Price:  12.00 USD | Size: 8.98 GB | Duration : 35 Hours | 178 Video Lessons 
A Comprehensive Study of the Basic (and many advanced) skills required by any Python developer: Web, Data Analysis 
 
 
Python 3 Beginner to Pro & Python 3 For OSCP  Video Training  Online Course & PDF Guides DOWNLOAD
 
A Comprehensive Study of the Basic (and many advanced) skills required by any Python developer: Web, Data Analysis
 
What you'll learn
Python 3 Language and Applications
Software Programming Skills
Learn the basic concepts of Python
Learn how to write robust and error free code
Establish a strong foundation in Object Oriented Programming
Learn how to write decorators like a Pro
Learn advanced python concepts like inheritance, super and the MRO
Built-in Modules: os, sys, math, random, datetime, logging
Learn how to work with Text, CSV and JSON files
Learn how to write and analyze Regular Expressions (Regex)
Setup a Flask web server using HTTP, HTML, SQL, Jinja2, Bootstrap4
 
Requirements
Basic Computer Skills
Basic Logic Skills
Description
Welcome to the brand new course in Python 3: Beginner to Pro.
 
When I started creating this course, I had one objective in mind:
 
"Teach like I wish I had been taught".
 
I remember the questions/doubts/hesitations I had when I was learning Python and I have tried very hard to address them in this course. This is why there are many many quizzes and code assignments/problems to solve in this course. No one learns to swim or ride a bicycle by attending lectures on swimming or biking and so it is with coding. You have to write the code, make mistakes, solve those mistakes and repeat. That is the only way to learn.
 
A strong foundation is necessary for any new endeavor and if it seems that the course is a bit slow in the beginning, it is a deliberate choice to ensure that students have the requisite knowledge to proceed to the more challenging portions.
 
Student feedback is a very important to me. It allows me to change portions of the course if necessary. Please don't hesitate to ask pertinent questions and I will answer them ASAP.
 
Some of the topics:
 
Data types, variables, operators.
 
Conversions between Data types
 
Operators: Arithmetic, Assignment, Comparison
 
Operators: Logical, Identity, Membership, Bitwise
 
for loops, while loops and if-else branching
 
Functions: Parameters, arguments, return values
 
Functions: Positional and Keyword Argument
 
Functions: Default Values for parameters
 
Functions: Variable positional and Keyword arguments
 
Functions: Local and Global Scope of variables
 
Functions: Enumerate, Map, Filter, Reduce, Zip, Lambda
 
Functions: Closures and Decorators
 
Functions: List and Dictionary comprehensions
 
 
 
Modules and Packages
 
Built-in modules: os, sys, random, datetime, logging, math
 
try-catch error handling
 
Unit tests
 
File handling: Text, CSV and JSON
 
Regular Expressions (regex)
 
 
 
Object Oriented Programming: Classes, Instances
 
OOP: Class and Instance attributes, class and instance methods
 
OOP: Instance creation step-by-step and the concept of self
 
OOP: Instance Properties and attribute validation
 
OOP: Class Inheritance and inherited attributes and methods
 
OOP: The concept of super
 
OOP: Method Resolution Order(MRO) for multi-level and multiple inheritance
 
 
 
Web: Using simple HTTP methods via the requests module
 
Web: Sending and receiving SMS messages using Twilio
 
Web: Setting up a web server using Flask micro-framework
 
Web: Dynamic HTML websites using Jinja2 templates
 
Web: Connecting to a SQL database
 
Web: Using Bootstrap4 in the website
 
Web: Putting it all together to create a frontend and a backend.
 
Data Analysis: Basics and Numpy
 
Data Analysis: Numpy nD arrays and characteristics
 
Data Analysis: Pandas dataframes
 
Data Analysis: Dataframe manipulations, groupby and conditional extraction
 
Data Analysis: Visualization of data using matplotlib and pandas
 
Data Analysis: Visualization of data using Seaborn.
 
There are ~80 quiz questions and ~35 programming exercises with the solutions in this course.
 
Who this course is for:
Beginner Python students and developers
 
 
 
Content of this course
 
 
01 Introduction
02 Anaconda, Python and Jupyter Notebook
03 DataTypes_ Numbers and Boolean Types
04 DataTypes_ Strings
05 Assignments - I
06 DataTypes_ Tuples and Lists
07 DataTypes_ Sets and Dictionaries
08 Data Types - Summary
09 Conversions between DataTypes
10 Operators
11 Flow Control_ Loops and Conditional Statements
12 Assignments - II
13 Functions
14 Assignments - III
15 Advanced Functions
16 Assignment - IV
17 Modules and Packages
18 Object Oriented Programming
19 Assignment - V
20 Advanced Python Topics
21 Python Built-In modules
22 Error Handling, Exceptions and Unit Tests
23 File Operations
24 Regular Expressions (regex)
25 Web Development and Communication