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39_40_Python and MongoDB Database		39_40_Python and MongoDB Database
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Python Roadmap 2022.pdf		Python Roadmap 2022.pdf
README.md		README.md
goa.xlsx		goa.xlsx
hello.py		hello.py
indore_weather.csv		indore_weather.csv
mumbai.txt		mumbai.txt
nyc_weather.csv		nyc_weather.csv
queens.txt		queens.txt
script.py		script.py
student.txt		student.txt

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README

Python-Roadmap

The Roadmap is divided into 30 Sections

Introduction and Basics of Python
Operators
Conditional Statements
While Loops
Lists
Strings
For Loop
Functions
Dictionary
Tuples
Set
Object-Oriented Programming
File Handling
Exception Handling
Regular Expression
Modules and Packages
Data Structures
Higher-Order Functions
Python Web Scrapping
Virtual Environment
Web Application Project
Git and GitHub
Deployment
Python Package Manager
Python with MongoDB Database
Building API
Statistics with NumPy
Data Analysis with Pandas
Data Visualization with Matplotlib
What to do Now?

1 | Introduction and Basics

Installation
Python Org, Python 3
Variables
Print function
Input from user
Data Types
Type Conversion
First Program

2 | Operators

Arithmetic Operators
Relational Operators
Bitwise Operators
Logical Operators
Assignment Operators
Compound Operators
Membership Operators
Identity Operators

3 | Conditional Statements

If Else
If
Else
El If (else if)
If Else Ternary Expression

4 | While Loop

While loop logic building
Series based Questions
Break
Continue
Nested While Loops
Pattern-Based Questions
pass
Loop else

5 | Lists

List Basics
List Operations
List Comprehensions / Slicing
List Methods

6 | Strings

String Basics
String Literals
String Operations
String Comprehensions / Slicing
String Methods

7 | For Loops

Range function
For loop
Nested For Loops
Pattern-Based Questions
Break
Continue
Pass
Loop else

8 | Functions

Definition
Call
Function Arguments
Default Arguments
Docstrings
Scope
Special functions Lambda, Map, and Filter
Recursion
Functional Programming and Reference Functions

9 | Dictionary

Dictionaries Basics
Operations
Comprehensions
Dictionaries Methods

10 | Tuple

Tuples Basics
Tuples Comprehensions / Slicing
Tuple Functions
Tuple Methods

11 | Set

Sets Basics
Sets Operations
Union
Intersection
Difference and Symmetric Difference

12 | Object-Oriented Programming

Classes
Objects
Method Calls
Inheritance and Its Types
Overloading
Overriding
Data Hiding
Operator Overloading

13 | File Handling

File Basics
Opening Files
Reading Files
Writing Files
Editing Files
Working with different extensions of file
With Statements

14 | Exception Handling

Common Exceptions
Exception Handling
Try
Except
Try except else
Finally
Raising exceptions
Assertion

15 | Regular Expression

Basic RE functions
Patterns
Meta Characters
Character Classes

16 | Modules & Packages

Different types of modules
Inbuilt modules
OS
Sys
Statistics
Math
String
Random
Create your own module
Building Packages
Build your own python module and deploy it on pip

17 | Data Structures

Stack
Queue
Linked Lists
Sorting
Searching
Linear Search
Binary Search

18 | Higher-Order Functions

Function as a parameter
Function as a return value
Closures
Decorators
Map, Filter, Reduce Functions

19 | Python Web Scrapping

Understanding BeautifulSoup
Extracting Data from websites
Extracting Tables
Data in JSON format

20 | Virtual Environment

Virtual Environment Setup

21 | Web Application Project

Flask
Project Structure
Routes
Templates
Navigations

22 | Git and GitHub

Git - Version Control System
GitHub Profile building
Manage your work on GitHub

23 | Deployment

Heroku Deployment
Flask Integration

24 | Python Package Manager

What is PIP?
Installation
PIP Freeze
Creating Your Own Package
Upload it on PIP

25 | Python with MongoDB Database

SQL and NoSQL
Connecting to MongoDB URI
Flask application and MongoDB integration
CRUD Operations
Find
Delete
Drop

26 | Building API

API (Application Programming Interface)
Building API
Structure of an API
PUT
POST
DELETE
Using Postman

27 | Statistics with NumPy

Statistics
NumPy basics
Working with Matrix
Linear Algebra operations
Descriptive Statistics

28 | Data Analysis with Pandas

Data Analysis basics
Dataframe operations
Working with 2-dimensional data
Data Cleaning
Data Grouping

29 | Data Visualization with Matplotlib

Matplotlib Basics
Working with plots
Plot
Pie Chart
Histogram

30 | What to do Now?

Discussions on how to process further with this knowledge.

Join the Python Core 2022 WhatsApp Group here:

https://chat.whatsapp.com/Fay4UDQo9ZcA2XpMK6biSF

Connect with me on these platforms:

GitHub: https://github.com/hemansnation

Twitter: https://twitter.com/hemansnation

LinkedIn: https://www.linkedin.com/in/hemansnation/

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Python Roadmap. Learn Python programming as your first programming language. Python for Absolute Beginners, Non-Tech Professionals, 15+ Projects, 30 Topics, 500+ Practice Questions, with Data Structures & Algorithms

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