Adds JavaScript roadmap (#1537)
* Add JavaScript roadmap project file * Make way for JavaScript roadmap * Add JavaScript roadmap on homepage * Add JavaScript roadmap image * Add content skeleton for javascript roadmap * Fix flicker issue on javascript roadmap * Fix broken build
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# Basic Syntax
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Setup the environment for python and get started with the basics.
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.w3schools.com/python/'>W3Schools - Python</BadgeLink>
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<BadgeLink colorScheme='red' badgeText='Watch' href='https://www.youtube.com/watch?v=kqtD5dpn9C8'>Python for Beginners - Learn Python in 1 Hour</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.tutorialspoint.com/python/python_basic_syntax.htm'>Python Basics</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://learnxinyminutes.com/docs/python/'>Learn X in Y Minutes / Python</BadgeLink>
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## Variables
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Variables are used to store information to be referenced and manipulated in a computer program. They also provide a way of labeling data with a descriptive name, so our programs can be understood more clearly by the reader and ourselves. It is helpful to think of variables as containers that hold information. Their sole purpose is to label and store data in memory. This data can then be used throughout your program.
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://realpython.com/python-variables'>Variables in Python</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.w3schools.com/python/python_variables.asp'>W3Schools — Python Variables</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/python-variables/'>Python Variables - Geeks for Geeks</BadgeLink>
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## Data Types
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Variables in Python can be of different data types. These data types can be text (`str`), numeric (`int`, `float`, `complex`), sequence (`list`, `tuple`, `range`), mapping (`dict`), set (`set`, `frozenset`), boolean (`boolean`), binary (`bytes`, `bytearray`, `memoryview`), or none (`None`).
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.w3schools.com/python/python_datatypes.asp'>Python Data Types</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://realpython.com/python-data-types/'>Basic Data Types in Python</BadgeLink>
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# Conditionals
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Conditional Statement in Python perform different computations or actions depending on whether a specific Boolean constraint evaluates to true or false. Conditional statements are handled by IF statements in Python.
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.guru99.com/if-loop-python-conditional-structures.html'>Python Conditional Statements: IF…Else, ELIF & Switch Case</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://realpython.com/python-conditional-statements/'>Conditional Statements in Python</BadgeLink>
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## Typecasting
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The process of converting the value of one data type (integer, string, float, etc.) to another data type is called type conversion. Python has two types of type conversion: Implicit and Explicit.
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.programiz.com/python-programming/type-conversion-and-casting'>Type Conversion and Casting</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/type-casting-in-python-implicit-and-explicit-with-examples/'>Type Casting in Python with Examples</BadgeLink>
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## Exceptions
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Python has many built-in exceptions that are raised when your program encounters an error (something in the program goes wrong). When these exceptions occur, the Python interpreter stops the current process and passes it to the calling process until it is handled. If not handled, the program will crash.
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://realpython.com/python-exceptions/'>Python Exceptions: An Introduction</BadgeLink>
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<BadgeLink colorScheme='blue' badgeText='Official Docs' href='https://docs.python.org/3/tutorial/errors.html'>Errors and Exceptions</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.programiz.com/python-programming/exception-handling'>Python Exception Handling</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.w3schools.com/python/python_try_except.asp'>Python Try Except</BadgeLink>
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# Functions
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In programming, a function is a reusable block of code that executes a certain functionality when it is called. Functions are integral parts of every programming language because they help make your code more modular and reusable.
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In Python, you define a function with the `def` keyword, then write the function identifier (name) followed by parentheses and a colon.
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.freecodecamp.org/news/python-functions-define-and-call-a-function/'>Python Functions – How to Define and Call a Function</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.w3schools.com/python/python_functions.asp'>Python Functions - W3Schools</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/python-functions/'>Python Functions</BadgeLink>
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<BadgeLink colorScheme='blue' badgeText='Official Docs' href='https://docs.python.org/3/library/functions.html'>Built-in Functions in Python</BadgeLink>
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# Lists, Tuples, Sets, and Dictionaries
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**Lists:** are just like dynamic sized arrays, declared in other languages (vector in C++ and ArrayList in Java). Lists need not be homogeneous always which makes it the most powerful tool in Python.
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**Tuple:** A Tuple is a collection of Python objects separated by commas. In some ways, a tuple is similar to a list in terms of indexing, nested objects, and repetition but a tuple is immutable, unlike lists that are mutable.
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**Set:** A Set is an unordered collection data type that is iterable, mutable, and has no duplicate elements. Python’s set class represents the mathematical notion of a set.
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**Dictionary:** in Python is an ordered (since Py 3.7) [unordered (Py 3.6 & prior)] collection of data values, used to store data values like a map, which, unlike other Data Types that hold only a single value as an element, Dictionary holds key:value pair. Key-value is provided in the dictionary to make it more optimized.
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
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<BadgeLink colorScheme='red' badgeText='Watch' href='https://www.youtube.com/watch?v=n0krwG38SHI'>Difference Between List, Tuple, Set and Dictionary in Python</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/differences-and-applications-of-list-tuple-set-and-dictionary-in-python/'>Differences and Applications of List, Tuple, Set and Dictionary in Python</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://jerrynsh.com/tuples-vs-lists-vs-sets-in-python/'>Tuples vs. Lists vs. Sets in Python</BadgeLink>
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# Python
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Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically-typed and garbage-collected.
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
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<BadgeLink colorScheme='blue' badgeText='Official Website' href='https://www.python.org/'>Official Website: Python</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.digitalocean.com/community/tutorials/how-to-write-your-first-python-3-program'>Tutorial Series: How to Code in Python</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://en.wikipedia.org/wiki/Python_(programming_language)'>Python Wikipedia</BadgeLink>
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# Arrays and Linked lists
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Arrays store elements in contiguous memory locations, resulting in easily calculable addresses for the elements stored and this allows faster access to an element at a specific index. Linked lists are less rigid in their storage structure and elements are usually not stored in contiguous locations, hence they need to be stored with additional tags giving a reference to the next element. This difference in the data storage scheme decides which data structure would be more suitable for a given situation.
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/linked-list-vs-array/'>Linked Lists vs Arrays</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://towardsdatascience.com/a-complete-guide-to-linked-lists-in-python-c52b6cb005'>A Complete Guide to Linked Lists in Python</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.freecodecamp.org/news/python-array-tutorial-define-index-methods/'>Python Array Tutorial</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/python-arrays/'>Python Arrays</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.edureka.co/blog/arrays-in-python/'>Arrays in Python</BadgeLink>
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<BadgeLink colorScheme='red' badgeText='Watch' href='https://www.youtube.com/watch?v=QJNwK2uJyGs'>Array Data Structure | Illustrated Data Structures</BadgeLink>
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<BadgeLink colorScheme='red' badgeText='Watch' href='https://www.youtube.com/watch?v=odW9FU8jPRQ'>Linked List Data Structure | Illustrated Data Structures</BadgeLink>
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# Heaps Stacks and Queues
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**Stacks:** Operations are performed LIFO (last in, first out), which means that the last element added will be the first one removed. A stack can be implemented using an array or a linked list. If the stack runs out of memory, it’s called a stack overflow.
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**Queue:** Operations are performed FIFO (first in, first out), which means that the first element added will be the first one removed. A queue can be implemented using an array.
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**Heap:** A tree-based data structure in which the value of a parent node is ordered in a certain way with respect to the value of its child node(s). A heap can be either a min heap (the value of a parent node is less than or equal to the value of its children) or a max heap (the value of a parent node is greater than or equal to the value of its children).
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://stephanosterburg.gitbook.io/scrapbook/coding/coding-interview/data-structures/heaps-stacks-queues'>Heaps, Stacks, Queues</BadgeLink>
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<BadgeLink colorScheme='red' badgeText='Watch' href='https://www.youtube.com/watch?v=I5lq6sCuABE'>Stack Data Structure | Illustrated Data Structures</BadgeLink>
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<BadgeLink colorScheme='red' badgeText='Watch' href='https://www.youtube.com/watch?v=mDCi1lXd9hc'>Queue Data Structure | Illustrated Data Structures</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/stack-in-python/'>Stack in Python</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://realpython.com/how-to-implement-python-stack/'>How to Implement Python Stack?</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/queue-in-python/'>Queue in Python</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://realpython.com/queue-in-python/'>Python Stacks, Queues, and Priority Queues in Practice</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.educative.io/answers/heap-implementation-in-python'>Heap Implementation in Python</BadgeLink>
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# Hash Tables
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Hash Table, Map, HashMap, Dictionary or Associative are all the names of the same data structure. It is a data structure that implements a set abstract data type, a structure that can map keys to values.
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
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<BadgeLink colorScheme='red' badgeText='Watch' href='https://www.youtube.com/watch?v=jalSiaIi8j4'>Hash Table Data Structure | Illustrated Data Structures</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.edureka.co/blog/hash-tables-and-hashmaps-in-python/'>Hash Tables and Hashmaps in Python</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://realpython.com/python-hash-table/'>Build a Hash Table in Python</BadgeLink>
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# Binary Search Trees
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A binary search tree, also called an ordered or sorted binary tree, is a rooted binary tree data structure with the key of each internal node being greater than all the keys in the respective node's left subtree and less than the ones in its right subtree
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='red' badgeText='Watch' href='https://www.youtube.com/watch?v=S2W3SXGPVyU'>Tree Data Structure | Illustrated Data Structures</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://blog.boot.dev/computer-science/binary-search-tree-in-python/'>Writing a Binary Search Tree in Python with Examples</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.section.io/engineering-education/implementing-binary-search-tree-using-python/'>How to Implement Binary Search Tree in Python</BadgeLink>
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# Recursion
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Recursion is a method of solving a computational problem where the solution depends on solutions to smaller instances of the same problem. Recursion solves such recursive problems by using functions that call themselves from within their own code.
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/recursion/'>Recursion in Python</BadgeLink>
|
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://realpython.com/python-recursion/'>Recursion in Python: An Introduction</BadgeLink>
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# Sorting Algorithms
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Sorting refers to arranging data in a particular format. Sorting algorithm specifies the way to arrange data in a particular order. Most common orders are in numerical or lexicographical order.
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The importance of sorting lies in the fact that data searching can be optimized to a very high level, if data is stored in a sorted manner.
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://realpython.com/sorting-algorithms-python/'>Sorting Algorithms in Python</BadgeLink>
|
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.tutorialspoint.com/python_data_structure/python_sorting_algorithms.htm'>Python - Sorting Algorithms</BadgeLink>
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# Data Structures and Algorithms
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A data structure is a named location that can be used to store and organize data. And, an algorithm is a collection of steps to solve a particular problem. Learning data structures and algorithms allow us to write efficient and optimized computer programs.
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.programiz.com/dsa'>Learn DS & Algorithms</BadgeLink>
|
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<BadgeLink colorScheme='red' badgeText='Watch' href='https://www.youtube.com/playlist?list=PLkZYeFmDuaN2-KUIv-mvbjfKszIGJ4FaY'>Data Structures Illustrated</BadgeLink>
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# Methods and Dunder
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A method in python is somewhat similar to a function, except it is associated with object/classes. Methods in python are very similar to functions except for two major differences.
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* The method is implicitly used for an object for which it is called.
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* The method is accessible to data that is contained within the class.
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Dunder or magic methods in Python are the methods having two prefix and suffix underscores in the method name. Dunder here means “Double Under (Underscores)”. These are commonly used for operator overloading. Few examples for magic methods are: __init__, __add__, __len__, __repr__ etc.
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.tutorialspoint.com/difference-between-method-and-function-in-python'>Method vs Function in Python</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/dunder-magic-methods-python/'>Dunder or magic methods in Python</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.tutorialsteacher.com/python/magic-methods-in-python'>Python - Magic or Dunder Methods</BadgeLink>
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# Inheritance
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Inheritance allows us to define a class that inherits all the methods and properties from another class.
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.w3schools.com/python/python_inheritance.asp'>Python Inheritance</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.javatpoint.com/inheritance-in-python'>Inheritance in Python</BadgeLink>
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# Classes
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A class is a user-defined blueprint or prototype from which objects are created. Classes provide a means of bundling data and functionality together. Creating a new class creates a new type of object, allowing new instances of that type to be made. Each class instance can have attributes attached to it for maintaining its state. Class instances can also have methods (defined by their class) for modifying their state.
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<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='blue' badgeText='Official Docs' href='https://docs.python.org/3/tutorial/classes.html'>Classes in Python</BadgeLink>
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/python-classes-and-objects/'>Python Classes and Objects</BadgeLink>
|
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<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.w3schools.com/python/python_classes.asp'>Python Classes and Objects</BadgeLink>
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# OOP
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In Python, object-oriented Programming (OOPs) is a programming paradigm that uses objects and classes in programming. It aims to implement real-world entities like inheritance, polymorphisms, encapsulation, etc. in the programming. The main concept of OOPs is to bind the data and the functions that work on that together as a single unit so that no other part of the code can access this data.
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|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://realpython.com/python3-object-oriented-programming/'>Object Oriented Programming in Python</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/python-oops-concepts/'>Python OOP Concepts</BadgeLink>
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# Regular Expressions
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A regular expression is a sequence of characters that specifies a search pattern in text. Usually such patterns are used by string-searching algorithms for "find" or "find and replace" operations on strings, or for input validation.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='blue' badgeText='Official Reference' href='https://docs.python.org/3/library/re.html'>Regular Expressions in Python</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://developers.google.com/edu/python/regular-expressions'>Python Regular Expressions</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='read' href='https://www.tutorialspoint.com/python/python_reg_expressions.htm'>Python - Regular Expressions</BadgeLink>
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# Decorators
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decorator is a design pattern in Python that allows a user to add new functionality to an existing object without modifying its structure. Decorators are usually called before the definition of a function you want to decorate.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.datacamp.com/tutorial/decorators-python'>Python Decorators</BadgeLink>
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||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/decorators-in-python/'>Decorators in Python</BadgeLink>
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# Lambdas
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Python Lambda Functions are anonymous function means that the function is without a name. As we already know that the def keyword is used to define a normal function in Python. Similarly, the lambda keyword is used to define an anonymous function in Python.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/python-lambda-anonymous-functions-filter-map-reduce/'>Python Lambda Functions</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.w3schools.com/python/python_lambda.asp'>Lambdas in Python</BadgeLink>
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# Iterators
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An iterator is an object that contains a countable number of values. An iterator is an object that can be iterated upon, meaning that you can traverse through all the values. Technically, in Python, an iterator is an object which implements the iterator protocol, which consist of the methods __iter__() and __next__() .
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.w3schools.com/python/python_iterators.asp'>Iterators in Python</BadgeLink>
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||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/iterators-in-python/'>Python Iterators</BadgeLink>
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|
||||
# Builtin Modules
|
||||
|
||||
Python interpreter has a number of built-in functions. They are always available for use in every interpreter session. Many of them have been discussed in previously. For example `print()` and `input()` for I/O, number conversion functions (`int()`, `float()`, `complex()`), data type conversions (`list()`, `tuple()`, `set()`) etc.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.digitalocean.com/community/tutorials/python-modules'>Python Modules</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.knowledgehut.com/tutorials/python-tutorial/python-built-in-modules'>Python - Built-In Modules</BadgeLink>
|
||||
|
||||
+8
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|
||||
# Custom Modules
|
||||
|
||||
Modules refer to a file containing Python statements and definitions. A file containing Python code, for example: `example.py`, is called a module, and its module name would be example. We use modules to break down large programs into small manageable and organized files. Furthermore, modules provide reusability of code.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='blue' badgeText='Official Reference' href='https://docs.python.org/3/tutorial/modules.html'>Python Modules</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/python-modules/'>Python Modules - Geeks for Geeks</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.programiz.com/python-programming/modules'>Modules in Python</BadgeLink>
|
||||
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|
||||
# Modules
|
||||
|
||||
Modules refer to a file containing Python statements and definitions. A file containing Python code, for example: `example.py`, is called a module, and its module name would be example. We use modules to break down large programs into small manageable and organized files. Furthermore, modules provide reusability of code.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='blue' badgeText='Official Reference' href='https://docs.python.org/3/tutorial/modules.html'>Python Modules</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/python-modules/'>Python Modules - Geeks for Geeks</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.programiz.com/python-programming/modules'>Modules in Python</BadgeLink>
|
||||
@@ -0,0 +1,3 @@
|
||||
# Advanced Topics
|
||||
|
||||
Now that you have covered the basics of Python, let's move on to some advanced topics. In this section, you will be learning about things like OOP, Lambdas, Decorators, Iterators, Modules, and more.
|
||||
@@ -0,0 +1,8 @@
|
||||
# Git
|
||||
|
||||
[Git](https://git-scm.com/) is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink badgeText='Watch' href='https://www.youtube.com/watch?v=zbKdDsNNOhg'>Version Control System Introduction</BadgeLink>
|
||||
<BadgeLink badgeText='Watch' href='https://www.youtube.com/watch?v=SWYqp7iY_Tc'>Git & GitHub Crash Course For Beginners</BadgeLink>
|
||||
<BadgeLink badgeText='Watch' href='https://youtu.be/Y9XZQO1n_7c?t=21'>Learn Git in 20 Minutes</BadgeLink>
|
||||
@@ -0,0 +1,8 @@
|
||||
# Version Control Systems
|
||||
|
||||
Version control systems allow you to track changes to your codebase/files over time. They allow you to go back to some previous version of the codebase without any issues. Also, they help in collaborating with people working on the same code – if you’ve ever collaborated with other people on a project, you might already know the frustration of copying and merging the changes from someone else into your codebase; version control systems allow you to get rid of this issue.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink badgeText='Watch' href='https://www.youtube.com/watch?v=zbKdDsNNOhg'>Version Control System Introduction</BadgeLink>
|
||||
<BadgeLink badgeText='Watch' href='https://www.youtube.com/watch?v=SWYqp7iY_Tc'>Git & GitHub Crash Course For Beginners</BadgeLink>
|
||||
<BadgeLink badgeText='Watch' href='https://youtu.be/Y9XZQO1n_7c?t=21'>Learn Git in 20 Minutes</BadgeLink>
|
||||
@@ -0,0 +1,11 @@
|
||||
# GitHub
|
||||
|
||||
[GitHub](https://github.com) is a provider of internet hosting for software development and version control using Git. It offers the distributed version control and source code management functionality of Git, plus its own features.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
|
||||
<BadgeLink badgeText='Read' href='https://docs.github.com/en/get-started/quickstart/hello-world'>GitHub: Quickstart</BadgeLink>
|
||||
<BadgeLink badgeText='Watch' colorScheme='yellow' href='https://www.youtube.com/watch?v=w3jLJU7DT5E'>What is GitHub?</BadgeLink>
|
||||
<BadgeLink badgeText='Watch' colorScheme='yellow' href='https://www.youtube.com/watch?v=wpISo9TNjfU'>Git vs. GitHub: What's the difference?</BadgeLink>
|
||||
<BadgeLink badgeText='Watch' colorScheme='yellow' href='https://www.youtube.com/watch?v=RGOj5yH7evk'>Git and GitHub for Beginners</BadgeLink>
|
||||
<BadgeLink badgeText='Watch' colorScheme='yellow' href='https://www.youtube.com/watch?v=eulnSXkhE7I'>Git and GitHub - CS50 Beyond 2019</BadgeLink>
|
||||
@@ -0,0 +1,8 @@
|
||||
# GitLab
|
||||
|
||||
[GitLab](https://gitlab.com) is a provider of internet hosting for software development and version control using Git. It offers the distributed version control and source code management functionality of Git, plus its own features.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
|
||||
<BadgeLink badgeText='Visit' colorScheme="green" href='https://gitlab.com/'>GitLab Website</BadgeLink>
|
||||
<BadgeLink badgeText='Read' href='https://docs.gitlab.com/'>GitLab Documentation</BadgeLink>
|
||||
@@ -0,0 +1,8 @@
|
||||
# BitBucket
|
||||
|
||||
[BitBucket](https://bitbucket.com) is a provider of internet hosting for software development and version control using Git. It offers the distributed version control and source code management functionality of Git, plus its own features.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
|
||||
<BadgeLink badgeText='Visit' colorScheme="green" href='https://bitbucket.com/'>BitBucket Website</BadgeLink>
|
||||
<BadgeLink badgeText='Read' href='https://bitbucket.org/product/guides'>How to use BitBucket?</BadgeLink>
|
||||
@@ -0,0 +1,8 @@
|
||||
# Repo Hosting Services
|
||||
|
||||
There are different repository hosting services with the most famous one being GitHub, GitLab and BitBucket. I would recommend creating an account on GitHub because that is where most of the OpenSource work is done and most of the developers are.
|
||||
|
||||
<ResourceGroupTitle>Services Links</ResourceGroupTitle>
|
||||
<BadgeLink badgeText='Visit' colorScheme="green" href='https://github.com'>GitHub: Where the world builds software</BadgeLink>
|
||||
<BadgeLink badgeText='Visit' href='https://gitlab.com'>GitLab: Iterate faster, innovate together</BadgeLink>
|
||||
<BadgeLink badgeText='Visit' href='https://bitbucket.com'>BitBucket: The Git solution for professional teams</BadgeLink>
|
||||
@@ -0,0 +1,9 @@
|
||||
# PyPI
|
||||
|
||||
PyPI, typically pronounced pie-pee-eye, is a repository containing several hundred thousand packages. These range from trivial Hello, World implementations to advanced deep learning libraries.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='blue' badgeText='Official Website' href='https://pypi.org/'>PyPI Official Website</BadgeLink>
|
||||
<BadgeLink colorScheme='red' badgeText='Watch' href='https://www.youtube.com/watch?v=bPSfNKvhooA'>Getting Started with Pip and PyPI in Python</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://realpython.com/pypi-publish-python-package/'>How to Publish an Open-Source Python Package to PyPI</BadgeLink>
|
||||
|
||||
@@ -0,0 +1,8 @@
|
||||
# Pip
|
||||
|
||||
The standard package manager for Python is pip. It allows you to install and manage packages that aren’t part of the Python standard library.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://realpython.com/what-is-pip/'>Using Python's pip to Manage Your Projects' Dependencies</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.w3schools.com/python/python_pip.asp'>Python PIP Introduction</BadgeLink>
|
||||
|
||||
@@ -0,0 +1,3 @@
|
||||
# Package Managers
|
||||
|
||||
Package managers allow you to manage the dependencies (external code written by you or someone else) that your project needs to work correctly.
|
||||
+9
@@ -0,0 +1,9 @@
|
||||
# Django
|
||||
|
||||
Django is a free and open-source, Python-based web framework that follows the model–template–views architectural pattern. It is maintained by the Django Software Foundation, an independent organization established in the US as a 501 non-profit
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='blue' badgeText='Official Website' href='https://www.djangoproject.com/'>Django Official Website</BadgeLink>
|
||||
<BadgeLink colorScheme='blue' badgeText='Getting Started' href='https://www.djangoproject.com/start/'>Official Getting Started Guide</BadgeLink>
|
||||
<BadgeLink colorScheme='red' badgeText='Watch' href='https://www.youtube.com/watch?v=rHux0gMZ3Eg'>Python Django Tutorial for Beginners</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://stackoverflow.com/questions/58548089/django-is-synchronous-or-asynchronous'>Is Django synchronous or asynchronous?</BadgeLink>
|
||||
@@ -0,0 +1,7 @@
|
||||
# Flask
|
||||
|
||||
Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries. It has no database abstraction layer, form validation, or any other components where pre-existing third-party libraries provide common functions.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='blue' badgeText='Official Website' href='https://flask.palletsprojects.com/'>Flask - Official Website</BadgeLink>
|
||||
|
||||
+9
@@ -0,0 +1,9 @@
|
||||
# Pyramid
|
||||
|
||||
Pyramid is a general, open source, web application development framework built in python. It allows python developer to create web applications with ease. Pyramid is backed by the enterprise knowledge Management System KARL (a George Soros project).
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='blue' badgeText='Official Websiet' href='https://trypyramid.com/'>Pyramid - Official Website</BadgeLink>
|
||||
<BadgeLink colorScheme='blue' badgeText='Pyramid Documentation' href='https://docs.pyramid.com/en/latest/'>Pyramid Documentation</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.tutorialspoint.com/python_web_development_libraries/python_web_development_libraries_pyramid_framework.htm'>Pyramid Framework Introduction</BadgeLink>
|
||||
|
||||
@@ -0,0 +1,6 @@
|
||||
# Synchronous Frameworks
|
||||
|
||||
Synchronous frameworks in python handle the flow of data in a synchronous manner. On a s̲y̲n̲c̲h̲r̲o̲n̲o̲u̲s̲ request, you make the request and stop executing your program until you get a response from the HTTP server (or an error if the server can't be reached, or a timeout if the sever is taking way, way too long to reply) The interpreter is blocked until the request is completed (until you got a definitive answer of what happened with the request: did it go well? was there an error? a timeout?... ).
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://blog.miguelgrinberg.com/post/sync-vs-async-python-what-is-the-difference'>Sync vs. Async Python: What is the Difference?</BadgeLink>
|
||||
+8
@@ -0,0 +1,8 @@
|
||||
# gevent
|
||||
|
||||
gevent is a Python library that provides a high-level interface to the event loop.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='blue' badgeText='Official Website' href='http://www.gevent.org/'>gevent — Official Website</BadgeLink>
|
||||
<BadgeLink colorScheme='blue' badgeText='GitHub Repository' href='https://github.com/gevent/gevent'>GitHub Repository</BadgeLink>
|
||||
|
||||
+11
@@ -0,0 +1,11 @@
|
||||
# AIOHTTP
|
||||
|
||||
aiohttp is a Python 3.5+ library that provides a simple and powerful asynchronous HTTP client and server implementation.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='blue' badgeText='Official Website' href='https://docs.aiohttp.org/en/stable/'>Official Docs</BadgeLink>
|
||||
<BadgeLink colorScheme='red' badgeText='Watch' href='https://www.youtube.com/watch?v=nFn4_nA_yk8'>Python Asyncio, Requests, Aiohttp | Make faster API Calls</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://tutorialedge.net/python/create-rest-api-python-aiohttp/'>Creating a RESTful API with Python and aiohttp</BadgeLink>
|
||||
|
||||
|
||||
|
||||
+10
@@ -0,0 +1,10 @@
|
||||
# Tornado
|
||||
|
||||
Tornado is a scalable, non-blocking web server and web application framework written in Python. It was developed for use by FriendFeed; the company was acquired by Facebook in 2009 and Tornado was open-sourced soon after.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='blue' badgeText='Official Website' href='https://www.tornadoweb.org/'>Tornado — Official Website</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://phrase.com/blog/posts/tornado-web-framework-i18n/'>A Step-by-Step Tutorial on Python Tornado</BadgeLink>
|
||||
<BadgeLink colorScheme='red' badgeText='Watch' href='https://www.youtube.com/watch?v=-gJ21qzpieA'>Torando Python Framework</BadgeLink>
|
||||
|
||||
|
||||
+8
@@ -0,0 +1,8 @@
|
||||
# Sanic
|
||||
|
||||
Sanic is a Python 3.7+ web server and web framework that's written to go fast. It allows the usage of the async/await syntax added in Python 3.5, which makes your code non-blocking and speedy.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='blue' badgeText='Official Website' href='https://sanic.dev/en/'>Sanic Official Website</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/introduction-to-sanic-web-framework-python/'>Introduction to Sanic Web Framework – Python</BadgeLink>
|
||||
|
||||
@@ -0,0 +1,6 @@
|
||||
# Asynchronous
|
||||
|
||||
Asynchronous programming is a style of programming that is mostly concerned with the asynchronous execution of tasks. Python has several asynchronous frameworks that are used to implement asynchronous programming.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://geekflare.com/python-asynchronous-web-frameworks/'>Top 5 Asynchronous Web Frameworks for Python</BadgeLink>
|
||||
@@ -0,0 +1,5 @@
|
||||
# Python Frameworks
|
||||
|
||||
Frameworks automate the common implementation of common solutions which gives the flexibility to the users to focus on the application logic instead of the basic routine processes.
|
||||
|
||||
Frameworks make the life of web developers easier by giving them a structure for app development. They provide common patterns in a web application that are fast, reliable and easily maintainable.
|
||||
@@ -0,0 +1,8 @@
|
||||
# PyUnit / Unittest
|
||||
|
||||
PyUnit is an easy way to create unit testing programs and UnitTests with Python. (Note that docs.python.org uses the name "unittest", which is also the module name.)
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.digitalocean.com/community/tutorials/how-to-use-unittest-to-write-a-test-case-for-a-function-in-python'>How To Use unittest to Write a Test Case for a Function in Python</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://wiki.python.org/moin/PyUnit%C2%A0'>PyUnit Docs</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://machinelearningmastery.com/a-gentle-introduction-to-unit-testing-in-python/'>A Gentle Introduction to Unit Testing in Python</BadgeLink>
|
||||
@@ -0,0 +1,9 @@
|
||||
# pytest
|
||||
|
||||
pytest is a mature full-featured Python testing tool that helps you write better programs.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='blue' badgeText='Official Docs' href='https://docs.pytest.org/'>Official Docs</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.tutorialspoint.com/pytest/index.htm'>Pytest Tutorial</BadgeLink>
|
||||
|
||||
|
||||
@@ -0,0 +1,7 @@
|
||||
# Doctest
|
||||
|
||||
Python’s standard library comes equipped with a test framework module called doctest. The doctest module programmatically searches Python code for pieces of text within comments that look like interactive Python sessions. Then, the module executes those sessions to confirm that the code referenced by a doctest runs as expected.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='blue' badgeText='Official Docs' href='https://docs.python.org/3/library/doctest.html'>Doctest module reference</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.digitalocean.com/community/tutorials/how-to-write-doctests-in-python'>How To Write Doctests in Python</BadgeLink>
|
||||
@@ -0,0 +1,7 @@
|
||||
# Nose
|
||||
|
||||
Nose is another opensource testing framework that extends `unittest` to provide a more flexible testing framework.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://nose.readthedocs.io/en/latest/'>Introduction to Nose</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.lambdatest.com/blog/selenium-python-nose-tutorial/'>Getting Started With Nose In Python</BadgeLink>
|
||||
@@ -0,0 +1,7 @@
|
||||
# Testing
|
||||
|
||||
A key to building software that meets requirements without defects is testing. Software testing helps developers know they are building the right software. When tests are run as part of the development process (often with continuous integration tools), they build confidence and prevent regressions in the code.
|
||||
|
||||
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.guru99.com/software-testing-introduction-importance.html'>What is Software Testing?</BadgeLink>
|
||||
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.browserstack.com/guide/testing-pyramid-for-test-automation'>Testing Pyramid</BadgeLink>
|
||||
@@ -0,0 +1 @@
|
||||
#
|
||||
Reference in new issue
Block a user