Python Training

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Python Course Overview

TekSlate’s Python training allows you to learn Python programming and develop programs to perform different logical and mathematical operations. It also teaches you how to use Python concepts and libraries in different fields like Cloud computing, data science, data analytics, etc. Along with the interactive training sessions, we also offer projects, industry scenarios to impart a practical understanding of Packages, Modules, Tuples, Sets, Dictionary, Exception Handling, Regular Expressions, Classes, Multi-threading, and Web Scraping. Trainees will also master Django, Matplotlib, NumPy, and Pandas. Join our Python online training to be the best in the market.
Course Duration 20 hrs
Live Projects 2
Next Batch 16 October, 2021

Python Course Curriculum

  • What is Script, program?
  • Types of Scripts
  • Difference between Script and Programming Languages
  • Features and Limitation of Scripting
  • Types of Programming Language Paradigms
  • What is Python?
  • Why Python?
  • Who Uses Python?
  • Characteristics of Python
  • History of Python
  • What is PSF?
  • Python Versions
  • How to Download and Install Python
  • Install Python with Diff IDEs
  • Features and Limitations of Python
  • Python Applications
  • Creating Your First Python Program
  • Printing to the Screen
  • Reading Keyboard Input
  • Using Command Prompt and GUI or IDE
  • Python Distributions
  • Execute the Script
  • Interactive and Script Mode
  • Python File Extensions
  • Setting path in Windows
  • The clear screen inside python
  • Learn Python Main Function
  • Python Comments
  • Quit the Python Shell
  • Shell as a Simple Calculator
  • Order of operations
  • Multiline Statements
  • Quotations in Python
  • Python Path Testing
  • Joining two lines
  • Python Implementation Alternatives
  • Sub Packages in Python
  • Uses of Python in Data Science, IoT
  • Working with Python in Unix/Linux/Windows/Mac/Android
  • PyCharm IDE
  • How to Work on PyCharm
  • PyCharm Components
  • Debugging process in PyCharm
  • Python Install Anaconda
  • What is Anaconda?
  • Coding Environments
  • Spyder Components
  • General Spyder Features
  • Spyder Shortcut Keys
  • Jupyter Notebook
  • What is Conda and Conda List?
  • Jupyter and Kernels
  • What is PIP?
  • What is a Variable?
  • Variables and Constants in Python
  • Variable, Variable names and Value
  • Mnemonic Variable Names
  • Values and Types
  • What Does “Type” Mean?
  • Multiple Assignment
  • Python different numerical types
  • Standard Data Types
  • Operators and Operands
  • Order of Operations
  • Swap variables
  • Python Mathematics
  • Type Conversion
  • Mutable Versus Immutable Objects
  • What is a string?
  • String operations and indices
  • Basic String Operations
  • String Functions, Methods
  • Delete a string
  • String Multiplication and concatenation
  • Python Keywords, Identifiers, and Literals
  • String Formatting Operator
  • Structuring with an indentation in Python
  • Built-in String Methods
  • Define Data Structure
  • Data Structures in Python
  • Arithmetic, Relational Operators and Comparison Operators
  • Python Assignment Operators
  • Shorthand Assignment Operators
  • Logical Operators or Bitwise Operators
  • Membership Operators
  • Identity Operators
  • Operator precedence
  • Evaluating Expressions
  • How to use “if condition” in conditional structures
  • if statement (One-Way Decisions)
  • if .. else statement (Two-way Decisions)
  • How to use “else condition”
  • if .. elif .. else statement (Multi-way)
  • When “else condition” does not work
  • How to use “elif” condition
  • How to execute the conditional statement with minimal code
  • Nested IF Statement
  • How to use “While Loop” and  “For Loop”
  • How to use For Loop for set of other things besides numbers
  • Break statements, Continue statement, Enumerate function for For Loop
  • Practical Example
  • How to use for loop to repeat the same statement over and again
  • Break, continue statements
  • Accessing Values in Strings
  • Various String Operators
  • Some more examples
  • Python String replace() Method
  • Changing upper and lower case strings
  • Using “join” function for the string
  • Reversing String
  • Split Strings
  • Strings
  • Unicode Strings
  • Lists
  • Tuples
  • buffers
  • xrange
  • Lists are mutable
  • Getting to Lists
  • List indices
  • Traversing a list
  • List operations, slices and methods
  • Map, filter and reduce
  • Deleting elements
  • Lists and strings
  • Advantages of Tuple over List
  • Packing and Unpacking
  • Comparing tuples
  • Creating nested tuple
  • Using tuples as keys in dictionaries
  • Deleting Tuples
  • Slicing of Tuple
  • Tuple Membership Test
  • Built-in functions with Tuple
  • Dotted Charts
  • How to create a set?
  • Iteration Over Sets
  • Python Set Methods
  • Python Set Operations
  • Union of sets
  • Built-in Functions with Set
  • Python Frozenset
  • How to create a dictionary?
  • Python Hashing
  • Python Dictionary Methods
  • Copying dictionary
  • Updating Dictionary
  • Delete Keys from the dictionary
  • Dictionary items() Method
  • Sorting the Dictionary
  • Python Dictionary in-built Functions
  • Dictionary len() Method
  • Variable Types
  • Python List cmp() Method
  • Dictionary Str(dict)
  • What is a function?
  • How to define and call a function in Python
  • Types of Functions
  • Significance of Indentation (Space) in Python
  • How Function Return Value?
  • Types of Arguments in Functions
  • Default Arguments and Non-Default Arguments
  • Keyword Argument and Non-keyword Arguments
  • Arbitrary Arguments
  • Rules to define a function in Python
  • Various Forms of Function Arguments
  • Scope and Lifetime of variables
  • Nested Functions
  • Call By Value, Call by Reference
  • Anonymous Functions/Lambda functions
  • Passing functions to function
  • map(), filter(), reduce() functions
  • What is a Docstring?
  • What is a Module?
  • Types of Modules
  • The import Statement
  • The from…import Statement
  • ..import * Statement
  • Underscores in Python
  • The dir( ) Function
  • Creating User-defined Modules
  • Command-line Arguments
  • Python Module Search Path
  • What is a Package?
  • Introduction to Packages
  • py file
  • Importing module from a package
  • Creating a Package
  • Creating Sub Package
  • Importing from Sub-Packages
  • Popular Python Packages
  • How to Use Date & DateTime Class
  • How to Format Time Output
  • How to use Timedelta Objects
  • Calendar in Python
  • DateTime classes in Python
  • How to Format Time Output?
  • The Time Module
  • Python Calendar Module
  • Python Text Calendar, HTML Calendar Class
  • Unix Date and Time Commands

  • How to Use Date & DateTime Class

  • How to Format Time Output

  • How to use Timedelta Objects

  • Calendar in Python

  • DateTime classes in Python

  • How to Format Time Output?

  • The Time Module

  • Python Calendar Module

  • Python Text Calendar, HTML Calendar Class

  • Unix Date and Time Commands

  • What is a data, Information File?
  • File Objects
  • File Different Modes and Object Attributes
  • How to create a Text File and Append Data to a File and Read a File
  • Closing a file
  • Read, read line, read lines, write, write lines
  • Renaming and Deleting Files
  • Directories in Python
  • Working with CSV files and  CSV Module
  • Handling IO Exceptions
  • Shell Script Commands
  • Various OS operations in Python
  • Python File System Shell Methods
  • Python Errors
  • Common RunTime Errors in Python
  • Abnormal termination
  • Chain of importance Of Exception
  • Exception Handling
  • Try … Except
  • Try .. Except .. else
  • Try … finally
  • Argument of an Exception
  • Python Custom Exceptions
  • Ignore Errors
  • Assertions
  • Using Assertions Effectively
  • Python Iterators, 
  • Generators 
  • Closures 
  • Decorators  
  • Python @property
  • Introduction to OOPs Programming
  • Object-Oriented Programming System
  • OOPS Principles
  • Define Classes
  • Creating Objects
  • Class variables and Instance Variables Constructors
  • Basic concept of Object and Classes
  • Access Modifiers
  • How to define Python classes
  • Python Namespace
  • Self-variable in python
  • Garbage Collection
  • What is Inheritance? 
  • Types of Inheritance
  • How Inheritance works?
  • Python Multiple Inheritance
  • Overloading and Overriding
  • Polymorphism
  • Abstraction
  • Encapsulation
  • Built-In Class Attributes
  • What is Regular Expression?
  • Regular Expression Syntax
  • Understanding Regular Expressions
  • Regular Expression Patterns
  • Literal characters
  • Repetition Cases
  • Example of w+ and ^ Expression
  • Example of \\\\\\\\s expression in re.split function
  • Using regular expression methods
  • Using re.match()
  • Finding Pattern in Text (re.search())
  • Using re.findall for text
  • Python Flags
  • Methods of Regular Expressions
  • What is XML?
  • Difference between XML and HTML  and XML, JSON, Gson
  • How to Parse XML and Create XML Node
  • Python vs JAVA
  • XML and HTML
  • What is Database? 
  • Types of Databases
  • What is DBMS and RDBMS?
  • What is Big Data? 
  • Types of data
  • Oracle
  • MySQL
  • SQL server
  • DB2
  • Postgresql
  • Executing the Queries
  • Bind Variables
  • Installing of Oracle Python Modules
  • Executing DML Operations
  • What is Multithreading
  • Threading Module
  • Defining a Thread
  • Thread Synchronization
  • The components of a web page
  • BeautifulSoup
  • Urllib2
  • HTML,CSS,JS,jQuery
  • Data frames
  • PIP
  • Installing External Modules Using PIP
  • What is Testing?
  • Types of Testings and Methods
  • What is Unit Testing?
  • What is PyUnit?
  • Test scenarios, Test Cases, Test suites
  • Django – Design
  • Advantages of Django
  • MVC and MVT
  • Installing Django
  • Designing Web Pages
  • HTML5, CSS3, AngularJS
  • Python Flask, Bottle, Pyramid, Falcon
  • Introduction
  • Components and Events
  • Adding Controls
  • Entry Widget, Text Widget, Radio Button, Check Button
  • List Boxes, Menus, ComboBox.
  • Arrays and Matrices
  • Indexing of Array, Broadcasting of Array Math
  • Conditional Probability, Correlation, Standard Deviation, and Covariance
  • Building Graphs and Charts through Python
  • Scatter, Bar, Line, Subplots, 3D, Histogram, the API of subplots, and MatPlotLib.
  • Python Frames
  • Importing the data from CSV, JSON, Excel, NumPy array to dataframe, SQL database.
  • Data operations like Filtering, Viewing, Sorting, Combining, and Joining.
  • SciPy Fundamentals
  • Functions developing on Cluster, NumPy, optimize, signal, linalg, sub-packages, integrate, SciPy with Bayes Theorem.
For Individuals
For Corporates

Python Upcoming Batches

  • Weekend

    16 Oct - 15 Nov

    7:00 PM IST
  • Weekday

    18 Oct - 17 Nov

    7:00 AM IST
  • Weekend

    23 Oct - 22 Nov

    7:00 PM IST
  • Weekday

    25 Oct - 24 Nov

    7:00 AM IST
  • Weekend

    30 Oct - 29 Nov

    7:00 PM IST
  • Weekday

    1 Nov - 01 Dec

    7:00 AM IST
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    Python Course Objectives

    The main objective of this python training is to enhance your programming skills and help you start your professional career. It makes you an expert in developing web applications, game applications, enterprise applications, and system administration applications. With our content-rich Courseware, instructor-led training, LMS, and real-time experts, you will be able to advance your programming career.

    Having a fundamental understanding of programming concepts and OOPs is beneficial but not essential to join this Python training.
     

    This python training is ideal for Software developers, Big Data professionals, Analytics professionals, and ETL developers. Anyone who aspires to have a career in Python can take this Python training.
     

     

    Enterprises use Python to build Machine Learning, Artificial Intelligence, and Data Analysis based digital solutions. Python has widespread community support and provides various open-source frameworks and libraries that simplify application development. Python supports packages and modules, which assist code reuse and program modularity. The above-stated reasons make Python one of the best, and most demanded programming languages. According to Indeed.com, the salary of a Python developer in the US is around $108K per annum.

    During this Python training, you will master the following skills:

    • Python Features
    • Python Applications
    • Installing Python in different IDEs
    • Python main function
    • Jupyter Network
    • Type Conversion
    • String Functions
    • Identity Operators
    • Conditional and Loop statements
    • Lists, Tuples
    • Modules and Functions
    • Classes and Objects
    • Multi-threading
    • Django
    • NumPy and Matplotlib

    By the end of this Python training, you can apply for the best jobs in top MNCs. Following job roles are offered to Python professionals:

    • Python Developer
    • Full-Stack Developer
    • Web Developer
    • Data Analyst
    • Data Scientist

    Have More Questions

    Contact us

    Python Course FAQ's

    Have questions? We’ve got the answers. Get the details on how you can grow in this course.

    Python is an object-oriented, interpreted, and high-level programming language used for task automation, developing websites, data visualization, and data analysis. It is utilized by non-programmers like scientists and accountants.

    We can use Python either for Frontend or Backend. Its user-friendly syntax and extensive server-side utilization make Python an essential programming language for back-end development.

    Python is extremely productive in comparison to other programming languages like Java, C++, etc. Python is very popular due to its code readability and simple syntax.

    Python certification is intended for validating your understanding of Python programming and making you a certified python professional. 

    Following are the certifications of Python:

    • Certified Entry-Level Python Programmer
    • Certified Professional in Python Programming
    • Certified Associate in Python Programming
    • Certified Expert in Python Programming

    Follow these steps to get Python certification:

    • First, Join our Python training to learn how to write python programs.
    • After that, build some web and mobile applications to learn how to apply your proficiency in the real world.
    •  Clear the Python certification exam.

    TekSlate provides the best training for both freshers and experienced professionals. Our innovative learning platform and application-oriented learning experience allow you to upskill in python programming. Through our live projects, assignments, industry-based scenarios, self-paced videos, 24/7 supporting team, and updated course materials, you can clear the python certification exam.

    Python is used in various programming scenarios, from the web to games applications. Big companies like PayPal, Netflix, Dropbox use Python for pushing the boundaries of artificial intelligence, natural language processing, data science, etc. The Stack Overflow survey states that Python is the third most popular programming language. Considering its usage in various applications and industries, it is on a significant growth path. So if you have the right skills, you can have a promising career in Python. 

    You can contact our Tekslate support team, or you can send an email to info@tekslate.com for your queries.
     

    Have More Questions. Reach our Support Team

    Contact us

    Join a Free Python Demo Session

    See if this course is a fit for you by joining us for an online info session. You’ll meet our team, get an overview of the curriculum and course objectives, and learn about the benefits of being a student at Tekslate

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