Python A to Z Bootcamp Basic-DataScience-API(50 Hrs)

Explore free online coding tools and GitHub repositories, including a prototyping platform for code samples and the private versus public options to support Python setup.

Install Python from the official installer and choose the latest version, such as 3.7.4, on mac or linux, then use a free IDE or Jupiter notebook via browser.

Explore the final system set-up video, guiding you to locate and manage Python projects, access files, configure the Python interpreter, and run your first programs.

Write and run your first Python program, observe printing output, and understand how indentation, quotes, and whitespace affect execution while exploring basic data types like integers, strings, and characters.

Master Python naming conventions by distinguishing class names with initial uppercase and using lowercase with underscores for functions and variables, while avoiding reserved or special-behavior identifiers.

Explore Python keywords and learn why you should avoid using them as variable or function names, spot common errors, and understand how reserved words affect code.

Explore the basic syntax of python, including keywords, print, and function definitions. Master indentation and whitespace rules, and understand if statements and other operators in a braces-free code style.

Explore Python indentation rules, using lines to define blocks without braces, and learn common spacing guidelines for classes, functions, loops, and conditions to avoid warnings.

Learn how multi-line statements work in Python by using line continuation with backslashes, how the interpreter handles line endings, and how statements connect across lines.

Learn how to use quotations in Python, covering single, double, and triple quotes, handling apostrophes, and printing outputs correctly.

Learn how and why to use comments in Python to explain code, clarify the purpose of functions and calculations, and improve readability by adding guidance with the # symbol.

Explore assigning values to variables in Python and understand how data types are stored, with examples of integers, floats, and strings.

Explore how Python handles data types and memory, from how integers reference memory objects and dynamic allocation to dictionary initialization and retrieval.

Explore multiple assignment in Python by assigning a single value to several variables and observing how the values appear in program output.

Explains type conversion in Python, showing how to cast input to int, float, complex, and other types, and convert values to lists, tuples, sets, dictionaries, with validation basics.

Learn python arithmetic operators, including addition, subtraction, multiplication, division, and the power operator, using variable assignments and examples to understand correct syntax and avoid errors.

Learn how comparison operators compare numbers and strings, using greater than, less than, and equal checks, and apply them to form data checks and conditional logic.

Master how assignment operators work in python, with plus-equals, minus-equals, multiply-equals, and modulus examples, and see practical outputs alongside an introduction to logical operators.

Discover how logical operators and, or, and not control logic in Python, learn how true conditions require both sides, and see how negation affects loop behavior.

Learn how bitwise operators work on binary numbers, interpret binary representations, and perform shifts and complements to solve practical problems in data processing.

Explore the membership operator in Python, using in and not in to check values within a list. See a step-by-step example that updates and displays items based on presence.

Explore Python's identity operator and how it compares value and memory. See how the is operator determines object identity, revealing when identical values share memory or reside in different memory.

Learn the order of precedence in Python operators, from exponentials and unary operations to multiplication, division, addition, comparison, and assignment, with practical examples.

Explore decision making in python by using if statements to test expressions, print actions when true, handle indentation, and chain multiple if conditions for different outcomes.

Master nested if and else in Python, learning how true and false conditions control execution and how multiple checks flow through code with practical examples.

Explore how a for loop iterates over a sequence or list, executing a block of code for each item and printing values until the sequence ends.

Explore how while loops enforce repetition by testing a condition each cycle, using assignment and increment, with a practical Python example that prints numbers 0 through 4.

Explore the Python range built-in function by generating sequential numbers with range(10) from zero to nine, storing them in a list, and iterating with a loop.

Explore nested loops with while and for constructs, observe range-based looping from zero to five, and see how conditions, printing, and iterative logic illustrate a matrix structure and sorting algorithms.

Explore loop control in python by using for loops and the break statement to exit early, with examples showing how break stops iteration and controls printed output.

This video explains the continue statement in loops, contrasts it with break, and shows how continue skips an iteration, printing 1, 2, 4, 5.

explains the python pass statement within loop control, contrasts it with break and continue, and shows how pass does nothing while enabling selective value handling and printing.

Explore how iterators and generators manage memory by yielding values and using next to print sequences without explicit loops. Observe memory of previous values and yield producing successive outputs.

Explore Python numbers and type conversion, including integers, long integers, complex numbers, and conversions between strings and numeric types, with hexadecimal representations and real and imaginary parts.

Explore essential Python mathematical functions, including abs for absolute value, exponential (power), floor, and logarithmic functions, and max/min operations, with examples of logarithm bases.

Import random to access random functions and generate numbers within a range, using choice, shuffle, and uniform to select values, shuffle lists, and produce random floating numbers between two numbers.

Explore trigonometric functions with cosine and sine values and learn to convert angles to degrees through practical examples.

Learn to use Python's input function to receive user input, assign it to variables, and print results, highlighting runtime initialization and flexible value handling.

Learn to access and manipulate strings in Python by indexing characters, slicing ranges, looping through characters with for loops, using input, and checking length to drive conditions.

Learn to update strings in Python using concatenation, repetition, and string operators to control spacing, formatting, and simple output demonstrations.

Explore how Python handles characters in strings, including special characters, backspace, tab, and carriage return, with quick examples showing alignment and spacing effects.

Explore string formatting techniques, including concatenation, spacing, repetition, ranges, and membership tests, and apply placeholder and percentage formatting for strings and integers.

Explore string operators and format specifiers in Python, using print statements to apply integers, floating points, and exponential notation. Learn how to adjust characters and operators to display values needed.

Learn how to handle quotes in strings in Python, comparing single, double, and triple quotes and choosing the right quote type for sentences and paragraphs.

Explore python string functions with about 40 built-in options, including capitalize, center, replace, and padding, to simplify coding. Compare find and index, and test with isalpha and isdigit.

Learn how to create a list, access elements by index, update values, and delete items in python, with examples of printing and zero-based indexing.

Learn basic list operations in Python, including length, concatenation, adding values, duplication, indexing, slicing, and using max, with notes on tuples.

explore advanced list operations in Python, including membership tests with in, indexing, inserting, counting occurrences, and removing, popping, reversing, and sorting elements through practical examples.

Explore the basics of tuples by creating and accessing immutable sequences, understand that updating is not allowed, and learn to concatenate values to form new tuples.

Explore the basics of tuples in Python, learning basic operations, indexing and slicing, immutability, length, repetition, and simple comparisons to understand tuple behavior.

Learn to use built-in tuple functions like max, min, and len to analyze values, and convert between lists and tuples to manipulate data.

Learn how to create and access Python dictionaries, understand keys and values, and update or delete keys, with examples of printing and retrieving specific values.

Learn dictionary basics by checking length and the number of keys, accessing values such as name, age, and class, converting the dictionary to a string, and inspecting value types.

Explore advanced dictionary operations in Python, including clearing and copying dictionaries, converting pairs to items as tuples, and retrieving keys and values with items, keys, and values.

explore how Python handles date and time, including creating and printing readable local times, and using time and calendar to work with seconds since 1970 and weekday numbering.

Explore the python time module by examining its core functions for current time in utc and local time, time in seconds, readable formats, and examples using time.sleep and related utilities.

Explore Python date and time directives to format year, month, day, hour, minute, second, am/pm, week numbers, and time zones for precise printing with dedicated date and time formats.

Explore the calendar module to display year calendars, determine the first weekday, and inspect month layouts, including printing the calendar and first week details.

Explore how to define and call functions, pass inputs, and return results, while understanding function reuse, parameters, and the concepts of by reference and values.

Learn the four types of function arguments in Python, including positional, keyword, default values, and flexible multiple inputs with *args and **kwargs.

Explore anonymous functions using lambda expressions, learn how written statements return values, and distinguish local versus global variables with practical examples of function usage.

Explore Python models and functions, and understand local and global variables in context. See how a factory function works and how to print results from these models.

Learn how modules promote reusable code in Python by organizing programs into separate parts, using import statements and a calculator example to demonstrate functions for add, subtract, multiply, and divide.

Discover three ways to call a Python module, import a module, use dot notation to call its functions, and run specific functions with parameters to reuse code.

This lecture explains what exceptions are in Python and outlines different exception types, including input errors, name errors, index errors, syntax errors, and system errors, with practical handling guidance.

Learn how to create and handle exceptions in Python, using try and except blocks to control errors and keep the program flow intact, including division by zero.