10 Python Lists Projects to help mastering basic data structures and algorithms

A List is one of the built-in data types in python. Natively, it is an object in python and has properties and methods predefined within the language. You can take a look at Lists’ built-in methods and properties in this post about Mastering basic data structures with lists. In this post, we will create **ten(10) Python console application projects. **These projects are meant to help beginners learn some ways of approaching computational problems using basic data structures to solve both simple to complex challenges.

These projects will help beginners as well as intermediate python developers create functions that accepts lists as source of data to solve the challenges put forward.

TABLE OF CONTENTS

  1. finding the largest number in a list
  2. finding the second largest number in a list
  3. putting odd and even numbers into two different lists
  4. merging two lists and sorting it
  5. sorting list according to length of elements
  6. removing duplicate elements from a list
  7. program to read a list of words and return the length of the longest one
  8. A program to generate random numbers from 1 to 20
  9. A program to get the frequency of the element in a list
  10. A program to count number of elements in a list between a specific range

#python #algorithms #data structures #python lists

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10 Python Lists Projects to help mastering basic data structures and algorithms

10 Python Lists Projects to help mastering basic data structures and algorithms

A List is one of the built-in data types in python. Natively, it is an object in python and has properties and methods predefined within the language. You can take a look at Lists’ built-in methods and properties in this post about Mastering basic data structures with lists. In this post, we will create **ten(10) Python console application projects. **These projects are meant to help beginners learn some ways of approaching computational problems using basic data structures to solve both simple to complex challenges.

These projects will help beginners as well as intermediate python developers create functions that accepts lists as source of data to solve the challenges put forward.

TABLE OF CONTENTS

  1. finding the largest number in a list
  2. finding the second largest number in a list
  3. putting odd and even numbers into two different lists
  4. merging two lists and sorting it
  5. sorting list according to length of elements
  6. removing duplicate elements from a list
  7. program to read a list of words and return the length of the longest one
  8. A program to generate random numbers from 1 to 20
  9. A program to get the frequency of the element in a list
  10. A program to count number of elements in a list between a specific range

#python #algorithms #data structures #python lists

Ray  Patel

Ray Patel

1619636760

42 Exciting Python Project Ideas & Topics for Beginners [2021]

Python Project Ideas

Python is one of the most popular programming languages currently. It looks like this trend is about to continue in 2021 and beyond. So, if you are a Python beginner, the best thing you can do is work on some real-time Python project ideas.

We, here at upGrad, believe in a practical approach as theoretical knowledge alone won’t be of help in a real-time work environment. In this article, we will be exploring some interesting Python project ideas which beginners can work on to put their Python knowledge to test. In this article, you will find 42 top python project ideas for beginners to get hands-on experience on Python

Moreover, project-based learning helps improve student knowledge. That’s why all of the upGrad courses cover case studies and assignments based on real-life problems. This technique is ideally for, but not limited to, beginners in programming skills.

But first, let’s address the more pertinent question that must be lurking in your mind:

#data science #python project #python project ideas #python project ideas for beginners #python project topics #python projects #python projects for beginners

Arvel  Parker

Arvel Parker

1593156510

Basic Data Types in Python | Python Web Development For Beginners

At the end of 2019, Python is one of the fastest-growing programming languages. More than 10% of developers have opted for Python development.

In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.

Table of Contents  hide

I Mutable objects

II Immutable objects

III Built-in data types in Python

Mutable objects

The Size and declared value and its sequence of the object can able to be modified called mutable objects.

Mutable Data Types are list, dict, set, byte array

Immutable objects

The Size and declared value and its sequence of the object can able to be modified.

Immutable data types are int, float, complex, String, tuples, bytes, and frozen sets.

id() and type() is used to know the Identity and data type of the object

a**=25+**85j

type**(a)**

output**:<class’complex’>**

b**={1:10,2:“Pinky”****}**

id**(b)**

output**:**238989244168

Built-in data types in Python

a**=str(“Hello python world”)****#str**

b**=int(18)****#int**

c**=float(20482.5)****#float**

d**=complex(5+85j)****#complex**

e**=list((“python”,“fast”,“growing”,“in”,2018))****#list**

f**=tuple((“python”,“easy”,“learning”))****#tuple**

g**=range(10)****#range**

h**=dict(name=“Vidu”,age=36)****#dict**

i**=set((“python”,“fast”,“growing”,“in”,2018))****#set**

j**=frozenset((“python”,“fast”,“growing”,“in”,2018))****#frozenset**

k**=bool(18)****#bool**

l**=bytes(8)****#bytes**

m**=bytearray(8)****#bytearray**

n**=memoryview(bytes(18))****#memoryview**

Numbers (int,Float,Complex)

Numbers are stored in numeric Types. when a number is assigned to a variable, Python creates Number objects.

#signed interger

age**=**18

print**(age)**

Output**:**18

Python supports 3 types of numeric data.

int (signed integers like 20, 2, 225, etc.)

float (float is used to store floating-point numbers like 9.8, 3.1444, 89.52, etc.)

complex (complex numbers like 8.94j, 4.0 + 7.3j, etc.)

A complex number contains an ordered pair, i.e., a + ib where a and b denote the real and imaginary parts respectively).

String

The string can be represented as the sequence of characters in the quotation marks. In python, to define strings we can use single, double, or triple quotes.

# String Handling

‘Hello Python’

#single (') Quoted String

“Hello Python”

# Double (") Quoted String

“”“Hello Python”“”

‘’‘Hello Python’‘’

# triple (‘’') (“”") Quoted String

In python, string handling is a straightforward task, and python provides various built-in functions and operators for representing strings.

The operator “+” is used to concatenate strings and “*” is used to repeat the string.

“Hello”+“python”

output**:****‘Hello python’**

"python "*****2

'Output : Python python ’

#python web development #data types in python #list of all python data types #python data types #python datatypes #python types #python variable type

August  Larson

August Larson

1624335780

How to Master Python for Data Science

Here’s the Essential Python you Need for Data Science

you’re embarking on your journey into data science and everyone recommends that you start with learning how to code. You decided on Python and are now paralyzed by the large piles of learning resources that are at your disposal. Perhaps you are overwhelmed and owing to analysis paralysis, you are procrastinating your first steps in learning how to code in Python.

In this article, I’ll be your guide and take you on a journey of exploring the essential bare minimal knowledge that you need in order to master Python for getting started in data science. I will assume that you have no prior coding experience or that you may come from a non-technical background. However, if you are coming from a technical or computer science background and have knowledge of a prior programming language and would like to transition to Python, you can use this article as a high-level overview to get acquainted with the gist of the Python language. Either way, it is the aim of this article to navigate you through the landscape of the Python language at their intersection with data science, which will help you get started in no time.

#python #data-science #programming #how to master python for data science #master python #master python for data science

Samanta  Moore

Samanta Moore

1621103940

SKP's Algorithms and Data Structures

Continuing on the Quick Revision of Important Questions for My Interviews. These Are Good Puzzles or Questions Related to Data Structures.

My Article Series on Algorithms and Data Structures in a Sort of ‘Programming Language Agnostic Way’. Few of the Algorithms and Data Structures in C, Few in C++, and Others in Core Java. Assorted Collection for Learning, Revising, Revisiting, Quick Refresh, and a Quick Glance for Interviews. You May Even Include them Directly for Professional or Open Source Efforts. Have Included Explanation Only for Few of These! Hope these turn out to be Really Helpful as per the Author’s Intention.

Data Structure — Interview Questions

#java #core java #data structures #dijkstra #core java basics #data structure using java #algorithms and data structures #java code examples #linked list in java #circular linked list