Mastering Python Coding: From Beginner To Expert

A Comprehensive Course to Learn Python Coding Skills from Beginner to Expert

What you'll learn

You will master the Python programming language through our Interactive Step by Visual Learning content.

You will learn Programming Techniques & Secrets to became a Successful Professional Coder

You will Learn Coding through Interactive Coding examples explaining Code step by step & Provide hands on Coding experience on Virtual Lab environment.

You will learn concept through Step by step Rich Material on every topic to give better understanding of the concept

You will be provided 100+ Code Exercises as Assignment to Practice to improve Coding Skills & confidence working with real-time problems

You will be provided best Python Material Collection, Real Time Code examples, Projects & other Material Links

You will be provided Content on Interview Preparation, Questions and how to handle Interview tips & Tricks

You will be involved with 10 Real Time Projects covering complete Project Life Cycle in Automation, Game, App and Web development, Data Science and ML Etc

Requirements

Basic prior programming with any language is sufficient to learn this Course. Don’t worry if you don’t have as we have covered Coding fundamentals as well. Our Interactive, Step by Step Videos will explain complex concept in a simple lemon terminology.

Description

Hello welcome to "Mastering Python Coding: From Beginner to Expert" from AI Ninja World’s best Interactive Content creators on Python programming who have helped thousands of learners become proficient Python coders with their interactive content.Python is high level, multi-purpose & the Most popular Programming Language in the World with a large and active community of developers, vast number of libraries and frameworks used for a variety of purposes, including web development, scientific computing, data analysis, artificial intelligence, and automation.There are number of Courses out there on Python but this Course is a well-designed, Interactive with Real time Code examples, Projects, Material, Code Problems. This Course is designed by Mr Rama, a Coding Master & Programming Guru. Rama has 20 yrs of Programming Experience involved in Many enterprise Platforms and he loves Coding. In this Course he revealed the Secrets of Programming step by step. Python is one of the most in-demand programming languages in 2023 used in various emerging technologies such as Computer Vision, Artificial Intelligence, IOT, Cyber Security, Data Science, and many more areas. As a result, learning Python provides a wide range of job opportunities in these fields. This Course provides complete coding tricks & apply them on Virtual Lab.This course is best for individuals who are new to programming and want to build a strong foundation in Python. It is suitable for individuals from diverse backgrounds such as students, software developers, data analysts, data scientists, etc. The course covers the basics of programming, including data types, variables, loops, functions, and other fundamental concepts, providing a comprehensive introduction to Python to Mater the concepts with real time Coding examples & Projects.There are many reasons to learn Python, including:1. Versatility: Python is used for a wide variety of purposes, including web development, scientific computing, data analysis, artificial intelligence, and more.2. Ease of use: Python has a simple and user-friendly syntax, making it a great choice for beginners or those with limited programming experience.3. Large and supportive community: Python has a large and active community of users and developers who contribute to its development and offer support to each other.4. Strong libraries and frameworks: Python has a wealth of libraries and frameworks available, making it easy to perform complex tasks and build complex applications.5. Good for prototyping: With its simplicity and versatility, Python is a good choice for quickly prototyping and testing ideas.6. Strong third-party support: Python has a large and growing number of third-party libraries and tools that make it easy to extend its functionality. These libraries provide support for tasks such as machine learning, data visualization, and web scraping.7. Interoperability: Python is designed to be easily integrated with other programming languages and systems, making it a great choice for building complex applications that require interoperation with other technologies.8. High demand for Python developers: Python is one of the most popular programming languages, and there is high demand for developers with Python skills in the job market. This makes it a valuable skill to have for career growth and development..In this Course we will cover Core fundamentals of Python programming including1. Coding Introduction:It covers the fundamental concepts of coding, including what coding is, how code is executed by a computer to perform tasks or achieve outcomes, and the basics of Python programming language, including its syntax and rules.2. Installation & IDE: Step by step instructions to Install Python and how to Popular Python IDEs like Pycharm and also hands on how to use Google Colab3. Variables and data types: Store and manipulate data using variables and data types such as integers, strings, lists, and dictionaries.4. Operators and expressions: Use mathematical and logical operators to perform operations and manipulate data.5. Control flow: Make decisions and repeat actions using if-else statements, loops, and functions.6. Functions: Create reusable blocks of code to perform specific tasks.7. Exception handling: Handle errors and exceptions in a clean and efficient manner.8. File handling in Python: File handling in Python allows you to read from and write to files on your computer. There are several built-in functions in Python for file handling9. Data Structures using Python : Data structures in Python are a way of organizing and storing data10. Algorithms in Python : Algorithms are a set of step-by-step instructions or procedures used to solve a specific problem or perform a specific task. Python, as a versatile programming language, provides a rich ecosystem of libraries and tools for implementing various algorithms11. Object-Oriented Programming (OOP): Create custom objects and classes to model real-world concepts.12. Debugging: Debugging is the process of finding and fixing errors (also known as bugs) in your code. In Python, there are several techniques and tools you can use to debug your code:13. Modules & Packages: A module is a single Python file that contains definitions and statements. Modules can define functions, classes, and variables that can be used in other parts of your code. A package is a collection of modules that are organized in a directory structure14. Database Access : Python provides several libraries and modules for accessing and working with databases. We provide step by step Tutorial on how to connect, Retrieve and execute CRUD operations using MySQL Database.15. Introduction to APIs using Python: An API, or Application Programming Interface, is a set of protocols and routines for building software and applications. An API defines the way that different software components should interact and APIs allow for communication between systems. We provide Foundation on API basics, Libraries available in Python.Code Examples:15 Chapters & 50+ Topics covered with exclusive Code example Videos visually using Pycharm to provide complete Real Time Coding experience with step by step explanation.Material:Every topic is covered with detailed Material providing step by step Visually Rich & easy to understand content along with detailed examples.10+ Real-time Projects1. Web scraping with PythonYou will learn Web scraping with Python to extract data from websites using various libraries and tools such as Beautiful Soup, Scrapy, Selenium, and Requests to retrieve data from a website, parse and extract the relevant information, and store it in a structured format such as CSV, JSON or a database2. Working with Images in PythonReal-time & On demand image processing project using OpenCV, a popular computer vision library in Python. You can create an application that captures live video from a camera and applies various image processing techniques such as object detection, Classification etc3. Working with PDFs, Excel in PythonWorking with PDFs and Excel in Python is a popular project among data analysts and programmers. This project involves automating the extraction, analysis, and manipulation of data stored in PDF and Excel files using Python.4. Email Automation with PythonEmail Automation with Python is a project that involves automating the process of sending and receiving emails using Python programming language. This project can be used for various purposes such as sending newsletters, confirmation emails, and automated replies5. Face RecognitionFace recognition using Python is a project that involves detecting and recognizing faces in images or videos using computer vision and machine learning techniques. This project can be used for various purposes such as security systems, access control, and surveillance.6. To-do list app covering Database CRUD operationsA To-do list app using Python is a project that involves creating a simple application that allows users to create and manage tasks in a to-do list. This project can be used to help users organize their tasks and keep track of their progress.7. Chat Application:You can create a chat application that allows users to communicate in real-time using Python's networking libraries like Socket or Twisted. A Chat Application using Python is a project that involves creating a simple messaging system that allows users to communicate with each other in real-time. This project can be used for various purposes such as team collaboration, customer support, and social networking.8. Stock Price Predictor:You can use machine learning algorithms in Python to create a real-time stock price predictor. The project can use historical stock price data to predict future stock prices and display them in real-time.9. Social Media Sentiment Analysis:You can create a social media sentiment analysis tool using Python's Natural Language Processing libraries. This project will analyze social media data in real-time to determine the overall sentiment of a particular topic or event.10. Live Audio Processing:Building an application that performs real-time audio processing tasks such as speech recognition, voice synthesis, or audio effects using Python libraries such as PyDub, SpeechRecognition, or PyAudio

Overview

Section 1: Coding Introduction

Lecture 1 What is Coding

Lecture 2 How Code is executed on a Computer?

Lecture 3 [Material] What is Coding?

Lecture 4 [ Material ] How Code is executed on Computer?

Section 2: Python & IDE

Lecture 5 Python Introduction

Lecture 6 [ Material ] Python Introduction

Lecture 7 Python Installation

Lecture 8 [ Material ] Python Installation

Lecture 9 Integrated Development Environment

Lecture 10 [ Material ] Integrated Development Environment

Lecture 11 PyCharm IDE Installation

Lecture 12 [ Material ] PyCharm IDE Installation

Lecture 13 [ Interview Questions ] Python Introduction & Basics

Section 3: Python Syntax

Lecture 14 Statements and Comments

Lecture 15 [ Material ] Statements and Comments

Lecture 16 Code Blocks and Indentation

Lecture 17 [ Material ] Code Blocks and Indentation

Lecture 18 Real-life Code Examples on Code Blocks, Indentation and Statements Comments

Lecture 19 Keywords and Identifiers

Lecture 20 [ Material ] Keywords and Identifiers

Lecture 21 Real-life Code Examples on Keywords Identifiers Functions and Input in Python

Lecture 22 [ Interview Questions ] Python Statements, Comments, Keywords and identifiers

Section 4: Python Functions

Lecture 23 Functions and User Input

Lecture 24 [ Material ] Functions and User Input

Lecture 25 Real-life Code Examples on Functions and Input in Python

Lecture 26 [ Interview Questions ] Functions and User Input in Python

Section 5: Python Operators and Expressions

Lecture 27 Operators and Expressions in Python

Lecture 28 [ Material ] Operators and Expressions in Python

Lecture 29 [ Interview Questions ] Operators and Expressions in Python

Section 6: Control Flow Statements in Python

Lecture 30 Conditional Statements

Lecture 31 [ Material ] Conditional Statements

Lecture 32 Iteration Statements

Lecture 33 [ Material ] Iteration Statements

Lecture 34 Real-life Code Examples on Conditional and Iteration Statements

Lecture 35 Project : Password Maker using Python

Lecture 36 [ Interview Questions ] Conditional Statements and Iteration Statements

Section 7: Variables and Data Types in Python

Lecture 37 Variables and Data Types in Python

Lecture 38 [ Material ] Variables and Data Types in Python

Lecture 39 Real-life Code Examples on how to use Variables and Data Types in Python

Lecture 40 Python Lists

Lecture 41 [ Material ] Python Lists

Lecture 42 Python Tuples

Lecture 43 [ Material ] Python Tuples

Lecture 44 Python Dictionaries

Lecture 45 [ Material ] Python Dictionaries

Lecture 46 Real-life Code Examples on Python Lists, Tuples and Dictionaries

Lecture 47 [ Interview Questions] Variables and Data Types in Python

Section 8: File Handling in Python

Lecture 48 File Handling in Python

Lecture 49 [ Material ] File Handling in Python

Lecture 50 Real-life Code Examples on File Handling using Python

Lecture 51 [ Interview Questions ] File Handling in Python

Section 9: Errors and Exception handling in Python

Lecture 52 Errors and Exceptions in Python

Lecture 53 [ Material ] Errors and Exceptions in Python

Lecture 54 Real-life Code Examples on Errors and Exception Handling in Python

Lecture 55 [ Interview Questions ] Errors and Exceptions in Python

Section 10: Data Structures using Python

Lecture 56 What are Data Structures? Types of Data Structures & Advantages?

Lecture 57 [ Material ] What are Data Structures? Types of Data Structures & Advantages?

Lecture 58 Array Data Structures in Python

Lecture 59 [ Material ] Array Data Structures in Python

Lecture 60 Real-life Code examples on Array Data Structures in Python

Lecture 61 Python Strings

Lecture 62 [ Material ] Python Strings

Lecture 63 Python Sets

Lecture 64 [ Material ] Python Sets

Lecture 65 Code Examples - Strings & Sets in Python

Lecture 66 [ Interview Questions ] Data Structures using Python

Section 11: Algorithms in Python

Lecture 67 What are Algorithms & Types of Algorithms

Lecture 68 [ Material ] What are Algorithms & Types of Algorithms

Lecture 69 Sorting and Searching Algorithms using Python

Lecture 70 [ Material ] Sorting and Searching Algorithms using Python

Lecture 71 Real-life Code Examples on Sorting and Searching Algorithms using Python

Lecture 72 [ Interview Questions ] Algorithms in Python

This course is best for individuals who are new to programming and want to build a strong foundation in Python. It is suitable for individuals from diverse backgrounds such as students, software developers, data analysts, data scientists, etc. The course covers the basics of programming, including data types, variables, loops, functions, and other fundamental concepts, providing a comprehensive introduction to Python to Mater the concepts with real time Coding examples & Projects