Python Certification Course
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This Python certification course will give you hands-on development experience and prepare you for an exciting career... MSRP: Was: Now: $824 (You save ) Brand SIMPLILEARN SKU: S-PYTHON UPC: Duration: 3 Months Delivery: eLearning Course Date : Course Date: Optional Current Stock: Quantity: Increase Quantity: Decrease Quantity: Adding to cart… The item has been added Request a Quote Share this course Facebook Email Print Twitter Linkedin Pinterest Home All Courses Python Certification Course Python Certification Course Python Training Course will teach you the basics of Python, data operations, conditional statements, shell scripting, and Django. This Python certification course will give you hands-on development experience and prepare you for an exciting career as a professional Python programmer. Course Overview Course Content Exam & Certification FAQs About the course This Python Training course covers the fundamentals of Python and how to apply it to real-world applications. The modules, lesson-end projects, and assignments comprising the curriculum cover data operations in Python, strings, conditional statements, error handling, shell scripting, web scraping and the commonly used Python web framework Django. The StackOverflow's developer survey of 2019 states that Python is the second most loved programming language in the world. Also, it is the most sought after programming language for Data Scientists, AI engineers, and Machine Learning engineers. Python developers earn around $115,000 per annum. Eligibility Anyone interested in learning Python for software development or data science job roles will benefit from this Python certification. This Python course also is well-suited for: Software developers Software engineers Technical leads Architects Programming enthusiasts Pre-requisites No prior programming knowledge or experience is necessary to take this online Python course. Skills Covered Web scraping Objectoriented programming Operators Methods Django Indexing Sets Dictionaries Conditional statements Loops Functions File handling Errors and exceptions Shell scripting Course Content Section 01 - Self Paced Learning Curriculum Lesson 01: Python Basics 1.1 Course Introduction 1.2 Learning Objectives 1.3 Introduction to Python and It s Features 1.4 Python Introduction - Uses and Flavours 1.5 Python Introduction - Why Python 1.6 Software Installation and Environment Setup 1.7 Demo: Software Installation and Environment setup 1.8 Data Types 1.9 Input Output Functions 1.10 Demo: Data Types and Input Output Functions 1.11 Key Takeaways Lesson 02: Data Operations 2.1 Learning Objectives 2.2 Data Type Conversion 2.3 Arithematic Operators 2.4 Comparision Operators 2.5 Assignment Operators 2.6 Bitwise Operators 2.7 Demo: Data Operations 2.8 String Methods 2.9 Demo: String Operations 2.10 List Methods 2.11 Demo: List Operations 2.12 Tuple Methods 2.13 Demo: Tuple Operations 2.14 Sets Methods 2.15 Dictionary Methods 2.16 Demo: Dictionary Operations 2.17 Key Takeaway Lesson 03: Conditional Statements and Functions 3.1 Learning Objective 3.2 Expressions 3.3 Conditional Statement 3.4 Demo - Conditional Statement 3.5 Loops - for loop 3.6 Loops - while loop 3.7 Demo - Loops 3.8 Functions 3.9 Demo - Functions 3.10 Key Takeaway Lesson 04: Error Handling and File Operations 4.1 Learning Objective 4.2 File Handling 4.3 Demo - File Handling 4.4 Errors 4.5 Exceptions 4.6 Demo - Errors and Exceptions 4.7 Logging 4.8 Demo - Logging 4.9 Python Debugger(Pdb Module) 4.10 Demo - Python Debugger 4.11 Objects and Classes 4.12 Objects and functions 4.13 Demo - Object Oriented Programming 4.14 Key Takeaway Lesson 05: Shell Scripting and Django 5.1 Learning Objective 5.2 Shell Scripting 5.3 Sys, OS and Sub-Process module 5.4 Reading Writing Files and Working with Date-time Module 5.5 Demo - Shell Scripting in Python 5.6 Web Scrapping 5.7 Demo - Web Scrapping using Beautiful Soup 5.8 Django - Intro and Architecture 5.9 Demo - Django Installation 5.10 Key Takeaway Lesson 06: Logging Infrastructure 6.01 Learning Objectives 6.02 Introduction to Python Logging 6.03 Concepts of Python Logging 6.04 Changing the Format of Logs 6.05 Python Logger 6.06 Using Python Logging 6.07 Logging Handlers and Formatters 6.08 Logging Flow 6.09 Configuring Logging 6.10 Extending Logging 6.11 Buffering Logs 6.12 Logging Best Practices 6.13 Rotating Log Files 6.14 Logging to a File 6.15 Summary Lesson 07: Unittest Infrastructure 7.01 Learning Objective 7.02 Introduction to Unit Testing 7.03 Introduction to Unittest Framework 7.04 Concept of Unittest Framework 7.05 Command Line 7.06 Python Unittest 7.07 Using Python Unittest 7.08 Testing for Exceptions 7.09 Test Fixtures 7.10 Python Assertions 7.11 Classes and Functions 7.12 Pros and Cons 7.13 Mock object library 7.14 Summary Lesson 08: Networking Concepts 8.01 Learning Objective 8.02 Introduction to Python Networking 8.03 Sockets 8.04 Socket Programming 8.05 Working with Python Networking 8.06 Data Models 8.07 Building Client-Server Communication 8.08 Socket Types 8.09 TCP Sockets 8.10 The Tornado Frameworrk 8.11 Building a Python Chat Server 8.12 Summary What do I need to do to unlock my certificate? To obtain the Python certification, you must: Complete 85 percent of the online self-learning course Successful evaluation in the project FAQs I have basic knowledge of Python and looking to explore a career in Data Science. Do you provide any course related to this? Yes, we do provide Data Science with Python course for the aspirants who are looking to make their career in Data Science. It is recommended to enroll in this course to gain knowledge in data analysis, machine learning, data visualization, web scraping, and natural language processing. How do I enrol in this online training? You can enrol in this training on our website and make an online payment using any of the following option Visa Credit or Debit Card MasterCard American Express Diners Club PayPal Once payment is received, you will automatically receive a payment receipt and access information via email. 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