
Discover why programming lets you talk to machines and harness their speed. Learn why Python's versatility makes it ideal for data science, machine learning, and web apps, with hands-on practice.
Learn the best way to take this course with downloadable notes and exercises, Dropbox downloads, and a capstone project, while using the Q&A for help and working through questions.
Download and install the Anaconda distribution to get Python 3, explore the Spyder IDE, and note Python 2 versus Python 3 differences for this beginner course.
Learn how to use the print function in Python to display numbers, strings, expressions, perform arithmetic with /, //, and **, and control output with escape characters, newlines, and tabs.
Review Python basics by exploring variables and data types like ints, floats, and strings, perform simple arithmetic, and learn input and print operations as you prepare to write a program.
Practice coding problems by trying them on your own before checking the solution. First, ask for a circle radius, compute the area with pi r^2, and print the result.
Convert a user's Fahrenheit input to Celsius by casting the input to float, applying the (f - 32) * 5/9 formula, and printing the result.
Prompt users to enter two numbers, convert inputs to integers, and display their sum, illustrating printing with concatenation and string conversion.
Learn string manipulation in python by converting to upper or lower case and normalizing user input with lower. Build a season guessing game using if statements and proper indentation.
Practice hands-on python exercises that reinforce input handling and type conversion. Use if, elif, and else to validate ranges, convert inputs, and explore string length and swaps.
Revisit variables and for loops, incrementing with x = 5 and x += 1, then assign y = x to show that later changes to x don't affect y.
Explore Python list methods such as append, remove, reverse, extend, and index. See how these methods modify a list like My List and how the editor displays available list operations.
Master while loops in Python by showing how they run while a condition is true, contrast them with for loops, and demonstrate user input, lists, and f-strings.
Explore the modulus operator and its remainder with examples like 10 % 2; use it to get last digits, check even or odd, and understand fizzbuzz with range, memory efficiency.
Develop practical Python skills using for and while loops, input validation, and basic programs: counting ranges, reversing strings, printing times tables, computing mean, factorial, Fibonacci, and odd/even lists.
Explore dictionaries in Python: learn key-value pairs, fast lookups, and methods like get, keys, values, and items; count letters and visualize results with matplotlib.
Explore Python string methods, including split to divide strings into words and strip to remove surrounding whitespace, plus using in to search lists.
Explore how nested lists and dictionaries hold data, access inner elements, and iterate country data. Learn to extract capitals and languages and convert dictionaries to a data frame for analysis.
Check a capitals dictionary for a user input country, printing the capital or a not found message, and explore dictionaries for fibonacci, date time, and a card deck.
Learn how to work with Python files and functions by creating, opening, writing, reading, and closing text files, and using read lines and read line for line-by-line access.
Learn how to append content to a text file in Python using append mode and the with open context manager, then read and print the updated file contents.
Learn how Python functions return multiple values via tuples and unpacking, and how scope keeps function variables separate from the outer program; avoid mutable defaults by using None.
Practice building basic python functions such as sum_two, multiply with default parameter, and power with default, then perform file input output by writing, appending capitals, and copying file contents.
Explore how Python treats every item as an object, combining data and functions, and learn about classes, objects, and dot notation through ints, lists, and dictionaries.
Learn how the __init__ constructor initializes instance variables with arguments by binding them to self, creating unique name and age for each object.
Explore how class variables provide a shared state across all instances, while instance variables come from the constructor and self enables per-object access via dot notation.
Define methods inside a class and use self to reference the instance, enabling get_details to print the patient record and add_info to update conditions via dot notation.
Explore Python inheritance by deriving the infant class from the patient class, showing how the child inherits attributes and adds vaccinations. Use super to initialize the parent and override get_details.
Create a bank account class with a balance and methods for deposit, withdrawal, and display the balance. Learn object oriented programming using a constructor and self to manage data.
Discover essential Python habits: consult python.org docs and Stack Overflow, follow Pep eight for snake_case naming and code comments, plan on paper before coding, and emphasize testing and debugging.
Python for Absolute Beginners 2024
This Python course is different. It will not only teach you Python, it will give you a problem solving super-power using Python code! And that will make all the difference, especially if you are pursuing a career in data science, AI, web development, big data, web testing, or programming for smart devices in Python.
Have you always wanted to learn one of the world’s most popular programming languages? If so, this is the perfect course for you. It will teach you how to program in Python and help to prepare you for coding challenges frequently posed during job interviews.
In this comprehensive course, we will cover several key topics:
⁃ Why program? Why study Python?
⁃ How to install Python
⁃ Hands-on programming with strings
⁃ Print function
⁃ Variables
⁃ Conditionals
⁃ Loops
⁃ Data structures
⁃ Modules
⁃ Files
⁃ OOP and Classes and Objects
⁃ Time complexity
⁃ Big O
⁃ Stacks
⁃ Debugging
There are many exercises and projects throughout the course, some of our favourites are:
⁃ The Sierpinski Triangle
⁃ The Towers of Hanoi
⁃ And the Computer Vision capstone project
You'll also learn how to use python to validate credit card numbers, you'll be introduced to the data visualization and plotting package matplotlib, there's a short introduction to Pandas and you'll gain a thorough understanding of how to work with Jupyter notebooks.
In addition there is a section on Git and Github and you will learn how to work with virtual environments in python.
The author of this course, Giles McMullen-Klein, is one of the best-known Python and data science vloggers on YouTube where more than 500,000 subscribers follow his videos.
There are several reasons why this course is different and why Giles could be the perfect Python teacher for you:
· Engaging, informative and fun! Giles’ lectures are entertaining and will inspire you to learn Python
· Motivating ,enthusiastic and effective – Giles’ passion for coding in Python and teaching the language is infectious
· Develop a thorough understanding of Python
· Carefully crafted lectures and superb quality of production (Full HD videos) + animations and callouts
· Practice, practice, practice – the course contains dozens of exercises to help you master the Python programming concepts covered in the lessons
365 Careers’ team is very excited about this project. The creation of a Python course has been an ambition of ours for quite some time. but as we were not prepared to make any compromises on the quality of the course content, we needed to choose the right partner. Luckily, Giles was as excited about working with us as we were with him and together, after much hard, work we have created what we believe to be a first-class learning experience. We are confident that programming novices will benefit from Giles’ authenticity combined with our visual approach to teaching which includes our much-loved graphics and animations.
To date, employees from 80 of the Fortune 100 companies have taken our courses. 3,000,000 students have given us an average rating of 4.5 stars. And we are confident that this is the perfect course for you if you want to become a Python programmer.
Sounds great, doesn’t it? Are you ready for a life-changing adventure? If you are serious about learning Python, this is the only bootcamp you will need.
The course comes with a 30-day money-back guarantee. If you decide it wasn’t for you, you will be refunded in full (+keep all the downloaded resources free of charge)!
No risk for you, so go ahead, click the “Buy now” button and start your Python programmer journey today!