Hello welcome to "Mastering Python Programming : From Beginner to Expert + 500 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. 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 structure
14. 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.
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 : 250 PROBLEMS WITH SOLUTIONS
Providing over 250 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 (IN PROGRESS)
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 : 10+ REAL TIME PROJECTS (IN PROGRESS)
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.
4. Email Automation with Python
Email 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 replies
5. Face Recognition
Face 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 operations
A 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
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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
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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.
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