
Explore numeric data types in Python, including integers and floats, learn variable declaration and assignment, and use comments and print statements to display and annotate outputs.
Explore how strings are sequences of characters enclosed in quotes and how to initialize them with a variable. Print demonstrates that the content inside quotes, including spaces, appears as defined.
Perform type checking in Python by inspecting data types such as integers and floats using the type function and the print statement.
Demonstrate type conversion in Python by using int and float to convert values, print results, and remove decimal parts when converting floats to integers.
Demonstrates floor division in Python with the // operator to round down to the nearest integer, as in 10 // 3 = 3 and 23 // 3 = 7.
Learn how to read user input in Python using the input function, convert strings to integers or floats with int() and float(), and print the results.
Explore boolean data types in Python, using true and false with case sensitivity. See variables like isSunny and isRaining and printing results to illustrate control flow and logical decisions.
Learn how to declare and initialize boolean variables in Python, assign true or false, and print results to the terminal.
Practice coding exercise 7: compare numbers by declaring num1 and num2 as 10 and 5, then print whether first is greater, showing true for 10 > 5 and false 1.
Explore truthy and falsy values in Python, where non-boolean values act as booleans. See how non-zero numbers and non-empty strings are true, while zero, none, or empty strings are false.
Prompt users for their first and last name using input, form a full name, convert it to uppercase, and print the length without spaces.
Learn how to check if a string is numeric in Python using the isdigit function, with input handling and examples showing true for 12345 and false for RZA.
Practice using python's endswith function to check if a string ends with a given character by inputting a text and an ending character and evaluating text.endswith(end).
Learn to convert the first letter of a string to uppercase using Python's capitalize function, by prompting user input and applying capitalize to the text variable.
Learn to capitalize the first letter of every word in a sentence using Python's title function by taking user input, storing it in a text variable, and printing the result.
Learn to convert a user-entered string to uppercase in Python using the upper function, assigning the text to a variable and printing the result.
Explore Python conditional statements by writing and evaluating if conditions that print messages when numbers meet criteria, using colon syntax and indentation to control blocks.
Read user input for temperature in Celsius, convert it to int, and display a message based on thresholds: hot day, nice day, or cold day.
Build a Python voting eligibility check by reading the user age, converting it to int, and using an if-else to print eligible or not eligible for ages 18 and up.
Learn to implement a conditional statement that checks if a number is between 10 and 20 inclusive or equal to 25, using and and or operators.
write a program that compares two numbers using comparison operators, printing whether x is less than, equal to, or greater than y, and explain the if-else flow.
Learn to truncate a floating point number to its integer part in Python using the math library and math.trunc, converting input to float, and printing the result.
Use Python and the math.ceil function from the math library to calculate the total pages needed for a given total lines and lines per page, rounding up.
Write a Python program to compute years to double an investment using the logarithm formula time = log(2)/log(1+rate). Read rate as a decimal and print the result.
Learn to use Python for loops to iterate numbers with the range function. The start is inclusive and the end exclusive, printing 1 through 5 with i.
Learn how nested loops work by using an outer loop and an inner loop to iterate over ranges, print i and j, and apply to multi‑dimensional data such as matrices.
Learn how the continue statement skips the current loop iteration and moves on to the next. A Python example shows it printing 1, 3, and 5 by skipping even numbers.
Count down from five to one using a while loop in Python, printing each value and decrementing by one until zero, then display blast-off.
Define and call functions in Python using def, name, parentheses, and arguments, distinguishing built-in and user-defined functions. Learn how functions reduce repetition and improve code readability.
Learn how global variables are declared outside functions and accessible from any function, illustrated by declaring a hello world message and printing it from inside and outside a function.
Explore how local variables shadow global ones in Python, and learn to use the global keyword to modify a global number from inside a function.
Define a function check_even_odd to determine if a given number is even or odd using modulo two, printing 'even' or 'odd', with examples like 10 and 7 to show efficiency.
Learn to use functions with default values in Python by defining default parameters, so calls with or without arguments print greetings like hello name or hello friend.
Use return statements to retrieve values from functions, and store them in variables. See how an add function returns a plus b and enables code reuse.
Create a Python function using def to convert Celsius to Fahrenheit with the formula Celsius * 9/5 + 32, returning and printing the result for sample temps.
Learn how to find the third largest number by converting a list to a set to remove duplicates, sorting the unique numbers, and indexing with minus three.
Learn to append two lists in Python using the plus operator; combine list one and list two, then the append list function returns list one plus list two.
Create a numbers list with 10, 20, 30; compute its sum with the sum function, assign it to total, and print the total (showing 60 for this example).
Learn to reverse a Python list by using the original list and a reversed version created with colon colon minus 1, then print both the original and reversed lists.
Learn to compute element-wise sum of two tuples in Python by using zip to iterate concurrently, summing elements with a for loop, and returning a tuple.
Create a tuple of favorite colors and print the first and last elements using zero-based and negative indexing. Demonstrate indexing from left and right to access colors.
Create and print sets in Python using the set function, including an empty set, a numbers set, and a mixed data set with int, float, and string elements.
Learn how to compute set difference in Python by subtracting sets or using the difference method to find elements in set 1 not in set 2 and print them.
Learn how to obtain unique values from a list by converting it to a set, which removes duplicates, and optionally convert the set back to a list for the output.
Compute the symmetric difference of two sets, yielding elements in either set but not in both, as shown with {1,2,3} and {3,4,5}, using Python's symmetric_difference.
Learn to find the second smallest number in a list by removing duplicates with a set, sorting the unique numbers, and selecting the second element.
Explore membership testing in Python sets using in and not in, verify if elements exist, and understand true/false outcomes with practical examples.
Explore Python set comprehension by building a set in one line with an expression and optional conditions. Create a set of squares from 1 to 5 using range and x**2.
Explore set comprehension in Python by building a set of even numbers from 1 to 10 using range and modulo; print the resulting evens 2, 4, 6, 8, 10.
Learn to extract unique words from a sentence by converting a split string into a set, which removes duplicates and prints the resulting unique words in Python.
Learn to add and update key-value pairs in Python dictionaries, using square brackets to add new keys and modify existing ones, then print the updated dictionary.
Remove items from a dictionary with the del keyword, as shown by deleting the city key from the person dictionary and printing the updated result.
Create and print a dictionary containing a person's name, age, and city, then iterate with a for loop using items() to print each key and value.
Remove a key-value pair from a Python dictionary using the del keyword, demonstrated on a car dictionary with brand, model, and year. See the updated dictionary without the removed key.
Learn formatted printing in Python using f-strings to create clean, readable output. See how to embed variables inside curly braces for concise string construction with the print function.
Learn to use named arguments in string formatting by passing name and messages, demonstrating arguments via curly braces and the format function, and printing personalized output.
Master Python text formatting by learning padding and alignment with format specifiers, enabling right, left, and center alignment within a specified width using print and curly brace syntax.
Welcome to the Python Bootcamp, a comprehensive hands-on course designed to help you master Python programming from the ground up. Whether you are a complete beginner or someone looking to refine your coding skills, this course is structured to provide a step-by-step learning experience covering fundamental concepts to advanced programming techniques.
Why Take This Course?
Python is one of the most popular programming languages in the world, known for its simplicity, readability, and versatility. It is widely used in web development, data science, artificial intelligence, automation, and software engineering. This course will not only teach you Python syntax and core programming concepts but also help you develop the problem-solving skills necessary to write efficient and scalable code.
Who Should Take This Course?
Absolute beginners who want to learn programming from scratch.
Students and professionals looking to build a strong foundation in Python.
Software engineers, data analysts, and AI enthusiasts who want to expand their skill set.
Anyone interested in automation, web development, or scripting using Python.
What You Will Learn
1. Python Basics
Understanding Python syntax and execution flow.
Variables, data types, and operators.
String manipulation and formatting.
2. Control Flow: Loops and Conditional Statements
Implementing if-else conditions for decision-making.
Using for and while loops for repetition.
Understanding nested loops and logical operators.
3. Functions and Modular Programming
Defining and calling functions in Python.
Function parameters, return values, and scope.
The importance of code reusability and modular programming.
4. Math Modules and Built-in Functions
Performing mathematical operations using the math module.
Exploring built-in functions for calculations and data manipulation.
5. Data Collections: Sets, Tuples, Lists, and Dictionaries
Understanding lists and their operations (sorting, indexing, slicing).
Using tuples for immutable collections.
Leveraging sets for unique elements and mathematical operations.
Working with dictionaries for key-value data storage.
6. Object-Oriented Programming (OOP)
Understanding classes and objects in Python.
Implementing encapsulation, inheritance, and polymorphism.
Creating real-world applications using OOP concepts.
7. Python Data Structure Modules and Packages
Importing and using built-in Python modules such as namedtuple, chainmap, counter, ordereddictionaries, heapq, and deque,.
Creating and organizing your own modules.
Understanding the Python package management system.
8. Python NumPy library
Array Creation & Manipulation: Creating arrays, reshaping, slicing, indexing, and broadcasting.
Mathematical & Statistical Functions: Element-wise operations, linear algebra, and aggregation functions.
Random Number Generation: Generating random samples, distributions, and setting seeds.
9. Python Matplotlib
Plotting Basics: Creating line plots, scatter plots, bar charts, histograms, and pie charts.
Customization & Styling: Setting titles, labels, legends, colors, markers, and line styles.
Subplots & Layouts: Creating multiple plots in one figure, adjusting layout, and using gridspec.
Axes & Annotations: Controlling axis limits, ticks, scales (log, linear), and adding annotations.
3D & Advanced Plots: Generating 3D plots, contour plots, heatmaps, and interactive visualizations.
10. Python Pandas
Data Structures: Understanding Series and DataFrame, creating and manipulating them.
Data Cleaning & Preprocessing: Handling missing values, duplicates, filtering, and transforming data.
Indexing & Selection: Using loc, iloc, boolean indexing, and multi-indexing.
Aggregation & Grouping: Performing group operations with groupby(), pivot tables, and agg() functions.
What Makes This Course Unique?
* Comprehensive Curriculum – Covers everything from basic syntax to advanced OOP and data structures.
* Hands-on Learning – Practice coding with real-world exercises and projects.
* Step-by-Step Approach – Each topic builds on the previous one for easy learning.
* No Prior Experience Required – Designed for absolute beginners.
* Practical Applications – Learn how to write clean, efficient, and reusable Python code.
By the end of this course, you will have the skills and confidence to build Python applications, automate tasks, and explore more advanced areas like data science, AI, or web development.
* Join this bootcamp and start your Python programming journey today!