Certified
Professional in Python Programming
Course Length: 80 hours
- how Python works and its place in the world of programming languages
- to work with and manipulate strings
- to perform math operations
- to work with Python sequences
- to collect user input and output results
- flow control processing
- to write to, and read from, files
- to write functions
- to handle exceptions
- work with dates and times.
Prerequisites:
Before
attending this course, it is recommended that students:
• Have basic computer navigation skills
• Prior programming experience is NOT necessary,
but it can help to put these topics in perspective
- Simple and Syntax Friendly
- Extremely rich libraries
- An extensive online documentation
- An awesome community
- Python's diverse applications
Course Outline
- Python basics
- Developer Environment
- Advanced Python
- Scripting
- Data scraping
- Automation
- Web development
- ML + Data science
Python to Build
- Data Analysis
- Artificial Intelligence
- Machine Learning
- Automation
- Web Apps
- Mobile Apps
- Desktop Apps
- Software Testing
- Hacking
Job Roles
- Software Engineer
- Python Developer
- Automation tester
- Data Analyst
- Data scientist
- Machine Learning Engineer
Training Course Contents
Chapter 1: Introduction to
Python
·
What
is Python and history of Python?
·
Unique
features of Python
·
Python-2
and Python-3 differences
·
Install
Python and Environment Setup
·
First
Python Program
·
Python
Identifiers, Keywords and Indentation
·
Comments
and document interlude in Python
·
Command
line arguments
·
Getting
User Input
·
Python
Data Types
·
What
are variables?
·
Python
Core objects and Functions
·
Number
and Maths
·
Week
1 Assignments
Chapter 2: Control Statements
·
if-else
·
if-elif-else
·
while
loop
·
for
loop
·
break
·
continue
·
assert
·
pass
·
return
Chapter 3: List, Ranges &
Tuples in Python
·
Introduction
·
Lists
in Python
·
More
about Lists
·
Understanding
Iterators
·
Generators,
Comprehensions and Lambda Expressions
·
Introduction
·
Generators
and Yield
·
Next
and Ranges
·
Understanding
and using Ranges
·
More
About Ranges
· Ordered Sets with tuples
Chapter 4: Python Dictionaries
and Sets
·
Introduction
to the section
·
Python
Dictionaries
·
More
on Dictionaries
·
Sets
·
Python
Sets Examples
Chapter 5: Input and Output in
Python
·
Reading
and writing text files
·
writing
Text Files
·
Appending
to Files and Challenge
·
Writing
Binary Files Manually
·
Using
Pickle to Write Binary Files
Chapter 6: Python built in
function
·
Python
user defined functions
·
Python
packages functions
·
Defining
and calling Function
·
The
anonymous Functions
·
Loops
and statement in Python
·
Python
Modules & Packages
Chapter 7: Python Object Oriented
·
Overview
of OOP
·
The
self-variable
·
Constructor
·
Types
Of Variables
·
Namespaces
·
Creating
Classes and Objects
·
Inheritance
·
Types
of Methods
·
Instance
Methods
·
Static
Methods
·
Class
Methods
·
Accessing
attributes
·
Built-In
Class Attributes
·
Destroying
Objects
·
Abstract
classes and Interfaces
·
Abstract
Methods and Abstract class
·
Interface
in Python
· Abstract classes and Interfaces
Chapter 8: Exceptions
·
Errors
in Python
·
Compile-Time
Errors
·
Runtime
Errors
·
Logical
Errors
·
What
is Exception?
·
Handling
an exception
·
try….except…else
·
try-finally
clause
·
Argument
of an Exception
·
Python
Standard Exceptions
·
Raising
an exceptions
·
User-Defined
Exceptions
Chapter 9: Python Regular
Expressions
·
What
are regular expressions?
·
The
match Function
·
The
search Function
·
Matching
vs searching
·
Search
and Replace
·
Extended
Regular Expressions
·
Wildcard
Chapter 10: Python Multithreaded
Programming
·
What
is multithreading?
·
Difference
between a Process and Thread
·
Concurrent
Programming and GIL
·
Uses
of Thread
·
Starting
a New Thread
·
The
Threading Module
·
Thread
Synchronization
·
Locks
·
Semaphore
·
Deadlock
of Threads
·
Avoiding
Deadlocks
·
Daemon
Threads
Chapter 11: Using Databases in
Python
·
Python
MySQL Database Access
·
Install
the MySQL dB and other Packages
·
Create
Database Connection
· CREATE, INSERT, READ Operation
· DML and DDL Operation with Databases
Web Scraping in Python
Chapter 12: Data Science Using Python
NumPy:
- Introduction to NumPy
- Creating arrays
- Indexing Arrays
- Array Transposition
- Universal Array Function
- Array Processing
- Array Input and Output
Pandas:
- What are pandas?
- Where it is used?
- Series in pandas
- Index objects
- Reindex
- Drop Entry
- Selecting Entries
- Data Alignment
- Rank and Sort
- Summary Statics
- Index Hierarchy
- Matplotlib: Data Visualization
- Python for Data Visualization
- Welcome to the Data Visualization Section
- Introduction to Matplotlib
- GUI in Python
- Button Widget
- Label Widget
- Text Widget
Chapter 14: Django Web Framework
in Python
- Introduction to MVC and MVT architecture in Web development
- Django folder structure and flow of control
