➀➂  Deficient Number
➀➃  Automorphic Number
➀➄  Magic Number
➀➅  Friendly Pair Numbers
➀➆  Neon Number
➀➇  Spy Number
➀➈  Happy Number
20.  Sunny Number
➁➀  Disarium Number
➁➁  Pronic Number
➁➂  Trimorphic Number
➁➃  Evil Number
➁➄  Amicable Pairs

⬘ If you want to excel in programming, practice a lot.

Join for more: https://t.me/coderbroo

⬙ Problems based on numbers are easy to start with and they help in improving your analytical skills.

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10 Ways to Speed Up Your Python Code

1. List Comprehensions
numbers = [x**2 for x in range(100000) if x % 2 == 0]
instead of
numbers = []
for x in range(100000):
if x % 2 == 0:
numbers.append(x**2)

2. Use the Built-In Functions
Many of Python’s built-in functions are written in C, which makes them much faster than a pure python solution.

3. Function Calls Are Expensive
Function calls are expensive in Python. While it is often good practice to separate code into functions, there are times where you should be cautious about calling functions from inside of a loop. It is better to iterate inside a function than to iterate and call a function each iteration.

4. Lazy Module Importing
If you want to use the time.sleep() function in your code, you don't necessarily need to import the entire time package. Instead, you can just do from time import sleep and avoid the overhead of loading basically everything.

5. Take Advantage of Numpy
Numpy is a highly optimized library built with C. It is almost always faster to offload complex math to Numpy rather than relying on the Python interpreter.

6. Try Multiprocessing
Multiprocessing can bring large performance increases to a Python script, but it can be difficult to implement properly compared to other methods mentioned in this post.

7. Be Careful with Bulky Libraries
One of the advantages Python has over other programming languages is the rich selection of third-party libraries available to developers. But, what we may not always consider is the size of the library we are using as a dependency, which could actually decrease the performance of your Python code.

8. Avoid Global Variables
Python is slightly faster at retrieving local variables than global ones. It is simply best to avoid global variables when possible.

9. Try Multiple Solutions
Being able to solve a problem in multiple ways is nice. But, there is often a solution that is faster than the rest and sometimes it comes down to just using a different method or data structure.

10. Think About Your Data Structures
Searching a dictionary or set is insanely fast, but lists take time proportional to the length of the list. However, sets and dictionaries do not maintain order. If you care about the order of your data, you can’t make use of dictionaries or sets.