Python Training

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Python is growing and growing big time. If you read programming and technology news or blog post then you might have noticed the rise of Python as many popular developer communities including StackOverFlow and CodeAcademy has mentioned the rise of Python as a major programming language.

Duration
40+ Hours
Institution
Pcap
Language
English
Video Script
English

Overview

Python training certification course will help you to understand the high-level, general-purpose dynamic programming language. In this Python training course, you will be exposed to both the basic and advanced concepts of Python like Machine Learning, Deep Learning, Hadoop streaming and MapReduce in Python, and you will work with packages like Scikit and SciPy.

 

What you will learn

  • Python Basic Constructs 
  • Exception Handling 
  • Matplotlib
  • OOPS in Python
  • Multi-threading
  • Python for Apache Spark
  • Pandas NumPy & SciPy
  • Web Scraping 
  • Packages & functions
  • Database Connections

Syllabus

International industry expertise at your disposal as you deep-dive into the research topic and sector of your choice.

Course Content

Python Environment Setup and Essentials (5 Lectures)

Introduction to Python Language

12:00 Play

Features, the advantages of Python over other programming languages

12:00 Play

Python installation – Windows, Mac & Linux distribution for Anaconda Python

12:00 Play

Deploying Python IDE

12:00 Play

Basic Python commands, data types, variables, keywords and more

12:00 Play

Python language Basic Constructs (4 Lectures)

Built-in data types in Python

14:00 Play

Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug

14:00 Play

Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise

14:00 Play

Loop and control statements while, for, if, break, else, continue.

14:00 Play

OOP concepts in Python (6 Lectures)

How to write OOP concepts program in Python

15:00 Play

Connecting to a database

15:00 Play

Classes and objects in Python

15:00 Play

OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation

15:00 Play

Python functions, return types and parameters

15:00 Play

Lambda expressions

15:00 Play

Database connection (3 Lectures)

Understanding the Database, need of database

14:00 Play

Installing MySQL on windows

14:00 Play

Understanding Database connection using Python.

14:00 Play

NumPy for mathematical computing (3 Lectures)

Introduction to arrays and matrices

13:00 Play

Broadcasting of array math, indexing of array

13:00 Play

Standard deviation, conditional probability, correlation and covariance.

13:00 Play

SciPy for scientific computing (2 Lectures)

Introduction to SciPy

12:00 Play

Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, SciPy with Bayes Theorem.

12:00 Play

Matplotlib for data visualization (2 Lectures)

How to plot graph and chart with Python

10:00 Play

Various aspects of line, scatter, bar, histogram, 3D, the API of MatPlotLib, subplots.

10:00 Play

Pandas for data analysis and machine learning (3 Lectures)

Introduction to Python dataframes

15:00 Play

Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe

15:00 Play

Various data operations like selecting, filtering, sorting, viewing, joining, combining

15:00 Play

Exception Handling (6 Lectures)

Introduction to Exception Handling

11:00 Play

Scenarios in Exception Handling with its execution

11:00 Play

Arithmetic exception

11:00 Play

RAISE of Exception

11:00 Play

What is Random List, running a Random list on Jupyter Notebook

11:00 Play

Value Error in Exception Handling.

11:00 Play

Multi Threading & Race Condition (5 Lectures)

Introduction to Thread, need of threads

12:00 Play

What are thread functions

12:00 Play

Performing various operations on thread like joining a thread, starting a thread, enumeration in a thread

12:00 Play

Creating a Multithread, finishing the multithreads.

12:00 Play

Understanding Race Condition, lock and Synchronization.

12:00 Play

Packages and Functions (7 Lectures)

Intro to modules in Python, need of modules

12:00 Play

How to import modules in python

12:00 Play

Locating a module, namespace and scoping

12:00 Play

Arithmetic operations on Modules using a function

12:00 Play

Intro to Search path, Global and local functions, filter functions

12:00 Play

Python Packages, import in packages, various ways of accessing the packages

12:00 Play

Decorators, Pointer assignments, and Xldr.

12:00 Play

Web scraping with Python (6 Lectures)

Introduction to web scraping in Python

14:00 Play

Installing of beautifulsoup

14:00 Play

Installing Python parser lxml

14:00 Play

Various web scraping libraries, beautifulsoup, Scrapy Python packages

14:00 Play

Creating soup object with input HTML

14:00 Play

Searching of tree, full or partial parsing, output print

14:00 Play

Course Details

This Python training will give you hands-on experience in mastering the one of the best programming languages that is Python. In this online Python course you will learn about the basic and advanced concepts of Python including MapReduce in Python, machine learning, Hadoop streaming and also Python packages like Scikit and Scipy.

As part of this online Python course you will be working on real time Python projects that have high relevance in the corporate world, step-by-step assignments and curriculum designed by industry experts. Upon completion of the Python online course you can apply for some of the best jobs in top MNCs around the world at top salaries.

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Training Options

Self-paced Training

200
  • Lifetime access to high-quality self-paced eLearning content curated by industry experts
  • 3 simulation test papers for self-assessment
  • Lab access to practice live during sessions
  • 24x7 learner assistance and support

Live Virtual Classes

299
  • Online Classroom Flexi-Pass
  • Lifetime access 
  • Practice lab and projects 

 

One on One Training

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  • Customized learning delivery model (self-paced and/or instructor-led)
  • Flexible pricing options
  • Enterprise grade learning management system (LMS)
  • Enterprise dashboards for individuals and teams
  • 24x7 learner assistance and support

Exam & Certification

Duration: 65 minutes (exam) + 10 minutes (Non-Disclosure Agreement/Tutorial)

Number of Questions: 40

Format: Single-choice and multiple-choice questions

Passing Score: 70% 

Language: English

Python Training

Frequently Asked Questions

  • BI Managers and Project Managers
  • Software Developers and ETL Professionals
  • Analytics Professionals
  • Big Data Professionals
  • Those who wish to have a career in Python

You don’t need any specific knowledge to learn Python. A basic knowledge of programming can help you.