GICSEH is the one of the best IT and Non-IT Training institute in Noida. It provides training in various courses. It provides python course in Noida. Here, we have discussed data structures in python. If your are satisfied and are looking for python course in Noida. Then join GICSEH.

1. DATA STRUCTURES
AND ALGORITHM IN
PYTHON
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2. DATA STRUCTURES AND
ALOGORITHM IN PYTHON
We will explore the fundamentals of data structures and
algorithms in Python W W W . G I C S E H . C O M

3. DATA STRUCTURES
Data structures are containers that hold
data in a specific format. They allow you to
store and organise data so that it can be
accessed and manipulated efficiently. Lists,
tuples, dictionaries, sets, and other data
structures are all built into the Python
programming language. Python course in
Noida is the best way to get knowledge.
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4. LISTS
One of the most popular data structures in Python is the list.
They can have components of various data types and are
mutable. You can add or remove elements from a list and
iterate over the list using a for loop. Python course in Noida
teaches one to getinsight into such lists.
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5. TURPLES
Lists and tuples are similar, but turples are immutable.Once
you create a tuple, you cannot modify its contents. Turples
are useful when you need to store a collection of related
values that should not be changed. To get more insight join
python course in Noida.
W W W . G I C S E H . C O M

6. DICTIONARIES
Dictionaries are another essential data structure in
Python. They allow you to store key-value pairs, and
you can use the keys to retrieve the values.
Dictionaries are commonly used to store data in a
structured format, such as JSON or XML.
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7. SETS
Sets in python are used to store a collection of
unique elements. They are similar to lists, but they do
not allow duplicates. On sets, you can apply set
operations like union, intersection, and difference.
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8. ALGORITHMS
Algorithms are a set of instructions that are used to
solve a specific problem. They are essential for
efficient problem-solving and optimization. Python
provides several built-in algorithms, including
searching and sorting.
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9. SEARCHING
ALGORITHMS
To locate a particular element in a data structure, searching
algorithms are used. Python provides two built-in searching
algorithms: linear search and binary search. Linear search is
a simple algorithm that iterates over the data structure until
it finds the target element. Binary search is a more efficient
algorithm that only works on sorted data structures.
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10. SORTING
ALGORITHMS
To arrange data in a particular order, sorting
algorithms are employed. Python provides several
built-in sorting algorithms, including bubble sort,
insertion sort, selection sort, and quicksort. Quicksort
is one of the most efficient sorting algorithms and is
commonly used in the industry.
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11. RECURSION
Recursion is another important algorithmic technique that is
commonly used in Python. Recursion is a technique where a
function calls itself to solve a problem. Recursive algorithms are
used when a problem can be broken down into smaller sub-
problems, and the solution to the larger problem can be obtained
by combining the solutions to the smaller sub-problems.
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