
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.
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.
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.
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.
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 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