Node.js
A runtime environment executing JavaScript outside the browser
Python is a high-level, interpreted, general-purpose programming language that powers both web and desktop platforms. It supports multiple paradigms of coding including object-oriented, procedular, functional and imperative.
It's an extremely popular programming language on the charts, capable of being used in very sophisticated fields such as data science, machine learning, AI, and web development.
It's extremely easy to use and has a very gentle learning curve. If you start today, you'll be able to develop some rigorous programs in lesser than a week!
Python favours code readability via the offside rule — where a block of code is represented by an increased level of indentation as opposed to delimiters such as {}
(curly braces) used in languages such as JavaScript, PHP, C++ etc — which newbie developers find really convenient.
Moreover, the language offers a huge standard library to accomplish nearly any task one can think of. This is the reason why Python is referred to as a 'batteries-included' language. There are numerous extensions and packages also available that can really power up this already-powerful beast. We can develop GUIs; perform complex mathematical analysis; visualise data using graphs; process files; query databases; manipulate images; you name it!.
Python has a large developer community which actively works on the language making it even more amazing with every new update. If you would like to learn a programming language, make sure that Python is in your arsenal of skills!
No special prerequisites for this course.
This course aims at making you fluent with Python and able to code like a real Pythonista. It introduces to many aspects of Python, answers many common questions and puts you at the forefront in developing real-world Python programs.
Being specific, at the end of this course you will know:
'Hello World'
.if
, elif
, else
to make selection-based execution; and while
and for
to make iteration-based execution.int
and float
classes, how to round numbers, generate pseudo-random numbers, and operate on different number systems including binary, hexadecimal and octal.str
data class in detail, in particular you'll have knowledge on how to create strings; process strings using str
methods; what are raw strings; and so on.if
, elif
and else
statements, and how they enable selection-based execution of code, by means of checking a condition and proceeding likewise.set
class. You'll be able to create a set; add/remove elements from a set; and most importantly, perform common operations on sets such as union, intersection, difference, superset and subset checks, and much more.dict
class in Python to create dictionaries — a collection of key-value pairs. You'll know what are dictionary views and how to process items using numerous dictionary methods.In this unit, you'll get an introduction to the Python programming language, how to set it up on your computer, and how to get going with it. We'll cover most of the basics of the language including input/output, variables, control-flow statements, functions, and much more.
Here we learn how to work with numbers, in general, in Python. Specifically, we explore the two main numeric classes in Python — int
and float
; scientific notations; arithmetic operations; rounding numbers and much more. We also explore randomness via the random
module and how to work with binary, octal and hexadecimal numbers.
Strings are crucial to programming, and so are they to Python. In this unit, we get ourselves firm-footed on the concept of strings. We see how to create strings; solve character conflict problems; perform replication; and carry out a whole lot of processes on strings using string methods.
Programs can't be cool if the user can't control their flow. In this unit, we explore how to control execution in our Python programs using selection statements — if
, elif
and else
; and using loop statements — for
and while
.
Here, we see how to work with the most commonly used immutable sequence type in Python — the list
class. We start by getting a hands-on experience of lists, before moving on to explore list comprehensions — a superbly quick way to define lists — and list methods. Finally, we end the unit with a detailed chapter on list sorting.
In this unit, we get familiar to one of the most interesting data types in Python — sets. We see how to create sets; perform operations on them such as intersection, union; how to check for subsets, supersets and much more. Lastly, we explore methods of the set
class that enable many functionalities on Python sets.
In this unit, we get introduced to dictionaries in Python that can store data with given names. We see how to create dictionaries; when to create them; how to use dictionary views to retrieve given information from a dictionary; a bunch of methods of the dict
class and so on and so forth.
In this unit, we introduce ourselves to functions in Python. Out of the box, Python comes with numerous built-in functions to aid in common tasks such as sorting, arithmetic, string manipulation and much more. Here, we explore how functions work and how can we create our own functions. We also learn concepts such as code objects and closures. Lastly we explore lambda functions.
If you're having a hard time understanding a given concept in the course, feel free to reach out to me at bilal@codeguage.com
, describing the issue you're facing. I'll try my level best to help you out.
The courses on Codeguage are released while they are still under construction so that learners can get early previews. As I continuously work on adding more and more content to the courses, if a given topic isn't covered today, there's a high chance that it's already under way and will show up very soon. You can follow Codeguage on Twitter to be updated with all the latest content releases.
Write to me at bilal@codeguage.com
.
Let's get learning!
A runtime environment executing JavaScript outside the browser
The science and mathematics of reasoning