Introduction to Python

What is Python Language and features, Why Python and why it is different from other languages, Installation of Python, Anaconda Python distribution for Windows, Mac, Linux. Run a sample python script, working with Pyhton IDE’s. Running basic python commands – Data types, Variables,Keywords,etc

Demonstration – Install Anaconda Python distribution for your OS.

• Python Implementations – CPython, Iron
• Python, Jython, pypy
• Distributions – python.org, anaconda python,
• pypy
• Shells and IDEs – python, Ipython, Jupyter,
• Eclipse, Pycharm
• Python 2 vs 3
• Hello World!’
• No braces only indentation
• Interpretationand.pyc, .pyo files

Types and Conversion Functions

In Python, data types are used to classify one particular type of data, determining the values that you can assign to the type and the operations you can perform on it. When programming, there are times we need to convert values between types in order to manipulate values in a different way. For example, we may need to concatenate numeric values with strings, or represent decimal places in numbers that were initialized as integer values.

This training will guide you through converting numbers, strings, tuples and lists, as well as provide examples to help familiarize yourself with different use cases.

You will learn the conversion function on following

• Int()
• float ()
• bool()
• str()
• id ()
• type ()
• None
• sys. getsizeof ()

Varous Types of Operators in Python

Operators are used to perform operations on values and variables. Operators can manipulate individual items and returns a result. The data items are referred as operands or arguments. Operators are either represented by keywords or special characters. For example, for identity operators we use keyword “is” and “is not”.

In this Training, we going to learn various operators

• arithmetic
• relational
• logical
• assignment
• bitwise
• membership
• identity operators

Control Structure in Python

A control structure (or flow of control) is a block of programming that analyses variables and chooses a direction in which to go based on given parameters. In simple sentence, a control structure is just a decision that the computer makes. So, it is the basic decision-making process in programming and flow of control determines how a computer program will respond when given certain conditions and parameters.

There are two basic aspects of computer programming: data and instructions . To work with data, you need to understand variables and data types; to work with instructions, you need to understand control structures and statements. In this training, You will learn the following Control Structure

• Conditionals
• If
• If-else
• If-elif
• Looping statements
• while
• for
• range () and xrange ()
• Break and Continue
• Example Problems

Container Types in Python

One of the great advantages of Python as a programming language is the ease with which it allows you to manipulate containers. Containers (or collections) are an integral part of the language and, as you’ll see, built in to the core of the language’s syntax. As a result, thinking in a Pythonic manner means thinking about containers. In this training, You will with the following container types

• tuple
• Strings
• Array or List in Python
• List slicing techniques
• Collections
• set ()
• dict ()
• Defaultdict()
• OrderedDict ()
• Counter ()
• heapq ()
• deque ()
• Exercise Problems

Python Functions

In this training, You will learn functions in Python that covers how to write functions, how to call them, and more!

Functions are an essential part of the Python programming language: you might have already encountered and used some of the many fantastic functions that are built-in in the Python language or that come with its library ecosystem.

That’s why this post will introduce you to functions in Python. You’ll cover the following topics:

• Positional arguments
• Variable Arguments
• Keyword arguments
• Default Arguments
• Call-by-object-reference (call-by-reference and call-by-value)
• passkeyword
• Built-in methods

Iterators and Generators in Python

Iterators are containers for objects so that you can loop over the objects. In other words, you can run the “for” loop over the object. There are many iterators in the Python standard library. For example, list is an iterator and you can run a for loop over a list. Under Iterator and Generator, You will cover a following topics

• range () and xrange () re-visited
• next ()vs.next ()
• yield and Custom Generators
• custom iterators __iter__, __next__
• Generator expressions

Miscellaneous in Python

The modules described in this chapter provide miscellaneous services that are available in all Python versions.We have included a bunch of miscellaneous topics, all of which are useful. The modules described in this chapter provide miscellaneous services that are available in all Python versions. Under Miscellaneous, Following topics will be covered

• zip()
• enumerate()
• Unpacking in python 3
• Copy(), deepcopy()

Modules and Namespace

A module helps you logically organize your Python code. Grouping related code into a module makes the code easier to understand and use. A module is a Python object with arbitrarily named attributes that you can bind and reference. Simply, a module is a file consisting of Python code. A module can define functions, classes and variables. A module can also include runnable code.

A namespace (sometimes also called a context) is a naming system for making names unique to avoid ambiguity. Everybody knows a namespacing system from daily life, i.e. the naming of people in firstname and familiy name (surname). Another example is a network: each network device (workstation, server, printer, …) needs a unique name and address. Yet another example is the directory structure of file systems. The same file name can be used in different directories, the files can be uniquely accessed via the pathnames.

Under Module and Namespace following topics will be covered :-

• import statement
• if __name__ == ‘__main__’
• python files
• Package vs Folder
• __init__.pyand __all__
• locals ()and globals ()

Python File Handling

Python file handling is one of the essential topics for programmers and automation testers. As both of them needs to work with files either to write to a file or to read data from it. Also, if you are not already aware, I/O operations are the costliest operations where a program can stumble. Hence, you should be quite careful while implementing file handling for reporting or any other purpose. In this training, Python File Handling covers following topics :-

• Files and directories
• Text files
• Binary files
• Encoding – UTF-8 & ASCII
• Byte order (big-endian, little-endian)
• Text file processing
• Pickling – Binary file handling

Functional Programming in Python

Most of us have been introduced to Python as an object-oriented language; a language exclusively using classes to build our programs. While classes, and objects, are easy to start working with, there are other ways to write your Python code. Languages like Java can make it hard to move away from object-oriented thinking, but Python makes it easy.

Given that Python facilitates different approaches to writing code, a logical follow-up question is: what is a different way to write code? While there are several answers to this question, the most common alternative style of writing code is called functional programming. Functional programming gets its name from writing functions which provides the main source of logic in a program.

In this training, You will learn :

• Lambdas
• map (), filter () and reduce ()
• List comprehension revisited

Object Orientation Programming in Python

n all the programs we wrote till now, we have designed our program around functions i.e. blocks of statements which manipulate data. This is called the procedure-oriented way of programming. There is another way of organizing your program which is to combine data and functionality and wrap it inside something called an object. This is called the object oriented programming paradigm. Most of the time you can use procedural programming, but when writing large programs or have a problem that is better suited to this method, you can use object oriented programming techniques.

Classes and objects are the two main aspects of object oriented programming. A class creates a new type where objects are instances of the class. An analogy is that you can have variables of type int which translates to saying that variables that store integers are variables which are instances (objects) of the int class.

Abstraction
Encapsulation

• Data binding
• Data hiding

Classes and POD

• Inheritance
• Re-Usability

MRO

• Single Inheritance
• Multiple Inheritance
• Multi-level Inheritance
• Hierarchical Inheritance
• Hybrid Inheritance
• Diamond Problem

Polymorphism: Overloading

• Method overloading in python
• Operator overloading

Polymorphism II: Overriding

Static Methods

ClassMethods

Self & Cls

Decorators using functions

• local functions
• passing and returning functions
• Function decorators

Decorators using Classes

Context managers

Callable objects (functors) __call__

Python Descriptors and Properties

Python descriptors were introduced in Python 2.2, along with new style classes, yet they remain widely unused. Python descriptors are a way to create managed attributes. Among their many advantages, managed attributes are used to protect an attribute from changes or to automatically update the values of a dependant attribute.

Descriptors increase an understanding of Python, and improve coding skills. This article introduces descriptor protocol and demonstrates how to create and use descriptors.

While the descriptor specified in Listing 2 is valid and functional, another method is through the property type. With the property(), it is easy to create a usable descriptor for any attribute. Under this training, Following topics will be covered :-

• __get__, __set__, __del__
• @property decoration
• property function

Python Exception Handling

In this training. We will cover how Python handles errors with exceptions.

What is an Exception?

An exception is an error that happens during execution of a program. When that
error occurs, Python generate an exception that can be handled, which avoids your
program to crash.

Why use Exceptions?

Exceptions are convenient in many ways for handling errors and special conditions
in a program. When you think that you have a code which can produce an error then
you can use exception handling.

Raising an Exception

You can raise an exception in your own program by using the raise exception statement. Raising an exception breaks current code execution and returns the exception back until it is handled.

• System Continuity
• try –except
• finally
• else
• writing custom exceptions

Useful Modules in Python

Python comes with many handy tools that can make our lives as developers or sysadmins easier. These tools are in the form of modules and libraries that are also executable. Many of these tools are known, but not all are as well known as they should be. In this training, We will introduce you a few useful tools that might become helpful to use them in the future.

• datetime
• time
• pytz
• sys
• os
• random

Regular Expression in Python

Regular expressions are a powerful language for matching text patterns. This training gives a basic introduction to regular expressions themselves sufficient for our Python exercises and shows how regular expressions work in Python. Below is the topics we covered under regular expression in Python.

• match ()
• search ()
• findall()
• Greedy and Non-Greedy Matching

Serialization in Python

Serialization is the process of converting a data structure or object state into a format that can be stored (for example, in a file or memory buffer, or transmitted across a network connection link) and resurrected later in the same or another computer environment.

When the resulting series of bits is reread according to the serialization format, it can be used to create a semantically identical clone of the original object.

This process of serializing an object is also called deflating or marshalling an object. The opposite operation, extracting a data structure from a series of bytes, is deserialization (which is also called inflating or unmarshalling). wiki.

In Python, we have the pickle module. The bulk of the pickle module is written in C, like the Python interpreter itself. It can store arbitrarily complex Python data structures. It is a cross-version customisable but unsafe (not secure against erroneous or malicious data) serialization format. Following Serialization Topics will be covered under this training.

• pickle module
• CSV and EXCEL – csv module
• XML parsing – lxml module
• JSON Parsing –json and simplejson modules

Multi-threading in Python

Modern computers tend to feature a CPU that has multiple processing cores, each of these cores can run many threads simultaneously which gives us the ability to perform several tasks concurrently. This tutorial will hopefully show you how to get started with Python’s Multi-threading module which covers following topics :-

• Concurrency and Parallelism
• Multi-processing
• Multi-threading
• Creating thread
• Joining thread
• Daemon threads
• Cancelling threads
• Critical section and locking
• deadlock
• GIL
• Asynchronous Programming

Database Connectivity in Python

Before we start using our database with python we must connect to it. There are four stages of database communication with python:

Create a connection object.
Create a cursor object to read/write.
Interact with the database.
Close the connection.

We will cover following topics under Database Connectivity :-

• Connectors – MySQL, SQLite, Mongo
• Querying and cursors
• Cursor unpacking

Python Logging

The logging module is part of the standard Python library and provides tracking for events that occur while software runs. You can add logging calls to your code to indicate what events have happened.

The logging module allows for both diagnostic logging that records events related to an application’s operation, as well as audit logging which records the events of a user’s transactions for analysis. It is especially used to record events to a file. Under this training, You will following topics for Python Logging :-

• Logging setup
• Log Levels
• Console Logger
• File Logger
• Rotating File Logger

Unit Testing in Python

The unittest module used to be called PyUnit, due to it’s legacy as a xUnit style framework. It works much the same as the other styles of xUnit, and if you’re familiar with unit testing in other languages, this framework (or derived versions), may be the most comfortable for you.

The standard workflow is:
1. You define your own class derived from unittest.TestCase.
2. Then you fill it with functions that start with ‘test_’.
3. You run the tests by placing unittest.main() in your file, usually at the bottom.

Following activities will be performed under Unit Testing in Python :-

• Writing unit tests
• Assertions
• nosetests
• mocking
• coverage

Pythong Object Relational Mapping (ORM)

An object-relational mapper (ORM) is a code library that automates the transfer of data stored in relational databases tables into objects that are more commonly used in application code.

The ability to write Python code instead of SQL can speed up web application development, especially at the beginning of a project. The potential development speed boost comes from not having to switch from Python code into writing declarative paradigm SQL statements. While some software developers may not mind switching back and forth between languages, it’s typically easier to knock out a prototype or start a web application using a single programming language.

• SQLAlchemy
• Creating, dropping tables
• Updating records
• Querying

Python Django

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. Built by experienced developers, it takes care of much of the hassle of Web development, so you can focus on writing your app without needing to reinvent the wheel. It’s free and open source.

• Introduction of Django
• Installing Django
• Explaining Architecture of Django
• Creating Django Project
• How to run Django Project
• Overview of Django Structure(Setttings,manage,urls,init,wsgi)
• Django Admin overview
• How to Create APPS
• Models and Migrations

Playing with Django ORM API

In this training, You will learn using Django’s with ORM query methods (filter, order_by etc) directly in a view is (usually) an anti-pattern. Also, You will learn building  APIs at the model layer, where your business logic belongs. Django doesn’t make this particularly easy, but by taking a deep-dive into the internals of the ORM, You will learn some neat ways to accomplish it.

While writing Django applications, You will be adding methods to the models to encapsulate business logic and hide implementation details.  Following topics will be covered under this training :-

• Creating Views
• Http Response,Render to Response
• Templates
• Forms and their validation
• Pagination,Sessions,Authentication
• Simple web app with CURD Operations

Why should I join Python Course from BSAI Academy?

Our Python training gives you hands-on assignment in working with the powerful Operating System powering the Apple range of mobile devices. Python training course will make you depth understanding of the Python from basics to advanced. At the end of the completion, you will be awarded the BSAI Academy Course Completion Certification.

What if I miss a class?

You will never miss a class. Since We provide video recorded file of the Live Instructor-Led Training. You can cover up your missed class via video recorded file.

Will I get placement assistance?

No We do not provide placement assistance.

Is it feasible to attend a demo session before enrollment?

Unfortunately participation in a live class without enrollment is not possible. However, We can provide you the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.

Who is the Instructors at BSAI Academy?

All the instructors at BSAI Academy are practitioners from the Industry with minimum 3 years of relevant IT experience. They are subject matter experts and are trained by BSAI Academy for providing an awesome learning experience.

What if I have more queries?

You can give us a CALL at +99841221510 OR email at info@bsaiacademy.com

What is this course about?

Since this course is prepare for begineers to become expert in Python. Through this will learn from basics to advanced level which is best way to started for anyone who wantes to work as an Python Developer

Who should do this course?

This course is ideal for any individual who wants to learn Python and is looking forward to build a successful career in Python Developer. This course on Python trains you to build a code from scratch to expert level.

What are the pre-requisites for this course?

There are no pre-requisites for this course as you learn Python from scratch. Basic computer usage skills are enough to take up this course and your hard work.

I want to know more about the training program. Whom do I contact?

Please join our Live Chat for instant support, call us, or Request a Call Back to have your query resolved at info@bsaiacademy.com.

How will I become Certified Python Developer? Will I get a course completion certificate?

To become a Python Developer from BSAI Academy, it is mandatory to complete 85% of the course. We  offer course completion certificate after you successfully complete the course. Also, We will take an exam after course completion.

Is there any exam for Python?

Yes, there is exam for Python development. Our tutor will take an exam at the end of your course completion.

BSAI Academy Certification

• Once you are successfully complete the project which will be reviewed by a BSAI Academy Expert , you will be awarded Python Certificate through BSAI Academy
• The certification will be awarded  upon scoring of at least 85% marks in the exam.

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  4.0 rating

  Hari Adhikari
  Java Programmer,  Pro Tech - USA
  

  BSAI Academy is Clean, simple and a fantastic learning place that i would like to recomend to everyone. The courses are a great resource for personal development and continual learning. They are well structured and provided both ease of access and depth while allowing you to go at your own pace. Support team people is also really very cooperative and helps out at there best.