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3.5 (9 reviews)
( 63 Students )
10 Hours


Python Programming in a nutshell

Crash course on Python. Python basics to objects, functions, sequences, components, recursion, dictionary, GUI programming, NumPy, SciPy, web scraping
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Python is a strong and easy-to-learn programming language. It offers efficient high-level data structures and an object-oriented programming technique that is simple yet effective. Python's beautiful syntax and dynamic typing, as well as its interpreted nature, make it an excellent language for scripting and quick application development across a wide range of platforms.

You'll study the foundations of the Python programming language, as well as programming best practises, in this course. You'll learn how to utilise Python data types and variables to represent and store data, as well as conditionals and loops to control the flow of your applications. To store groups of linked data, you'll use complicated data structures like lists, sets, dictionaries, and tuples. You'll develop scripts, define and describe your own custom functions, and handle failures. Finally, you'll learn how to utilise the Python Standard Library and other third-party libraries to identify and use modules. The official instructional may be found here. It covers all of the fundamentals and takes you on a tour of the language and standard library. For individuals who seek a short introduction to the language, this book is a good choice.

Course/Topic - Python Programming in a nutshell - all lectures

  • Episode 1 - Python Programming Introduction

    • 27:36
  • Episode 2 - Numbers - Objects - Graphics

    • 28:15
  • Episode 3 - Sequences - Lists - Strings - Files

    • 30:41
  • Episode 4 - Defining Functions

    • 25:13
  • Episode 5 - Decision Structures

    • 30:40
  • Episode 6 - Loop Structures and Boolean

    • 37:37
  • Episode 7 - Simulation and Design

    • 29:15
  • Episode 8 - Defining Classes

    • 49:00
  • Episode 9 - Data Collections

    • 35:18
  • Episode 10 - Object Oriented Design - part 1

    • 26:26
  • Episode 11 - Object Oriented Design - part 2

    • 27:46
  • Episode 12 - Algorithm Design and Recursion - part 1

    • 24:54
  • Episode 13 - Algorithm Design and Recursion - part 2

    • 25:50
  • Episode 14 - Dictionary - Modules - File IO

    • 35:59
  • Episode 15 - GUI Programming with Python

    • 20:20
  • Episode 16 - Python in Nutshell

    • 18:00
  • Episode 17 - NumPy and SciPy

    • 13:51
  • Episode 18 - High Performance Components of Python

    • 15:31
  • Episode 19 - Real-world Applications of Python - part 1

    • 13:56
  • Episode 20 - Real-world Applications of Python - part 2

    • 06:54
  • Episode 21 - Web Scraping with Python

    • 1:03:03
Objectives Back to Top

Course outcomes

·       The basic design cycle in computer science and programming: creating code, running it, analysing the results, and modifying the code syntax depending on the results.

·       Use of variables, mathematical operators, logical operators, and Boolean arithmetic, which are the essential components of programming.

·       Conditionals, loops, functions, and error handling are control structures for constructing dynamic applications, including Python libraries.

·       Strings, lists, dictionaries, and file manipulation are the most important data structures for developing usable applications.

·       Sneak peeks into the next major things in computer science, such as object-oriented programming and computer algorithms.

Syllabus Back to Top

1.      Python Programming Introduction

2.      Numbers - Objects - Graphics

3.      Sequences - Lists - Strings - Files

4.      Defining Functions

5.      Decision Structures

6.      Loop Structures and Boolean

7.      Simulation and Design

8.      Defining Classes

9.      Data Collections

10.  Object Oriented Design - part 1

11.  Object Oriented Design - part 2

12.  Algorithm Design and Recursion - part 1

13.  Algorithm Design and Recursion - part 2

14.  Dictionary - Modules - File IO

15.  GUI Programming with Python

16.  Python in Nutshell

17.  NumPy and SciPy

18.  High Performance Components of Python

19.  Real-world Applications of Python

20.  Web Scraping with Python

Certification Back to Top
Career & Jobs Back to Top
Interview Questions Back to Top

1) What is Python? What are the benefits of using Python?

Python is a programming language with objects, modules, threads, exceptions and automatic 

memory management. The benefits of pythons are that it is simple and easy, portable, extensible, 

build-in data structure and it is an open source.


2) What is PEP 8?

PEP 8 is a coding convention, a set of recommendation, about how to write your Python code 

more readable.


3) What is pickling and unpickling?

Pickle module accepts any Python object and converts it into a string representation and dumps it 

into a file by using dump function, this process is called pickling. While the process of retrieving 

original Python objects from the stored string representation is called unpickling.


4) How Python is interpreted?

Python language is an interpreted language. Python program runs directly from the source code. It 

converts the source code that is written by the programmer into an intermediate language, which 

is again translated into machine language that has to be executed.


5) How memory is managed in Python?

• Python memory is managed by Python private heap space. All Python objects and data 

structures are located in a private heap. The programmer does not have an access to this 

private heap and interpreter takes care of this Python private heap.

• The allocation of Python heap space for Python objects is done by Python memory 

manager. The core API gives access to some tools for the programmer to code.

• Python also have an inbuilt garbage collector, which recycle all the unused memory and 

frees the memory and makes it available to the heap space.


6) What are the tools that help to find bugs or perform static analysis?

PyChecker is a static analysis tool that detects the bugs in Python source code and warns about 

the style and complexity of the bug. Pylint is another tool that verifies whether the module meets 

the coding standard.


7) What are Python decorators?

A Python decorator is a specific change that we make in Python syntax to alter functions easily


8) What is namespace in Python?

In Python, every name introduced has a place where it lives and can be hooked for. This is known 

as namespace. It is like a box where a variable name is mapped to the object placed. Whenever 

the variable is searched out, this box will be searched, to get corresponding object.


9) What is lambda in Python?

It is a single expression anonymous function often used as inline function.


10) Why lambda forms in python does not have statements?

A lambda form in python does not have statements as it is used to make new function object and 

then return them at runtime.


11) What is pass in Python?

Pass means, no-operation Python statement, or in other words it is a place holder in compound 

statement, where there should be a blank left and nothing has to be written there


12) How can you share global variables across modules?

To share global variables across modules within a single program, create a special module. Import 

the config module in all modules of your application. The module will be available as a global 

variable across modules.


13) Explain how can you make a Python Script executable on Unix?

To make a Python Script executable on Unix, you need to do two things,

• Script file's mode must be executable and

• the first line must begin with # ( #!/usr/local/bin/python)


14) Explain how to delete a file in Python?

By using a command os.remove (filename) or os.unlink(filename)


15) Explain how can you generate random numbers in Python?

To generate random numbers in Python, you need to import command as

import random


This returns a random floating point number in the range [0,1]

Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

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A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.

Q6. Can I get study material with the course?
A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php

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Q16. Do you provide software access with video course?
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Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.