Python Course

Master the professional way of developing an advanced application with industrial standards. Create and build your own application by exploring Python. This Training will help you be an expert in Python Structures, Dynamic Typing, Various Operators–Assignment, Arithmetic, Relational, Logical, and Bitwise Operators, types of functions, OS Modules, CSV, and PDB.

Python course - Sidhi Trainings

Python Training Projects

The practical projects that you will work on during this certification training include:

  • Designing complicated engineering problems’ solutions as well as system elements or processes that satisfy the required requirements while taking into account public health and safety, cultural, socioeconomic, and environmental factors is essential.
  • With an awareness of the constraints, develop, pick, and apply appropriate methods, resources, and contemporary engineering and IT technologies, such as prediction and modelling, to complicated engineering processes.
  • Understand the importance of, and be prepared for, autonomous, lifelong learning in the fullest sense of technological development.

Cloud computing software and technology are active in organizations for virtually every business in their critical operations and processes. As a result, AWS continues to be the leader in cloud services for more than the last five years. AWS leads the market in various aspects of cloud processing, databases, storage systems, delivery systems, and applications that will scale to any organization’s needs.

AWS certified professionals are one of the highest-paid.

AWS Courses offer the most in-depth training to help you meet the demand from diverse technology companies. The trainings will set you up on a successful AWS career path.

The AWS Online Training Certification will Give You Studying and Practical expertise in:

  • Amazon cloud computing
  • Designing, Planning, and Scaling AWS Infrastructure
  • Using AWS Best Practices
  • SaaS, IaaS and PaaS Deployment
  • Cost evaluation and control
  • EC2 Resource
  • Flexible adaptation of AWS applications

The above Strategy and Deploy are considered to be the most Important AWS Infrastructure According to Computational content and safety requirements. Our AWS online training Certification Access to a repository of sample interview questions on each topic, and many Missions, simulation of tests. We also provide Lifetime Access to our Digital Training curriculum, includes real-time industry-oriented projects in Competitive prices with Library, 24/7 Support, Placement Guidance and Resume preparation assistance too.

There are no particular prerequisites for taking an AWS Certification Training. Graduates and professionals with a basic understanding of IT Service Management can also take this training. Basic knowledge of a programming language would be helpful for this Certification programme.


  • Python Overview
  • About Interpreted Languages
  • Advantages/Disadvantages of Python pydoc
  • Starting Python
  • Interpreter PATH
  • Using the Interpreter
  • Running a Python Script
  • Python Scripts on UNIX/Windows
  • Python Editors and IDEs.
  • Using Variables
  • Keywords
  • Strings Different Literals
  • Math Operators and Expressions
  • Writing to the Screen
  • String Formatting
  • Command Line Parameters and Flow Control
  • Built-in Functions
  • Lists
  • Tuples
  • Indexing and Slicing
  • Iterating through a Sequence
  • Functions for all Sequences
  • Using Enumerate()
  • Operators and Keywords for Sequences
  • Dictionaries and Sets
  • The xrange() function
  • List Comprehensions
  • Generator Expressions
  • Functions
  • Function Parameters
  • Global Variables
  • Variable Scope and Returning Values. Sorting
  • Alternate Keys
  • Lambda Functions
  • Sorting Collections of Collections
  • Sorting Dictionaries
  • Sorting Lists in Place
  • Errors and Exception Handling
  • Handling Multiple Exceptions
  • The Standard Exception Hierarchy
  • Using Modules
  • The Import Statement
  • Module Search Path
  • Package Installation Ways
  • The Sys Module
  • Interpreter Information
  • Launching External Programs
  • Paths Directories and Filenames
  • Walking Directory Trees
  • Math Function
  • Random Numbers
  • Dates and Times
  • Zipped Archives
  • Introduction to Python Classes
  • Defining Classes
  • Initializers
  • Instance Methods
  • Properties
  • Class Methods and DataStatic Methods
  • Private Methods and Inheritance
  • Module Aliases and Regular Expressions.
  • Debugging
  • Dealing with Errors
  • Using Unit Tests
  • Project Skeleton
  • Required Packages
  • Creating the Skeleton
  • Project Directory
  • Final Directory Structure
  • Testing your Setup
  • Using the Skeleton
  • Creating a Database with SQLite 3
  • CRUD Operations
  • Creating a Database Object
  • Introduction to Machine Learning
  • Areas of Implementation of Machine Learning
  • Why Python
  • Major Classes of Learning Algorithms
  • Supervised vs Unsupervised Learning
  • Learning NumPy
  • Learning Scipy
  • Basic plotting using Matplotlib
  • Machine Learning application
  • Classification Problem
  • Classifying with k-Nearest Neighbours (kNN)
  • Algorithm
  • General Approach to kNN
  • Building the Classifier from Scratch
  • Testing the Classifier
  • Measuring the Performance of the Classifier
  • lustering Problem
  • Introduction to Scikit-Learn
  • Inbuilt Algorithms for Use
  • What is Hadoop and why it is popular
  • Distributed Computation and Functional Programming
  • Understanding MapReduce Framework Sample
  • Map Reduce Job Run
  • PIG and HIVE Basics
  • Streaming Feature in Hadoop
  • Map Reduce Job Run using Python
  • Writing a PIG UDF in Python
  • Writing a HIVE UDF in Python
  • Pydoop and MRjob Basics
  • Real World Project

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