Python Programming: Beginner to Expert, 300+ Python Code Ex.

Hello welcome to “Mastering Python Programming : From Beginner to Expert + 300 Exercises” 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 including

PART – A : MAIN COURSE

1. 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 Colab

3. 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 handling

9. Data Structures using Python :Data structures in Python are a way of organizing and storing data

10. 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 algorithms

11. 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. 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.

PART-C : 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. I will also cover similar Videos on Advance features as part of Road map.

PART-D : 300 PROBLEMS WITH SOLUTIONS

Providing over 300 code examples for real-world problems is an essential aspect of this course, aimed at enhancing your experience and proficiency in dealing with practical challenges.

PART-D : MATERIAL

Every topic is covered with detailed Material providing step by step Visually Rich & easy to understand content along with detailed examples.

PART -E : REAL LIFE PROBLEMS WITH CODE EXAMPLE

· Python Daily Coding Challenge

· Grade Calculator to calculate the grade based on percentage

· Write a Python program that performs basic file management tasks

· Get synonyms from Thesaurus using python

· Get synonyms from Thesaurus using python

· Check website working status using requests in Python

· File and Exception Exercises in Python

· Display the Head of a File

· Display the Tail of a File Reading last 10 Lines

· Concatenate Multiple Files

· Concatenate Multiple Files

· List of Python File Methods with Examples

· Number the Lines in a File

· Find Word frequency in a text using Python

· Output CLI calendar using calendar Module

· Get file size and other properties using Python

· Design, Coding guidelines and Architecture Skills for Programmer

· Explain Design Principle DRY using a example with Python with OOPS

· Tkinter menu tick using Python

· Python Workbook with Exercises and Solutions

· Display Mailing Address

· Program that asks user for their name and responds with a greeting

· Multiple examples on working with Tuples in Python

· Remove all occurrences of a specific item from a list

· Tkinter_ToolTip using Python

· Python List Exercises and Examples

· Area of a Room

· Area of a Field

· Insert image on every page of a pdf using PymuPdf and Python

· Bottle Deposits

· Calculate Tax and Tip

· Sum of the First n Positive Integers

· 10 different For Loop exercises in Python

· Calculate total weight of the Widgets and Gizmos of Order

· Compound Interest

· Multiple Arithmetic Operations using 2 Numbers

· Find Fuel Efficiency using the given inputs

· Distance Between Two Points on Earth

· Making Change

· Height Units

· Distance Units

· Area and Volume

· Heat Capacity

· Open a website in default browser using Python

· Execute an external program

· Get user selected directory

· Find Volume of a Cylinder

· Find Free Fall

· Find Area of a Triangle

· Scrolled text reader using tkinter, Frame, INSERT, scrolledtext

· Compute the area of a triangle when the lengths of all three Side

· Python Strings and Operations

· Python Pandas Functions, Methods and Filters

· NumPy Properties, Tools , Functions, Methods

· NumPy Numerical Computing and Data manipulation methods

· Get user selected directory

· Check if directory exists, if not, create it in Python?

· Get system current date and time Python

· Copy & paste text to & from the clipboard

· Count how many files in a directory ?

· Convert a .Docx file to text using Python

· Get definitions for a word using PyDictionary ?

· Do a Google search and return results using Google Lib in Python?

· How to grab all links from a webpage using Python?

· Shutdown Windows using Python?

· Text to Speech using gTTS in Python?

· BBC News RSS Feed reader, news headlines from last 7 days

· How to read a .txt file inside a 7z folder using python?

· Build a simple audio player to play, pause, and stop audio file?

· Program reads an audio file and generates a visual representation

· What is Lambda Function in Python? How to use it with 20 Examples

· Lambda Function with examples of Database Filters & Operations

· Whois Domain look up

· Convert Web Page To Text File using Python

· Play Windows system sounds using Python

· Determine System Platform (Operating System ) using Python

· Convert Document To Text File using Python

· How to Extract Image Metadata in Python

· How to implement image filters using Python

· Create Tabbed Widget using tkinter

· Python str Class Methods with examples

· String substitution methods and examples using string.Template

· Using re a complete regular expression library with examples

· Using difflib Library in Python to compare sequences and differences

· Create User input dialog using tkinter

· Tk colour picker using Python

· Get URL’s From Sitemap BeautifulSoup

· Auto scroll huge pages in Twitter using Python

· Scrape Wikipedia info using BeautifulSoup

· Check if string is a palindrome

· Control A Desktop App Notepad using Python

· Calculate Number Of Words In A Text File using Python

· Create Right Click Menu For Tkinter using Python

· Play mp3 using Pygame using Python

· Show Current Time, In Hours And Minutes

· Password Generator using Python

· Search For File Type using Python

· Store Variables To File and retrieve

· Randomly shuffle string using Python

· Most common words used in a text file

· Empty Windows Recycle Bin using Python

· Get image type from header from Image

· Windows Screen Grabber using Python

· Print Today’s Date in proper readable format

· Create awesome GUI Date Picker using Python

· Create “Hello_world” in Flask

· Create Windows Pop-Up Notification using Python

· Send Email with attachment using Python

· List all running processes in System using Python

· Pass a parameter from command callback in Tkinter using lambda

· Extract JPEG’s from PDF using Python?

· Sort a list of names by surname in one line, using lambda

· Using Maketrans and translate to replace parts of strings

· Last Modified Date & size Of File using Python

· Unzip a zip archive using Python?

· Convert image to greyscale using Open CV and Python

· Detect usb drives on Windows Machine using Python

· OCR Text From Image using pytesseract

· Get version of Windows used in System using Python

· Display live webcam using Open CV

· Show start-up programs using python and WMI

· Zoom And Save Image using matplotlib in Python

· Take a screenshot V2-cross platform using pyscreeze

· Find Percent Free Space On Fixed Drives using Python

· Place Text On Image and save it using OpenCV

· Print Text On Webcam And Save Video using Open-

· Resize Image and save using Open-CV

· Rotate Image using CV2 in Python

· Crop Image and Save using CV2

· Text To Art using art Library in python

· Check how much Total RAM, FREE, Used and Percentage using python

· Sharpen Image using CV2 and Python

· Get total folder size using os in Python

· Get video file info using os Library in Python

· Demux audio from a video using ffmpeg and Python

· Remux audio back onto a video using ffmpeg and Python

· Convert almost any video format using ffmpeg in Python

· Convert almost any audio format using ffmpeg in Python

· Live video sketcher using Open CV

· Timelapse Video recorder using CV2 in Python

· Get Browser History using Python

· Body Mass Index Calculator using Python

· Open webcam in full screen mode using CV2 in Python

· Using Tkinters internal bitmaps and cursors using Python

· Validate email address using lepl in Python

· Masked password entry box using pyautogui in Python

· Tkinter toolbar icon menu in Python

· Show Images as HTML Gallery in Python

· Scrape Email Address from Text File using re in Python

· Create Photo border using Python

· Create Colour Sliders using tkinter in Python

· Excercises with Examples on Variables in Python

· List of Python Built in Data Types and Usage with Examples of each

· List of Python Operators and using them with one example of each

· List of control flow commands in Python along with examples

· What is Function? List of Function commands with Example in Python

· Various Input and output Options available in Python with Examples

· Complete List Operations with Examples

· Complete Tuples Operations with Examples

· Complete List of Methods of Dictionaries with examples

· Complete List of methods of Sets with Examples in Python

· How to Classes and objects covering all OOPS concepts using Python

· Explain Inheritance in OOPS using Python with 5 real Life Examples

· Explain Polymorphism in OOPS using Python with 5 real Life Examples

· Explain Encapsulation in OOPS using Python with 5 real Life Example

· Explain Abstraction in OOPS using Python with 5 real Life Example

· Explain various Exception handling methods with Code examples

· Explain Generators with 5 Real time Examples using Python?

· Explain Decorators with 5 Real time Examples using Python

· Explain Context managers with 5 Real time Examples using Python

· Explain Regular expressions with 5 Real life Use cases with Code ex

· Explain File handling with 5 Real life Use cases with Code example

· Working with dates and times with 5 Real life Use cases with Code ex

· Explain Multithreading with 5 Real life Use cases with Code example

· Explain Multiprocessing with 5 Real life Use cases with Code example

· Explain Networking with 5 Real life Use cases with Code example

· Explain Web scraping with real life example with Code using Python

· Explain JSON handling with real life example with Code using Python?

· Excercise:Explain Data serialization with real life example using Python?

· Explain debugging with real life example with Code using Python

· Explain Machine learning with Python with real life example ?

· Explain Deep learning with Python with real life example with Code

· Code Examples on AI (Data Science, NLP, Computer Vision and Machine Learning)

· File Handling Assignments with various Real life Problems in Python

· Natural language processing with real life example with Code

· Explain Image processing and computer vision with real life example?

· Explain Scientific computing with Python using Python

· Explain Text generation Python using Python with Real Life Example

· Explain Speech recognition with real life example using Python

· Explain Text summarization with real life example using Python

· Explain Language translation with real life example using Python

· Explain Recommendation systems with real life example using Python

· Recommendation systems are algorithms using Python?

· Explain Face recognition with real life example using Python

· Explain SciPy with real life example using Python

PART-F : 3 REAL TIME PROJECTS

1. Web scraping with Python

You 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 database

2. Working with Images in Python

Real-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 etc

3. Working with PDFs, Excel in Python

Working 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.

Few Keywords Covered in this Course

# Python syntax, # Python data types, # Python strings # Python lists, # Python dictionaries, # Python functions # Python classes and objects, # Python control flow (if statements, loops), # Python file I/O

# Python exception handling, # Python modules and packages, # Python libraries (e.g., NumPy, Pandas, Matplotlib)

# Python regular expressions, # Python debugging techniques, # Python virtual environments (e.g., virtualenv, conda)

# Python decorators, # Python generators, # Python multithreading and multiprocessing

# Python web frameworks (e.g., Django, Flask), # Python data analysis and visualization # Python Course

#python basics #python coding #python certification #colab python #python documentation #download python #django python #data structures in python #dataclass python #python editor #python for beginners #how to learn python #install python #python language #python list #python lambda #learn python #programming in python #python projects #python tutorial #python tutor #python quiz #python questions #vs code python

Final thought from Author

Rama’s love for Python and the tremendous career growth he has seen in the language has fueled his passion to create the best learning experience through his course. His goal is to create 100,000 Python experts who share his enthusiasm and drive for success, proving that pursuing what you love with passion always leads to triumph, regardless of financial gain.

Rating Distribution

• 1 stars: 2 votes
• 2 stars: 2 votes
• 3 stars: 10 votes
• 4 stars: 43 votes
• 5 stars: 119 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!