Complete Road Map of Python Programming Basic to Advance

In this tutorial, you will see basic to advance roadmap for python programming.

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Step 1.Introduction

Introduction to Python
History of Python
Installation and Setup of Python
Applications and Features of Python
Career …


This content originally appeared on DEV Community and was authored by Ashish Yadav

In this tutorial, you will see basic to advance roadmap for python programming.

Visit My Blogs-->

Step 1.Introduction

  • Introduction to Python
  • History of Python
  • Installation and Setup of Python
  • Applications and Features of Python
  • Career in Python
  • Python vs R
  • Python vs Php
  • Python vs JavaScript
  • Compilers vs Interpreters
  • Flavours of Python
  • Python Environment Setup

Step 2.Basics Concept

  • Python Variables
  • Comments In Python:

      Single-line
      Multi-line
      Docstring
    
  • Newline in Python

  • Escape Sequences in Python

  • Python input and output

  • Data Types in Python:

      Numbers
      String
    
  • Python Operators:

      Arithmetic Operators
      Assignment Operators
      Comparison Operators
      Logical Operators
      Identity Operators
      Membership Operators
      Bitwise Operators
    
  • Type Conversion in Python

  • Booleans

  • Indentation

  • Python Conditional Structure:

      If
      Else
      If-else
    
  • Python Decision Structure:

    Switch-case in Python
    
  • Range() in Python

  • Python Looping Structure:

    For Loop
    While Loop
    
  • Break and Continue Statement

  • Python Strings:

    String Formatters and Escape Sequences
    String Functions and Operations
    The repr() Function
    

Step 3.Data Structure in Python

  • Python List:

    List Comprehension
    List Slices
    Operation of List
    List Function
    
    
  • Python Tuple:

    Tuple vs List
    
  • Python Dictionary

  • Python Sets

Step 4.Functional Programming

  • Pure Function
  • Immutable Data Structures
  • Functions in Python
  • Lambda Expressions
  • The filter() Function
  • The map() Function
  • The reduce() Function
  • Recursion Function in Python
  • Built-in Functions:

    exec()
    eval()
    
  • Decorators in Python

  • Closure in Python

  • Working with itertools

Step 5.Python Modules and Packages

  • Modules:

    Counter
    Defaultdict
    OrderedDict
    namedtuple
    Numeric Modules- math, decimal, random
    sys
    Generating Random Numbers
    
  • Packages:

    pip and PyPI
    Modules vs Package
    

Step 6.Exception Handling

  • Errors and Exceptions
  • Exception Handling
  • Finally Blocks
  • Testing with unittest
  • Assertion in Python

Step 7.File Handling

  • Opening and Closing Files
  • Reading and Writing Files
  • Managing Directories and Files
  • Renaming Files in Python
  • Copying Files in Python
  • Zipping Files in Python

Step 8.Advance Concept in Python

  • Python Regular Expressions
  • Text Analyzer
  • Metacharacters
  • Multithreading in Python
  • Packing and Unpacking Feature
  • Virtual Environments and Packages
  • The calendar Module
  • The Python Debugger
  • Pretty-Printing with pprint
  • CGI Programming with Python
  • Understanding urllibDeep Copy vs Shallow Copy
  • Assert Statements in Python

Step 9.Object Oriented Programming

  • Python Objects
  • Classes in Python
  • Init()
  • Methods in Python:

    Methods vs Functions
    Magic (Dunder) Methods
    
  • Magic Methods

  • Abstraction in Python

  • Abstract class

  • Concrete class

  • Access Specifiers in Python

  • Polymorphism in Python

  • Encapsulation in Python

  • Inheritance in Python:

    Single Inheritance
    Multiple Inheritance
    Multilevel Inheritance
    Hierarchical Inheritance
    Hybrid Inheritance
  • Python Operator Overloading
  • Python Function Overloading
  • Generators in Python
  • Iterators in Python
  • Properties in Python
  • Generators vs Iterators
  • The property Decorator
  • Serialization with pickle

Step 10.Popular Frameworks

Django
Flask
CherryPy
Selenium
Pyramid

Step 11.Best Python Libraries

1. Selenium
2. MoviePy
3. Pandas
4. Pygame
5. Tkinter

Read more-->

Step 12.Best Python Libraries For Machine Learning

1. NumPy
2. SciPy
3. Scikit-learn
4. Theano
5. Tensor Flow
6. Keras
7. PyTorch
8. Pandas
9. Matplotlib
10. Seaborn Python

Read more-->

Step 13.Python Projects for Beginners

Student Management System
University Management System
Contact Management System
Bank Management System
Contact Book Project in Django

Conclusion:

Thank you for reading this blog. I wish you the best in your journey in learning and mastering in Python Programming.


This content originally appeared on DEV Community and was authored by Ashish Yadav


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