
Explore Python fundamentals and its role in cloud computing, machine learning, and data science, and learn through essential libraries like Pandas, NumPy, Seabourne, and more.
Explore Python basics by coding a first program, understanding interactive vs script mode, identifiers, indentation, quotes, and essential operators, data types, and comments.
Explore decision making with if else, elif, and nested if statements in Python, evaluating conditions to execute the appropriate code blocks based on true or false outcomes.
Learn how to use Python while and for loops, including nested loops, to repeat code blocks. Explore control statements like break, continue, and pass to manage loop flow.
Set up a virtual environment to isolate project dependencies, install Flask and other libraries via a requirements file, and verify installations with a package list.
Learn to set up a Flask web app in Python, define routes, return responses, and run on localhost:5000, then add HTML templates with render_template for pages.
Configure a flask app database with sql alchemy, define a base model, and build a to-do list interface using two pages for listing and adding tasks.
Implement create, read, update, and delete functions for a to-do list in a web app, with id, title, and a complete boolean defaulting to false.
Learn to build and render web pages for a task management web app, featuring a dynamic task list with add, update, delete, and data persistence.
Explore Git jargon, including version control systems, repositories, and remotes such as origin and upstream on GitHub to enable global collaboration.
Learn to use git and github for source code management, including initializing a repository, git add and status, an ignore file, and pushing to a remote origin on master.
Explore python lists and essential operations for data handling, including indexing, slicing, concatenation, and repetition. Master common methods: append, insert, remove, pop, extend, count, index, sort, reverse, converting to list.
Explore how Python tuples differ from lists, emphasizing immutability, indexing, slicing, concatenation, and membership. Convert between tuples and lists and apply basic operations.
Learn how Python sets work, including creating sets, adding and removing elements, and performing union, intersection, symmetric difference, and difference operations, plus frozen sets.
Explore Python numbers and numeric types, including int, float, and complex, with type conversions. Learn core functions such as abs, floor, ceil, max, min, and round, along with random operations.
Learn Python file handling by opening, reading, writing, and closing files in text and binary modes, and using common open modes such as r, w, a, and r+.
Explore Python's file object attributes, including closed, mode, name, encoding, newline, and softspace, and how open() sets these properties for various modes like append.
Explore Python file object methods, including close and write, along with read, readline, readlines, seek, and truncate, and learn how these operations manage file offset, bytes, and lines.
Explore how read() and readline() read files in Python, comparing whole-file reads to line-by-line reads, including behavior with bytes, size limits, and practical demonstrations.
discover how to use the write() function to write text to a file and how content appears only after flush or close, plus a note on file objects and truncate.
Explore how to use r, w, a, r+, w+, and a+ modes in Python for reading, writing, and appending files, including combined read-write operations.
Explore Python file object methods close, flush, fileno, tell, and seek, and learn how they manage file descriptors and the cursor position during reading and copying.
Learn how to rename and remove files in Python using the os module, including importing the library and applying os.rename() and os.remove() in practical scripts.
Explore Python GUI basics using the standard library to build interfaces with widgets like buttons, entries, list boxes, and menus, and learn layout, colors, fonts, and active states.
Introduce common gui widgets, including buttons, labels, text entries, frames, canvases, check boxes, radio buttons, menus, list boxes, and spin boxes, with practical examples.
Explore using bitmap maps in Tkinter to display error, info, and warning icons in applications, compare map display methods, and learn through practical examples.
Explore Tkinter cursors by building a button interface and demonstrating how the mouse pointer changes to different icons like plus and minus, with practical demos.
Discover how to create a Tkinter button in Python, configure text and images, and bind a function to handle clicks. Observe how button states and colors respond to user interaction.
Create a simple counter that increments every second and updates a label. Use a button example to stop the counter and reset the value to zero.
Learn to implement a Tkinter checkbutton that allows multiple selections from several options. Understand on value and off value behavior, and how to bind a function to display selected choices.
Learn how to use the Tkinter radio button to select a programming language, and observe single-option selection among multiple choices, including the Java option.
Explore tkinter radiobuttons for single-choice options in Python, learn how to group options, assign values, and bind a function to the selected option in a GUI.
Learn to build a Tkinter menu with a file menu and cascading options, adding new, open, and about commands, a separator, and basic file operations in an interactive app.
Build a fixed-size calculator app with a display label, 0–9 digits, and operation buttons (+, -, ×, ÷), including clear and equals, wiring presses to evaluate expressions.
Learn how to use the entry widget to capture user input in a GUI, including single-line entry for names and a multi-line text widget, with buttons to display results.
Build a simple notepad app with a text area and a save button, implementing a save function that writes text to a file and verifies content by reopening.
Explore how tkinter's messagebox displays alerts and prompts within your applications, using examples of error and warning messages and yes/no questions.
Explore the tkinter canvas, a rectangular drawing area for shapes like rectangles, circles, polygons, and lines, with examples of color fills and basic coordinate drawing.
Explores the three geometry managers—pack, grid, and place—demonstrating how pack aligns widgets to edges, grid builds a table-like layout, and place positions widgets by x and y coordinates.
Learn to install python packages for data science, configure Python home, install pandas and seaborn with pip, and enable Python visualizations to begin coding.
Create a line chart using Python by importing data from an Excel source, selecting site visitors and average time, and customizing the chart with axis labeling and formatting options.
Learn to create a violin chart with seaborn in Python to visualize average time spent on a website across Asia, Africa, North America, Europe, South America and Australia.
Create a violin chart with seaborn in Python to explore the distribution of site visitors across continents, customize colors, and interpret center concentration and spread.
Install the jdk and set the path, then write a hello world class with a main method; compile to bytecode and run with the java command.
Explore the differences between java standard edition and java enterprise edition, including architecture, libraries, and when to choose standard versus enterprise for desktop and web applications.
Explore how the JVM, JDK, and JRE enable platform independence by compiling Java source into bytecode and executing it across diverse devices through the runtime environment.
Discover Java eleven's new features, including single file applications, local variable syntax for lambda parameters, and the epsilon garbage collector, plus IO API updates and removal of Java EE modules.
Learn how Java variables and data types work, including primitive types and static, local, and instance variables, plus type casting, basic output, and unicode support.
Explore Java operators, including unary, binary, shift, relational, logical, and assignment operators, with examples of increment and decrement, modulus, and ternary usage, and note operator precedence.
Learn how comments explain code, document logic, and guide future developers by using single line, multi line, and documentation comments such as Javadoc.
Explore arrays as a core data structure storing elements of similar types in a fixed size, using zero-based indexing and loops to access and display values.
Explains how the static keyword helps memory efficiency by sharing variables across a class, demonstrates static methods, blocks, and the main method, and shows this keyword usage.
Python is simple language enough for beginners, on the same time powerful enough for the professionals. It is basic weapon of data scientist which should be there. It is language for future programming. By the time you finish this course, you'll be a pro at Python!
This course is a one-stop-shop for everything you'll need to know to get started with Python, along with a few incentives.
1. Basic operation with List, Tuple, Dictionary, set
2. File Manipulation
3. Graphical User Interface using Tkinter,
and many more topics
Where is python used?
Python is used in Data Science and Machine Learning. Python is used for web development. Python is a powerful programming language that gets used in various technologies.
Where is Java used?
Java is used for Software development. Java is used for developing Android apps. Java is used for building Internet of Things and other applications and much more. Java is a powerful programming language that is based on Object Oriented programming model.
In the Next section you will learn Java Programming language. Here we would start right from the beginner level exploring fundamentals like JVM (Java Virtual Machine), JDK (Java Development Kit), JRE (Java Runtime Environment). We would realizing strengths and weakness of java as a programming language.
We would then learn the core java programming including conditionals- if else, switch case, loops- for, while, do while, identifiers, datatypes, operators, etc. And later we would be learning OOP (Object Oriented Programming) covering- class, object, constructor, inheritance, polymorphism, overriding, etc.
We would learn theoretical concepts in lectures and perform practical with practical exercises.
Java is today's language. Working with java you should also be able to develop graphical user interface application from it .Swing is one of the powerful GUI module of java. Swing is easy to use, easy to implement, easy to develop then AWT.
Learn Swing from beginners level to advance level.
This course is for those who want to make their own GUI application from java.
After completing this course you will be able to use many GUI elements like button, label, radiobutton, checkboxbutton, menu, progressbar, message, combobox, optionpane, and many more.
I hope you're excited to dive into the World of Programming with this course. Well, what are you waiting for? Let's get started with Python and Java! .
HAPPY CODING