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.

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