A simple python course for beginners

Description

This beginner Python course is a comprehensive introduction to the world of programming using the Python programming language. This course is designed for individuals with little to no prior coding experience, making it an ideal starting point for those looking to embark on a journey into the world of computer programming.

Throughout the course, students are introduced to the fundamental concepts of programming, including variables, data types, and basic operations. They learn how to write and execute simple Python programs, gaining hands-on experience in solving real-world problems using code.

One of the key highlights of the course is the emphasis on Python's simplicity and readability. Python's clean and intuitive syntax makes it an excellent choice for beginners, enabling them to focus on problem-solving rather than grappling with complex syntax rules.

As the course progresses, students delve into more advanced topics, such as conditional statements, loops, and functions. They learn how to control the flow of their programs, allowing them to create more sophisticated and interactive applications.

Data manipulation is another critical aspect covered in the course. Students learn how to work with lists, tuples, dictionaries, and strings, enabling them to store, retrieve, and manipulate data efficiently. This knowledge forms the foundation for more advanced data science and software development concepts.

By the end of the course, students are equipped with the skills to tackle real-world programming challenges. They can create basic applications, automate repetitive tasks, and have a solid understanding of the Python ecosystem. This beginner Python course serves as a stepping stone for those interested in pursuing careers in software development, data analysis, or any field that requires programming skills. It opens doors to a wide range of opportunities in the ever-evolving tech industry and provides a strong foundation for further learning and specialization in Python and other programming languages.

Topics : 

An introduction to Python and an overview of programming languages.

Introduction to Python and its features

Setting up Python environment (interpreter, IDE)

How to write and run your first Python program

An introduction to Python's basic syntax and variables.

Python command line

Python comments

getting input

string to integer conversion

list comprehension

exception handling

polymorphism

debugging

installing pyinstaller

the range function

Data Types and Operators

Numeric data types: int, float, complex

Strings and string manipulation

strings and boolean type variables

strings

Boolean data type and logical operators

Basic arithmetic, comparison, and assignment operators

Type conversion and type casting

changing types of variables

Control Flow

Conditional statements: if, elif, else

if elif else

Using logical operators with conditionals

while loop and list

Looping constructs: while loop, for loop

Iterating over sequences (lists, strings, tuples)

Using break and continue statements

Data Structures Part I

Understanding lists and tuples

Lists: creation, indexing, slicing, appending, and extending

Accessing elements in a list

List methods and operations

List manipulation

lists, tuples and dictionaries

Tuples: creation, accessing elements, immutability

Tuple immutability

Sets: creation, operations, and methods

Using list comprehensions

Data Structures Part II

Dictionaries: creation, accessing elements, dictionary methods

Nested data structures

Combining data structures for complex data organization

Introduction to mutability and immutability

Functions

Defining and calling functions

Function parameters and arguments

Return statements and returning values

Scope of variables: global vs local

Unordered List Item Recursion: concept and examples

Introduction to Object-Oriented Programming (OOP)

Understanding objects and classes

Defining classes and creating objects

Class attributes and methods

Instance attributes and methods

Inheritance and polymorphism basics

File Handling and Modules

Opening, reading, writing, and closing files

File Manipulation 1

File Manipulation video

File modes and file objects

Working with different file formats (text files, CSV, JSON)

Creating and using modules

Understanding modules and importing them 2

Creating and using packages

Exploring the Python Standard Library

Importing modules and packages

Error Handling and Debugging

Understanding exceptions and errors

Using try-except blocks for error handling

Raising exceptions

Debugging techniques and tools

Best practices for writing clean and debuggable code

Reflection and feedback on the course

Networking

Networking Foundations with Python

data analysis

installing pandas

plotting with matplotlib

Planning, designing, and implementing a Python application

handling missing data

standardization

how to plot a bar chart

how to plot a scatter bar and line chart

how to make a pie chart

box chart

histogram

heatmap

violin graphs

pythonic and pandas description

numpy scipy hdf5 matplotlib

jupyter

pytable hdfs

pymongo

sqlalchemy, redis, pymysql, scikit-learn

tensorflow

keras

seaborn, plotly

how to install jupyter on linux

How to install python data analysis libraries in Windows.

numpy arrays

numpy array index

pandas read csv into a data frame

pytables installing

pytables hdf5 : how to install vitables

seaborn examples

seaborn examples ( video )

bokeh

bokeh video

Dask

web development in python

What is flask ( Article )

what is flask ( Video )

Introduction to Flask framework

starting flask

Creating web applications with flask

JSON (JavaScript Object Notation)

Flask-SQLAlchemy

Flask-MongoEngine

Flask-PyMongo

Flask-WTF

CSRF

WTForms

Django

Cross-Site Scripting (XSS)

Model-View-Controller (MVC)

Web application firewalls (WAFs)

Content Security Policy (CSP)

The Open Web Application Security Project (OWASP)

Document Object Model (DOM)

DOM-based XSS

Don't Repeat Yourself (DRY)

Internationalization

Localization

Flask-Login

Flask-Admin

Gunicorn

uWSGI

scipy

scipy constants

scipy constants part 2

scipy constants weights and minutes

tensorflow

starting tensorflow

Tensorflow examples

Special cases

Working with PDF files in python

Integrating payment gateways with python

Machine learning

Light GBM

OpenAI Gym

XGBoost

Hugging Face Transformers

CatBoost

PyTorch

Generative AI

GLM PyTorch

Pyro

NeRF

StyleGAN

Software development

Making the programmer sweat

Databases

MongoDB

NoSQL

Database Interaction with SQLAlchemy

Overview of SQLAlchemy

ORM concepts

CRUD operations

Commercial packages

Routing and views

Anaconda distribution

Development tools

PyCharm

Pylint

Flake8

Visual Studio Code (VS Code)

JetBrains

IntelliJ IDEA

Conda

Git

Mercurial

Subversion

Difference between Conda and Anaconda

Mypy

PIP

Python Package Index (PyPI)

Python Packaging Metadata (PEP 566)

Python Package Index Metadata (PEP 503)

Python Software Foundation (PSF)

Python Enhancement Proposals (PEPs)

What You Will Learn!

• exception handling
• plotting with matplotlib
• debugging
• starting pandas
• standardisation and normalization
• starting pyinstaller
• data types
• while loops
• lists
• tuples
• polymorphism
• command line
• python comments
• strings and boolean types
• getting input
• string to integer conversion
• if elif else
• list comprehension
• file manipulation
• handling missing data
• starting flask
• standardization of data
• how to make a pie chart
• how to make a box plot
• how to make a line chart and scatter plot
• how to make a bar chart
• how to make a histogram
• heatmaps
• violin graphs
• pandas
• numpy
• jupyter
• pytable hdfs
• pymongo
• sqlalchemy
• redis
• pymysql
• scikit-learn
• tensorflow
• keras
• seaborn
• plotly

Who Should Attend!

• Beginners to the pyhton language

TAKE THIS COURSE