Python Programming

Python Programming

Learn python programming from industry experts and master python programming with real-time projects.

$88 / ₹7500 for 6 Months

15 Modules

18.92 Hours

Course Modules
Videos
  1. Introduction to Python
    Preview 25 Mins : 0


  2. Python On Windows
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    12 Mins : 0


  3. Python On Linux
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    6 Mins : 0


  4. Executing_Python Scripts
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    22 Mins : 0


Documents
  1. Introduction to Python Course Material

Premium Features New
Videos
  1. Flow Control Conditional Execution
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    33 Mins : 0


  2. For Loop Break and Continue
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    28 Mins : 0


  3. While Loop Break and Continue
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    19 Mins : 0


  4. While Loop
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    27 Mins : 0


Documents
  1. Flow Control Conditional Execution Course Material

Premium Features New
Videos
  1. Working with Modules
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    42 Mins : 0


  2. Classes and Objects
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    54 Mins : 0


  3. Operator Overloading
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    37 Mins : 0


  4. Serializaition
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    24 Mins : 0


  5. Class Variables and Methods
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    27 Mins : 0


  6. Inheritance
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    36 Mins : 0


Documents
  1. OOPs Course Material
  2. Object Serialization Course Material
  3. Modules and Import Course Material

Premium Features New
Videos
  1. Reading from URL
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    9 Mins : 0


  2. Regular Expressions
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    8 Mins : 0


  3. Using Pip
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    11 Mins : 0


  4. Virtual Environment
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    56 Mins : 0


  5. Args and Kwargs
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    54 Mins : 0


Documents
  1. Regular Expressions Course Material

Premium Features New
Videos
  1. Working with CSV Files
    Watch Now
    29 Mins : 0


  2. Working with MySQL DB
    Watch Now
    55 Mins : 0


Documents

Premium Features New

OVERVIEW

Python is an interpreted high-level programming language for generalpurpose programming.Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasizes code readability and a syntax that allows programmers to express concepts in fewer lines of code. It provides constructs that enable clear programming on both small and large scales. Python features a dynamic type of system and automatic memory management. It supports multiple programming paradigms, including objectoriented, functional and procedural and has a large and comprehensive standard library. Python interpreters are available for many operating systems.

COURSE OBJECTIVES

  • Understand fundamental programming concepts and their implementation in Python.
  • Master Python syntax, data types, and basic control structures
  • Learn to write and use functions effectively in Python programs.
  • Gain proficiency in working with lists, tuples, dictionaries, and sets.
  • Develop skills in object-oriented programming using Python classes and inheritance.
  • Understand and implement error handling and exception management.
  • Learn to work with modules and packages to organize and reuse code.
  • Develop practical skills in debugging and testing Python programs.
  • Gain experience in solving real-world problems using Python libraries and frameworks.

PRE-REQUISITES

  • Basic computer skills (file management, using a text editor).
  • Familiarity with fundamental programming concepts (variables, loops, functions).
  • Understanding of basic mathematics (algebra, logic).
  • Ability to install software on your computer.
  • Access to a computer with internet connection.
  • Knowledge of file types and extensions.
  • Basic problem-solving skills.
  • Patience and willingness to learn through trial and error
  • Comfortable with text-based interfaces (command line/terminal)
  • Ability to type proficiently.

WHO CAN DO THIS COURSE

  • Students and professionals interested in learning programming.
  • Beginners with no prior coding experience.
  • Computer science or IT students looking to expand their skills.
  • Data analysts and scientists seeking to automate tasks.
  • Web developers wanting to add backend skills.
  • Software testers aiming to create test automation scripts.
  • Entrepreneurs interested in building their own applications.
  • Business professionals looking to improve their technical literacy.
  • Anyone with a logical mindset and problem-solving aptitude.
  • Hobbyists curious about coding and software development

TRAINING AT BITC (BestITCourses)

  • We teach every topic conceptually and then demonstrate the same practically with real-time use cases so that you can directly implement the gained knowledge in your on-job role
  • You will get courseware which is of very high standard and will be very helpful in preparation for interviews
  • You can access videos and live sessions with your subscription. Videos can be used for learning the subject and practicing. Live sessions can be used for directly interacting with the trainer and clarifying doubts then and there.
  • By following the structured journey laid out by faculty, we assure you of becoming a proficient in Python concepts for AI and ML.

TOOLS/SKILLS LEARNED

  • Python Interpreters, IDEs, & command-line interpreter.
  • Various text editors and IDEs (e.g., PyCharm, VS Code, Jupyter Notebook)
  • Python Standard Library & Modules
  • csv and openpyxl for working with structured data
  • Database Management Tools
  • MySQL database setup and management
  • SQL execution through Python scripts
  • Development & Debugging Tools
  • Debugging tools and techniques for Python
  • Using exception handling for error tracking

Instructor

sandeep soni

Meet Your Certified Trainer

Your Trainer - Rahul Rampurkar 28+ years of Experience

Rahul Rampurkar, Director at Deccansoft, is a Microsoft Certified Trainer with 28 years of IT experience. He’s an expert in Azure, AWS, Java, Python, and Data Science (DP-100).

Rahul is a Software Architect who has technically designed the organization. He handles projects related to the Java platform and is involved in database design and related issues.

Know more about Rahul Rampurkar - https://www.bestitcourses.com/trainers/rahulrampurkar

Follow him on LinkedIn - https://www.linkedin.com/in/rahulrampurkar/

Certifications
  • AWS Solution Architect Professional
  • Microsoft Certified Trainer
  • Microsoft Azure Administrator
  • Microsoft Azure Data Scientist
Pre-requisites:
  • Basic computer skills (file management, using a text editor).
  • Familiarity with fundamental programming concepts (variables, loops, functions).
  • Understanding of basic mathematics (algebra, logic).
  • Ability to install software on your computer.
  • Access to a computer with internet connection.
  • Knowledge of file types and extensions.
  • Basic problem-solving skills.
  • Patience and willingness to learn through trial and error
  • Comfortable with text-based interfaces (command line/terminal)
  • Ability to type proficiently.

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