In today’s world, the ability to code continues to grow in importance. Coding is no longer the sole domain of computer scientists and programmers, but rather a useful skill to have in any career.

Kids with an eye to their future know that learning to code is important, but figuring out which one to learn can be an intimidating task. Some languages are easier to learn, while others have a wider application. But one language sits right in the sweet spot.

Let's know why the child needs to learn Python. In this article, we will tell the importance of python and the resources for learning fast.

Why Should Kids Learn Python?

The answer is "Python is Beginner Friendly."

There are dozens of programming languages, and many of them are good for a wide variety of projects. Python is unique in that it’s easy to understand, even for kids with no programming experience. We recommend Python for kids because some languages use a perplexing combination of symbols and abbreviations. That's no need in Python.

What’s the Best Way for Kids to Learn Python?

There are many different ways for kids to learn programming with Python or any other language such as coding websites, apps, and games. With such an array of tools available, it can be difficult to choose those that are most effective.

Scientists have been studying the ways people learn for decades and have found some interesting clues about what works and what doesn’t.

Gamification Encourages Kids to Learn Python.

Motivation is a key component of successful learning. Without the proper incentives, students can get bored and abandon a subject before they’ve become proficient. This is why gamification is now so popular in online and live classrooms.

Score-keeping, competition, and rewards are great ideas for holding kids’ attention and teaching them everything from algebra to programming in Python. When searching for online Python courses, boot camps, and live workshops for your child, look for those that incorporate gamification.

Python is an Easy Introduction That Prevents Kids from Feeling Overwhelmed.

Some kids might feel like they just don’t have what it takes to learn Python. The strange combinations of words and punctuation can seem impossible to decipher. It’s easy to feel overwhelmed, but learning the basics of Python isn’t nearly as difficult as it may appear.

The key is to ease kids into learning Python by working with small chunks of information at a time. If the information is organized into a highly visual format, that’s even better.

The best coding books for kids are divided into short segments with plenty of pictures and small bits of text. Some coding classes offer short lessons that kids can complete in just a few minutes. These are perfect ways to introduce the Python programming language to kids.

Project-Based Learning Gets Kids Engaged in Python.

Many of the biggest names in technology started coding to build simple programs for themselves, friends, or family.

Mark Zuckerberg, Bill Gates, and Steve Jobs are just a few examples. They got excited about coding by building small, but fun, personal projects. Dreaming up a game or website, then figuring out how to build it might be the most effective way to master a programming language like Python.

It’s often necessary to learn the basics before beginning, but it’s possible to be proficient enough to build impressive programs in just a few weeks.

Practice is a Must.

Python programming is just like any other skill, it requires frequent practice. Kids who regularly use their Python skills to build projects and solve problems will retain their knowledge. Those who don’t are likely to forget most of what they’ve learned in a very short time. Practice is crucial, so make sure your child has regular opportunities to use Python.

Python is surprisingly easy to learn, so it’s a good choice for kids. It was written to be more readable and intuitive than similar back-end languages. These 5 are core concepts that your child can learn to build a solid foundation in Python.

1. Data Types

2. Variables

3. Functions

4. Loops

5. Modules

6. Data Types

A data type is a classification of data that tells the compiler how to use a piece of data. It determines what values an object can have and the operations that can be performed on it   Most programming languages support basic data types such as numbers, characters, and booleans.

In Python there are standard data types kids should be familiar with:

1. Integer: 20

2. Float: 20.5

3. String: “CodeWizardsHQ”

4. List: [“apple”, “banana”, “cherry”]

5. Tuple: (“apple”, “banana”, “cherry”)

6. Dictionary: {“name” : “John”, “age” : 36}

The full list of built-in Python data types includes:

1. Text Type: str

2. Numeric Types: int, float, complex

3. Sequence Types: list, tuple, range

4. Mapping Type: dict

5. Set Types: set, frozenset

6. Boolean Type: bool

7. Binary Types: bytes, bytearray, memoryview

To see the data type of an object, use the type() method in Python.

type() 

Variables

Variables are containers that hold a value, such as a piece of text or a number. You might remember these from math class. Variables are powerful because they can be reused and changed easily.

You can assign a value to a variable, like x or y, using the equal sign:

Variable names cannot: 

1. start with a number

2. contain spaces.

3. contain special characters except “_” (underscore)

4. have the same name as another variable

Functions

A function is a block of code that performs an action when it is called. You can add arguments to pass data into a function. A function can return data as a result.

Modules

Python modules are files that contain a set of code that you can include in your application. You can use Python’s in-built modules or write your own. For example, you can import the math module in order to use the sqrt() function that exists there, instead of writing your own function to calculate the square root

Python Module Index

__future__ Future statement definitions

__main__ The environment where the top-level script is run.

_thread Low-level threading API.

a

abc Abstract base classes according to :pep:`3119`.

aifc Read and write audio files in AIFF or AIFC format.

argparse Command-line option and argument parsing library.

array Space efficient arrays of uniformly typed numeric values.

ast Abstract Syntax Tree classes and manipulation.

asynchat Support for asynchronous command/response protocols.

asyncio Asynchronous I/O.

asyncore A base class for developing asynchronous socket handling services.

atexit Register and execute cleanup functions.

audioop Manipulate raw audio data.

b

base64 RFC 3548: Base16, Base32, Base64 Data Encodings; Base85 and Ascii85

bdb Debugger framework.

binascii Tools for converting between binary and various ASCII-encoded binary representations.

binhex Encode and decode files in binhex4 format.

bisect Array bisection algorithms for binary searching.

builtins The module that provides the built-in namespace.

bz2 Interfaces for bzip2 compression and decompression.

c

calendar Functions for working with calendars, including some emulation of the Unix cal program.

cgi Helpers for running Python scripts via the Common Gateway Interface.

cgitb Configurable traceback handler for CGI scripts.

chunk Module to read IFF chunks.

cmath Mathematical functions for complex numbers.

cmd Build line-oriented command interpreters.

code Facilities to implement read-eval-print loops.

codecs Encode and decode data and streams.

codeop Compile (possibly incomplete) Python code.

- collections Container datatypes

colorsys Conversion functions between RGB and other color systems.

compileall Tools for byte-compiling all Python source files in a directory tree.

- concurrent

configparser Configuration file parser.

contextlib Utilities for with-statement contexts.

contextvars Context Variables

copy Shallow and deep copy operations.

copyreg Register pickle support functions.

cProfile

crypt (Unix) The crypt() function used to check Unix passwords.

csv Write and read tabular data to and from delimited files.

ctypes A foreign function library for Python.

- curses (Unix) An interface to the curses library, providing portable terminal handling.

d

dataclasses Generate special methods on user-defined classes.

datetime Basic date and time types.

- dbm Interfaces to various Unix "database" formats.

decimal Implementation of the General Decimal Arithmetic Specification.

difflib Helpers for computing differences between objects.

dis Disassembler for Python bytecode.

- distutils Support for building and installing Python modules into an existing Python installation.

doctest Test pieces of code within docstrings.

e

- email Package supporting the parsing, manipulating, and generating email messages.

- encodings

ensurepip Bootstrapping the "pip" installer into an existing Python installation or virtual environment.

enum Implementation of an enumeration class.

errno Standard errno system symbols.

f

faulthandler Dump the Python traceback.

fcntl (Unix) The fcntl() and ioctl() system calls.

filecmp Compare files efficiently.

fileinput Loop over standard input or a list of files.

fnmatch Unix shell style filename pattern matching.

formatter Deprecated: Generic output formatter and device interface.

fractions Rational numbers.

ftplib FTP protocol client (requires sockets).

functools Higher-order functions and operations on callable objects.

g

gc Interface to the cycle-detecting garbage collector.

getopt Portable parser for command line options; support both short and long option names.

getpass Portable reading of passwords and retrieval of the userid.

gettext Multilingual internationalization services.

glob Unix shell style pathname pattern expansion.

graphlib Functionality to operate with graph-like structures

grp (Unix) The group database (getgrnam() and friends).

gzip Interfaces for gzip compression and decompression using file objects.

h

hashlib Secure hash and message digest algorithms.

heapq Heap queue algorithm (a.k.a. priority queue).

hmac Keyed-Hashing for Message Authentication (HMAC) implementation

- html Helpers for manipulating HTML.

- http HTTP status codes and messages

i

imaplib IMAP4 protocol client (requires sockets).

imghdr Determine the type of image contained in a file or byte stream.

imp Deprecated: Access the implementation of the import statement.

- importlib The implementation of the import machinery.

inspect Extract information and source code from live objects.

io Core tools for working with streams.

ipaddress IPv4/IPv6 manipulation library.

itertools Functions creating iterators for efficient looping.

j

- json Encode and decode the JSON format.

k

keyword Test whether a string is a keyword in Python.

l

lib2to3 The 2to3 library

linecache Provides random access to individual lines from text files.

locale Internationalization services.

- logging Flexible event logging system for applications.

lzma A Python wrapper for the liblzma compression library.

m

mailbox Manipulate mailboxes in various formats

mailcap Mailcap file handling.

marshal Convert Python objects to streams of bytes and back (with different constraints).

math Mathematical functions (sin() etc.).

mimetypes Mapping of filename extensions to MIME types.

mmap Interface to memory-mapped files for Unix and Windows.

modulefinder Find modules used by a script.

msilib (Windows) Creation of Microsoft Installer files, and CAB files.

msvcrt (Windows) Miscellaneous useful routines from the MS VC++ runtime.

- multiprocessing Process-based parallelism.

n

netrc Loading of .netrc files.

nis (Unix) Interface to Sun's NIS (Yellow Pages) library.

nntplib NNTP protocol client (requires sockets).

numbers Numeric abstract base classes (Complex, Real, Integral, etc.).

o

operator Functions corresponding to the standard operators.

optparse Deprecated: Command-line option parsing library.

- os Miscellaneous operating system interfaces.

ossaudiodev (Linux, FreeBSD) Access to OSS-compatible audio devices.

p

parser Access parse trees for Python source code.

pathlib Object-oriented filesystem paths

pdb The Python debugger for interactive interpreters.

pickle Convert Python objects to streams of bytes and back.

pickletools Contains extensive comments about the pickle protocols and pickle-machine opcodes, as well as some useful functions.

pipes (Unix) A Python interface to Unix shell pipelines.

pkgutil Utilities for the import system.

platform Retrieves as much platform identifying data as possible.

plistlib Generate and parse Apple plist files.

poplib POP3 protocol client (requires sockets).

posix (Unix) The most common POSIX system calls (normally used via module os).

pprint Data pretty printer.

profile Python source profiler.

pstats Statistics object for use with the profiler.

pty (Linux) Pseudo-Terminal Handling for Linux.

pwd (Unix) The password database (getpwnam() and friends).

py_compile Generate byte-code files from Python source files.

pyclbr Supports information extraction for a Python module browser.

pydoc Documentation generator and online help system.

q

queue A synchronized queue class.

quopri Encode and decode files using the MIME quoted-printable encoding.

r

random Generate pseudo-random numbers with various common distributions.

re Regular expression operations.

readline (Unix) GNU readline support for Python.

reprlib Alternate repr() implementation with size limits.

resource (Unix) An interface to provide resource usage information on the current process.

rlcompleter Python identifier completion, suitable for the GNU readline library.

runpy Locate and run Python modules without importing them first.

s

sched General purpose event scheduler.

secrets Generate secure random numbers for managing secrets.

select Wait for I/O completion on multiple streams.

selectors High-level I/O multiplexing.

shelve Python object persistence.

shlex Simple lexical analysis for Unix shell-like languages.

shutil High-level file operations, including copying.

signal Set handlers for asynchronous events.

site Module responsible for site-specific configuration.

smtpd A SMTP server implementation in Python.

smtplib SMTP protocol client (requires sockets).

sndhdr Determine type of a sound file.

socket Low-level networking interface.

socketserver A framework for network servers.

spwd (Unix) The shadow password database (getspnam() and friends).

sqlite3 A DB-API 2.0 implementation using SQLite 3.x.

ssl TLS/SSL wrapper for socket objects

stat Utilities for interpreting the results of os.stat(), os.lstat() and os.fstat().

statistics Mathematical statistics functions

string Common string operations.

stringprep String preparation, as per RFC 3453

struct Interpret bytes as packed binary data.

subprocess Subprocess management.

sunau Provide an interface to the Sun AU sound format.

symbol Constants representing internal nodes of the parse tree.

symtable Interface to the compiler's internal symbol tables.

sys Access system-specific parameters and functions.

sysconfig Python's configuration information

syslog (Unix) An interface to the Unix syslog library routines.

t

tabnanny Tool for detecting white space related problems in Python source files in a directory tree.

tarfile Read and write tar-format archive files.

telnetlib Telnet client class.

tempfile Generate temporary files and directories.

termios (Unix) POSIX style tty control.

- test Regression tests package containing the testing suite for Python.

textwrap Text wrapping and filling

threading Thread-based parallelism.

time Time access and conversions.

timeit Measure the execution time of small code snippets.

- tkinter Interface to Tcl/Tk for graphical user interfaces

token Constants representing terminal nodes of the parse tree.

tokenize Lexical scanner for Python source code.

trace Trace or track Python statement execution.

traceback Print or retrieve a stack traceback.

tracemalloc Trace memory allocations.

tty (Unix) Utility functions that perform common terminal control operations.

turtle An educational framework for simple graphics applications

turtledemo A viewer for example turtle scripts

types Names for built-in types.

typing Support for type hints (see :pep:`484`).

u

unicodedata Access the Unicode Database.

- unittest Unit testing framework for Python.

- urllib

uu Encode and decode files in uuencode format.

uuid UUID objects (universally unique identifiers) according to RFC 4122

v

venv Creation of virtual environments.

w

warnings Issue warning messages and control their disposition.

wave Provide an interface to the WAV sound format.

weakref Support for weak references and weak dictionaries.

webbrowser Easy-to-use controller for Web browsers.

winreg (Windows) Routines and objects for manipulating the Windows registry.

winsound (Windows) Access to the sound-playing machinery for Windows.

- wsgiref WSGI Utilities and Reference Implementation.

x

xdrlib Encoders and decoders for the External Data Representation (XDR).

- xml Package containing XML processing modules

- xmlrpc

z

zipapp Manage executable Python zip archives

zipfile Read and write ZIP-format archive files.

zipimport Support for importing Python modules from ZIP archives.

zlib Low-level interface to compression and decompression routines compatible with gzip.

zoneinfo IANA time zone support

Enroll Your Child in a Class – Best Online Python Classes for Kids

Online classes might be the most popular way for kids to learn Python these days, and for good reason. Kids can learn from the comfort of home and parents can avoid the long drive back and forth. Most python classes for kids employ some elements of gamification to make learning fun. They also present content in short segments and many guide students through the process of building interesting and useful projects.

1. Tynker

2. Codecademy

3. Udemy

Tynker.com: Introduction to Python

Introduction to Python is geared toward kids 12 and older. Kids start by learning about coding fundamentals such as variables, loops, and if/then statements. From there, they progress to working with graphics and eventually to building games.

This is a self-paced course where kids work through a series of 13 lessons at their own pace.

Codecademy

This course isn’t specifically designed for kids, but the lessons should be suitable for most high school and some middle school students.

Udemy

Udemy is an online course platform that any subject-matter expert can use to create and publish educational content. Potential instructors submit their course ideas, which are evaluated and must be approved by Udemy.

Use Practice Tutorials – Best Online Python Tutorials for Kids

1. Trinket

2. TechRocket

3. Practice Python

Trinket

Trinket’s Hour of Python is a collection of Python tutorials, challenges, and exercises for complete beginners as well as more experienced kids. Many of the challenges are modeled after simple real-world problems that professional coders have to solve.

TechRocket

TechRocket offers several themed tutorials for kids in a variety of programming languages, including Python. Bad Luck In Space is a series of progressive lessons developed around a space-themed game. To win, kids have to program their way out of dangerous situations like malfunctioning spaceships and attacking aliens.

Practice Python

This website contains dozens of Python practice exercises with sample code that kids can use as models for their own programs. Some of the challenges involve common programming tasks like working with files. Others challenge kids to write simple games like Tic-Tac-Toe and Hangman.

CodeCombat

In CodeCombat, kids learn to code in Python by playing a game. There’s no need for prior coding knowledge, but players start programming right away. The game provides easy instructions for writing code that moves a character around on the screen. The graphics are as good as anything kids might be used to from other video games.

CheckIO

In this browser-based game, kids get a look at Python examples before attempting to complete “missions” with their own code. Most of the game is more text-based than CodeCombat, but the problems in each mission can be quite fun to solve.

PyGame

Aspiring coders get to actually build a game in this collection of easy programming lessons. All of the code is provided for kids to follow step-by-step. Inquisitive kids may want to tweak parts of it and see what happens.

Scary Spot the Difference introduces learners to PyGame. PyGame is a library of Python files created just for game development, a subject for kids who are interested in building games.

Python for Kids: A Playful Introduction to Programming

Target Age: Elementary and middle school kids

If you can only buy your child just one book about Python, it should be Python for Kids. This single-volume covers the basics of Python with fun, easy-to-understand example code, and exercises. Readers learn how to download, install, and get started with Python in the first few pages.

Each chapter ends with a helpful summary of the material just learned. Kids discover how to work with graphics, build desktop applications and develop games. Python for Kids is packed with information and should be on every young coder’s bookshelf.

Computer Coding

Target Age: Elementary school kids

Elementary school readers can learn the basics of computer programming with this easy introduction from DK Publishers. It’s highly visual and well-organized into easily digestible chunks of information.

Computer Coding explains the key ideas behind programming such as variables, loops, and if/then statements. Each chapter features a practice exercise to help kids solidify their understanding of the material. The solutions in the back of the book allow kids to check their work and serves as an excellent reference.

Coding Projects in Python

Target Age: Elementary and middle school children

Coding Projects in Python are organized much like Computer Coding. It begins with a similar, although much more thorough, discussion of essential programming concepts. Kids work through projects like drawing graphics, creating animations, building a desktop application, and solving simple math problems.

Adventures In Minecraft

Target Age: 11-15. According to the authors, kids as young as 8 can complete most of the book.

Minecraft is a video game in which kids roam through a virtual 3D world.

Adventures in Minecraft shows readers how to expand the game’s potential through a series of “adventures”. Each chapter describes the adventure, a Minecraft project kids complete with Python programming.

Projects include controlling the avatar with code and automating repetitive tasks the player must complete during the game.

NOTICE: If you want a tutorial for kids. Comment now we will create a child-friendly tutorial soon.