
Discover the basics of Python, including what Python is used for, a hello world example, variable assignment and naming rules, and Python comments.
Understand Python variable assignment: variables are created on assignment and can hold type, sometimes overwritten. Follow naming rules: start with a letter or underscore, and use alphanumeric characters and underscores.
Learn to use code comments in Python, including line comments with a hash, inline comments, and multiline comments with triple quotes, noting that the interpreter ignores them at runtime.
Explore integers as whole numbers in Python, assign them to variables like X, print to verify, and use the built-in type function to confirm they are of type int.
Represent non numerical information in Python with quotes and multiline triple quotes that preserve newlines and tabs. Cast numbers with the string constructor and note identical prints, but different types.
Explore control structures in python, using conditional statements and loops to run code conditionally and iterate over inputs. Compare while and for loops, and learn when to use each.
Explore casting between strings, ints, and floats, including truncation to ints. Ensure a string represents an integer to cast to int, and round controls precision.
Explore common Python string methods such as split, replace, and slicing, and learn to build readable strings with format while handling delimited data like csv.
Explore booleans in Python, including implicit truth values for strings, lists, and dicts, and compare implicit vs explicit true or false to understand how casting affects control flow.
Discover Python list operations, including slicing and len, appending and inserting, index-based updates, and list concatenation. Understand removing items by value or index and first-match behavior.
Explore adding, editing, and removing dictionary items in Python, including using del and pop to delete keys, while noting dictionaries have no intrinsic order.
Learn to organize Python code by splitting into multiple files and importing functions across modules. Explore importing from the standard library, getting user input, and handling errors.
Taking your first steps into the world of data science is intimidating enough. And if you have never written a line of code before, you may put off taking the plunge altogether. One of the hardest things when learning your first programming language is understanding what to ask when you have a problem. If you do not even know what to call those numbers separated by commas and surrounded by square brackets, how can you possibly know what to ask to find out how to modify them?
With Survival Python course, you’ll go from asking the right questions to navigating all kinds of code with ease.
Python is an easy-to-learn programming language that is ideal for those looking to explore careers in data science, web development, and network programming. Whether you want to know where to start when writing your own code, or want to know the most efficient way to utilize the code of others, Survival Python course has you covered.
From installation to data types, operators, control structures, and functions, this course will provide you the groundwork for all future data science courses. Survival Python assumes no prior coding experience and focuses only on the essentials to get you up and running as quickly as possible.
We start from the ground up and talk about everything from variable declaration to importing prebuilt modules. If you have worked with other programming languages but want a quick introduction to the basics of Python, this course is the perfect place for you. While this course assumes no prior programming experience, it is fast paced enough for developers who lack Python experience and want to learn the fundamentals in a methodical manner. You will finish this course with the knowledge and confidence to not only tackle all future Python-based courses, but position yourself as a leader in the field of data science.