Python Certification Courses

Course Syllabus of Python Online Training

Entry Level Python Programmer Certification

Block 1 with Basic concepts of Python: Below are the topics covered in the basic concepts

• Literals: Integer, string, Boolean, Scientific Notation, Floating Point Numbers
• The print() and input() function
• Numeral systems like decimal, binary, hexadecimal and octal
• Numeric and String operators
• Shortcut operators

Block 2 with Input/Output Operations, Evaluations, and Data Types

• Type casting and basic calculations
• Boolean expressions and operators
• Bitwise operators
• Relational operators
• Input/Output operations
• Simple string

Block 3 with Flow Control

• Expanding loops, building loops, nesting loops
• Conditional statements, controlling loop execution, iterating via sequences

Block 4 with Data Collections

• Dictionaries
• Tuples
• Lists
• Detailed strings
• Tuples Vs Lists

Block 5 with Functions

• Recursion
• Arguments Vs Parameters
• Conversion of generator objects into lists
• Name hiding and name scopes
• Defining and invoking the own generators and functions

Associate Level Python Programmer Certification

Block 1 with Evaluation and Control

• Literals: Integer, String, Boolean, Scientific Notation, Floating Point Numbers
• The print(), input(), int(), str() and float() function
• Expanding, building, and Controlling Loops
• Numeric, bitwise, boolean, relational, assignment, shortcut and string operators
• Simple lists and strings
• Conditional statements

Block 2 with Data Aggregates

• Tuples
• Dictionaries
• Lists

Block 3 with Modules and Functions

• Python Hashtags
• Name hiding and name scopes
• Arguments Vs Parameters
• Package construction and distribution
• Sorted(), reduce(), map(), reversed() and filter() functions
• Sort() method
• Creation and usage of pyc file
• Initializing modules and import directives
• With the help of list() function, convert generator objects into list
• Using and defining the function lambda.

Block 4 with Exceptions, Objects and Classes

• Exception object anatomy
• Exceptions Hierarchy
• Name mangling
• Assertions
• Input/ Output basic
• Introspection
• Invoking methods
• Learning on functions super(), type(), isinstance(), hasattr(), and issubclass()
• Learning on methods write(), read(), readline(), close() and readinto()
• Single inheritance and multiple inheritance
• Class methods and class attrtibutes

PCPP1- Certified Professional in Python Programming 1

Block 1 with Communication with Program Environment and File Processing

Communication with Program Environment:

working with streams, datetime – manipulating with time and dates, time – time conversion and access, and os – interaction with the Operating System

Process on various types of files:

CSV- CSV file writing and reading, configparser – configuration file parser, xml – creating and processing XML files, sqlite3 – interaction with SQLite databases, and logging – basics facility of logging for Python.

Block 2 with Science, Maths, and Engineering tools

• Pandas – Library that provides data analysis tools and high-performance
• SciPy – An ecosystem for science, mathematics, and engineering
• SciKit-image – Collection of algorithms to perform image processing
• math – Fundamental tool for basic valuations
• Matplotlib – 2D plotting library that produces publication quality figures
• NumPy – Basic suite for scientific computing

Block 3 with GUI Programming/h4>

• GUI Construction (learning on fundamental blocks and conventions)
• GUI toolkits
• GUI environment
• About GUI and the origin of GUI
• tkinter (Application life cycle, sample applications, Widgets and Events)
• Event driven programming

Block 4 with Python Enhancement Proposals

• About PEP.
• Python Code Style Guide (PEP 8) – Standard Library code comprising.
• Docstring Conventions (PEP 257) – About Docstring and few conventions& semantics.
• Zen of Python (PEP 20) – Collection of principles which is influencing the Python code design.
• A detailed journey on all different vital PEPs

Block 5 with Object oriented programming and advanced perspective of classes in Python

• Polymorphism and Inheritance
• Static and class method of Python
• Hands-on experience with instance data and class
• Learning on Methods, Instances, Attributes and Classes
• Python objects serialization with the help of pickle module
• Enabling the persistence of Python Object using shelve module
• Object data copying process using deep and shallow operations
• Method overloading Vs Abstract classes
• Implementation of core syntax
• Knowing the techniques on creation and serving exceptions
• Metaprogramming concepts such as Metaclasses, Class decorators and Function decorators

PCPP2- Certified Professional in Python Programming 2

Block 1 with Creation and Distribution of Packages

• Install, store and share packages
• Documentation and License
• Usage of pip and setup.py file
• Testing techniques like unit test and Pytest

Block 2 with Design

• Design pattern concepts:

Proxy, Command, Singleton, Observer, Model View Controller, Façade, Temple Method, Stage Design, and Factory are the different design pattern concepts.

Block 3 with Interprocess Communication

Below concepts are taught in this stage of Python Certification:

• Subprocess (management of subprocess)
• Threading
• Multiprocess synchronization (socket, Queue, and mmap)

Block 4 with Python Network Programming

Learning on the below Python Socket Modules

• What are sockets?
• Client Socket, Server Socket, and General socket methods
• Peer to Peer Vs Client Server
• Internet modules

Block 5 MySQL Database Access of Python

• Learning on CRUD Application (db read, db update, db delete, db connection, db create, and db insert
• Relational Databases

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