
Learn the complete basics of Python to gain an advantage in modern tech fields such as artificial intelligence, machine learning, robotics, drone programming, and beyond.
Learn python syntax basics, including creating a python file and running it, printing hello world, and starting with variables.
Variables are containers for storing data, illustrated by initial score and a player name in Python. JavaScript declares variables with let, var, or const and prints them using console log.
Learn how to assign values to multiple variables at once in Python, using examples like player name, total score, and initial score, and print results efficiently.
Learn about Python's three numeric types—integer, float, and complex—how to declare them by assignment, print their types, and perform type conversion, including why complex cannot convert to int or float.
Explore Python data types by examining variables holding strings, integers, booleans, complex numbers, and floating point numbers. Learn how to determine a variable's type with type() and print(type(variable)).
Learn how Python represents strings with single or double quotes and master string slicing using indices and the colon, including that the end index is not included.
Master negative slicing in Python by using negative indices to slice from the end, such as from minus six to minus one, to print substrings.
Learn how to format strings in Python using the format method, combining strings and numbers, handling type errors, and using placeholders and indexing for clean outputs.
Learn Python lists, along with dictionaries, sets, and tuples, and practice self-directed learning with resources like W3Schools. Create, index, update, append, and remove list items, understanding ordering and duplicates.
Explore sets in Python: learn how sets are unordered, unindexed collections that ignore duplicates, created with curly braces, and how to iterate, test membership, and perform add or remove operations.
Explore Python dictionaries, learn how to store data as key-value pairs, access and update items, iterate over keys and values, and use update, pop, and values methods.
Explore the general concept of functions across Python and JavaScript, cover function creation with def in Python, the function keyword in JavaScript, and how indentation defines a function block.
Explore parameters and arguments in Python functions by passing data such as a name or birth year, with Python and JavaScript examples, including required arguments.
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Python Masterclass 2021: Python for Everything[AI+ML+WebDev]
Master the complete basics of Python that will help you widely to work with latest tech fields AI, ML, DS-ALGO, WebDev
So why learn Python?
Python is extremely versatile, with multiple uses
Just to name a few of its most common uses, Python is used in Data Mining, Data Science, AI, Machine Learning, Web Development, Web Frameworks, Embedded Systems, Graphic Design applications, Gaming, Network development, Product development, Rapid Application Development, Testing, Automation Scripting, the list goes on.
Python is used as an easier and more efficiently-written alternative to languages that perform similar functionalities like C, R, and Java. Therefore Python is growing in popularity as the primary language for many applications.
Python uses in Data Science and Machine Learning
Historically, the R programming language is most commonly used for data science. As Python code is considered easier to maintain and more scalable than R, Python has increased in popularity for data science – especially among professionals without advanced education in statistics or mathematical fields.
In the past few years, many packages have been developed for data analysis and machine learning using Python. This includes numpy and pandas, which allow users to understand and transform data; tensorflow, which is used to code machine learning algorithms; and pyspark, an API for working with Spark – a framework for easily working with large data sets.
These libraries enable your every day web developer to analyze large data trends, without having to learn the ins and outs of the more complex R.
What types of companies use Python?
Python is great for quick prototyping, hence is used extensively by startups to build their first minimum viable product (MVP). As a highly scalable language, Python is also used in the world’s largest and most sophisticated companies. Netflix discussed its uses of Python in everything from their Content Delivery Network (CDN) to their monitoring systems.
Google also loves Python programming for its solutions