SuMyPyLab
SuMyPyLab
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Polars SQLContext and Lazy Dataframe | Ploars SQLContext and Laziness | SuMyPyLab
Polars SQLContext and Lazy Dataframe | Ploars SQLContext and Laziness | SuMyPyLab
Polars - Data Analysis with Python
SQL with Python with Polars
Use SQL Queries with polars
SQL with Python with Polars DataFrame library
LazyFrame - Working with larger-than-memory datasets with Polars
Polars: Working with Data Larger than RAM memory
polars sqlcontext
polars sql query
polars sql
polars sql context
polars read sql
polars lazyframe
polars lazy frame
polars lazyframe vs dataframe
polars lazyframe to dataframe
polars dataframe to lazyframe
#dataanalysis
#dataanalytics
#datascience
#SuMyPyLab
#polars
Переглядів: 26

Відео

Python Polars | An Introduction to Polars | Polars DataFrame | Blazingly Fast DataFrame | SuMyPyLab
Переглядів 122Місяць тому
Python Polars | Introduction to Polars | Polars DataFrame | Blazingly Fast DataFrame | SuMyPyLab Python Tutorial Getting Started with the Polars in Python Python Polars: A Lightning-Fast DataFrame Library Getting Started with the Polars DataFrame Library Polar Tutorial Polars select filter Polars add columns Polars with_columns Polars lit Polars alias Polars vs pandas python polars tutorial Dat...
DuckDB Python Data Analytics | DuckDB Python | DuckDB OLAP Python | Python Visualization | SuMyPyLab
Переглядів 167Місяць тому
DuckDB Python Data Analytics | DuckDB Python | DuckDB OLAP Python | Python Visualization | SuMyPyLab Introduction to DuckDB: ua-cam.com/video/kcmbD-w3mqQ/v-deo.html Python Tutorial Viualization using DuckDB and Python Visulization suing Matplotlib Visulization using Plotly Express Visualization using Seaborn DuckDB for embedded database python Barplot DuckDB Python Treemap Chart using plotly Su...
DuckDB Database | High-performance vector database | Introduction to DuckDB | SuMyPyLab
Переглядів 1052 місяці тому
DuckDB Database | High-performance vector database | Introduction to DuckDB | SuMyPyLab What is DuckDB? An Introduction to DuckDB DuckDB - An in-process SQL OLAP database management system DuckDB for Data Analysis Serverless Data Analytics with DuckDB DuckDB in Action What is DuckDB and why it's the new tool for a data analyst DuckDB for beginners DuckDB Installation DuckDB Windows DuckDB setup...
Financial Charts using Mplfinance | Python Mplfinance Financial Charts | Part 2 | SuMyPyLab
Переглядів 2702 місяці тому
Financial Charts using Mplfinance | Python Mplfinance Financial Charts | Part 2 | SuMyPyLab Financial Charts using mplfinance | Mplfinance Financial Charts | Python Mplfinance | SuMyPyLab mplfinance python mplfinance candlestick ohlc mplfinance renko mplfinance pnf mplfinance point and figure python mplfinance plot python mplfinance candlestick_ohlc mplfinance python tutorial mplfinance plot mp...
Financial Charts using mplfinance | Mplfinance Financial Charts | Python Mplfinance | SuMyPyLab
Переглядів 3733 місяці тому
Financial Charts using mplfinance | Mplfinance Financial Charts | Python Mplfinance | SuMyPyLab mplfinance python mplfinance candlestick ohlc mplfinance renko mplfinance pnf mplfinance point and figure python mplfinance plot python mplfinance candlestick_ohlc mplfinance python tutorial mplfinance plot mplfinance line chart line chart in mplfinance mplfiance show_nontrading Financial Stock Chart...
Waterfall Chart in Python | Waterfall Chart | Waterfallchart | Waterfall Chart Plotly | SuMyPyLab
Переглядів 843 місяці тому
Waterfall Chart in Python | Waterfall Chart | Waterfallchart | Waterfall Chart Plotly | SuMyPyLab Creating Waterfall Chart using Plotly Creating Waterfall Chart using waterfallchart module Waterfall chart Python Waterfall chart horizontal Waterfall chart vertical How to create waterfall chart in python How to create waterfall chart in python plotly Waterfall chart in excel Waterfall chart in go...
SQL Joins with examples | SQL Joins explained | SQL joins DBMS | SQL Joins Venn Diagram | SuMyPyLab
Переглядів 573 місяці тому
SQL Joins with examples | SQL Joins explained | SQL joins DBMS | SQL Joins Venn Diagram | SuMyPyLab SQL Join: SQL Join statement is used to combine data or rows from two or more tables based on a common field between them. A join clause combines columns or attributes from two or more tables into a new table. Different Types of Joins are: inner join, outer join, left outer join, right outer join...
SQL SELECT for the Beginners | SQL Select | SQL Query | SQL Select Query | Learn SQL | SuMyPyLab
Переглядів 563 місяці тому
SQL SELECT for the Beginners | SQL Select | Learn SQL | SuMyPyLab The SELECT statement is the most commonly used command in Structured Query Language. It is used to access the records from one or more database tables and views. It also retrieves the selected data that follow the conditions we want. SQL SELECT SELECT Query SQL SELECT Statement SQL - SELECT Query SQL SELECT and SELECT WHERE Basic...
Python Plotly Scatter Animation and Bar Animation | Python Plotly Animation | SuMyPyLab
Переглядів 5234 місяці тому
Python Plotly Scatter Animation and Bar Animation | Python Plotly animation | SuMyPyLab In this lesson we'll learn how to create animated charts using Plotly Python. Chapters 1:53 Animated Bar Chart 10:00 Animated Scatter Chart Python Tutorial python plotly animation python plotly scatter animation python plotly bar animation python plotly animation tutorial python plotly animation slider How t...
Plotly Python Pie Chart | Pie Chart using Plotly Python | Pie Chart Plotly Python | SuMyPyLab
Переглядів 1124 місяці тому
Plotly Python Pie Chart | Pie Chart using Plotly Python | Pie Chart Plotly Python | SuMyPyLab data analysis and visualization for beginners Learn how to create beautiful pie charts using plotly python library. Pie plot using plotly python Pie Charts in Python Pie chart with plotly express Styled Pie Chart data analysis and visualization data visualization for data science data analysis and visu...
Plotly Python | Sunburst Treemap and Icicle Charts using Plotly Python | SuMyPyLab
Переглядів 1664 місяці тому
Plotly Python Sunburst Treemap and Icicle Charts| SuMyPyLab data analysis and visualization for beginners data analysis and visualization Sunburst Chart is a type of hierarchical chart that represents data in a circular format. It's particularly useful for visualizing hierarchical data with multiple levels. Each level of the hierarchy is represented by a ring, and each category within a level i...
Plotly Python Plots | Python Plotly Plotting | Getting Started with Python Plotly | SuMyPyLab
Переглядів 6244 місяці тому
Plotly Python Plots | Python Plotly Plotting | Getting Started with Python Plotly | SuMyPyLab Guide to interative plotting with plotly python | Fundamentals of plotly python | Basic Charts in plotly python | plotly python examples | plotly tutorial | plotly python install | plotly express | python plotly tutorial | python plotly bar chart | python plotly line chart | python plotly scatter plot ...
Regression Plot using Seaborn | Seaborn Regression Plots | Regression Plot | SuMyPyLab
Переглядів 1225 місяців тому
Regression Plot using Seaborn | Seaborn Regression Plots | regplot lmplot jointplot etc | SuMyPyLab data analysis and visualization for beginners data analysis and visualization Chapters 0:00 Introduction 0:30 What is regression analysis 1:09 Simple linear regression equation 1:29 Regression plot using pandas dataframe 4:15 Regression plot using CSV file 8:54 Regression plots using penguin data...
How to Create a Seaborn Correlation Heatmap in Python | Heatmap | Coorelation Matrix | SuMyPyLab
Переглядів 6615 місяців тому
How to create a seaborn correlation heatmap in Python | Heatmap | Coorelation Matrix | SuMyPyLab data analysis and visualization for beginners data analysis and visualization Chapters 0:00 Introduction 0:45 Basics of Correlation coefficient 4:18 Correlation Coefficients from CSV file (Stock Closing Prices) 8:15 Correlation Matrix and Heatmap using yfinance mdoule How to create a seaborn correla...
Python Control Flow Statements in one lesson | Python Control Flow | Branching | Loops | SuMyPyLab
Переглядів 1345 місяців тому
Python Control Flow Statements in one lesson | Python Control Flow | Branching | Loops | SuMyPyLab
Python Seaborn Heatmap Visualization | Seaborn Heatmap from MySQL Data | Data Science | SuMyPyLB
Переглядів 3445 місяців тому
Python Seaborn Heatmap Visualization | Seaborn Heatmap from MySQL Data | Data Science | SuMyPyLB
Seaborn Pairplot | Seaborn Jointplot | Visualization | Python | Seaborn | SuMyPyLab
Переглядів 5075 місяців тому
Seaborn Pairplot | Seaborn Jointplot | Visualization | Python | Seaborn | SuMyPyLab
Data Visualization using Python Seaborn | Data Science | Seaborn | Visualisation | SuMyPyLab
Переглядів 9 тис.5 місяців тому
Data Visualization using Python Seaborn | Data Science | Seaborn | Visualisation | SuMyPyLab
Python SQLAlchemy ORM CRUD Operations | SQLAlchemy | SuMyPyLab
Переглядів 2986 місяців тому
Python SQLAlchemy ORM CRUD Operations | SQLAlchemy | SuMyPyLab
CSV file to MySQL and MySQL to CSV file using Python SQLAlchemy | to_sql() | read_sql()| SuMyPyLab
Переглядів 2436 місяців тому
CSV file to MySQL and MySQL to CSV file using Python SQLAlchemy | to_sql() | read_sql()| SuMyPyLab
Python MySQL SQLAlchemy Pandas Matplotlib Plot | Data Visualization in Python | SuMyPyLab
Переглядів 9736 місяців тому
Python MySQL SQLAlchemy Pandas Matplotlib Plot | Data Visualization in Python | SuMyPyLab
Python MySQL Pandas Matplotlib Plot | Visualizing MySQL Data using Pandas and Matplotlib| SuMyPyLab
Переглядів 9096 місяців тому
Python MySQL Pandas Matplotlib Plot | Visualizing MySQL Data using Pandas and Matplotlib| SuMyPyLab
Accessing MySQL Database using Python with Exception Handling | mysql-connector-python | SuMyPyLab
Переглядів 1116 місяців тому
Accessing MySQL Database using Python with Exception Handling | mysql-connector-python | SuMyPyLab
Accessing MySQL Database using Python | using mysql-connector-python | SuMyPyLab
Переглядів 1656 місяців тому
Accessing MySQL Database using Python | using mysql-connector-python | SuMyPyLab
Interesting One Liners and Smaller Code Snippets in Python | SuMyPyLab
Переглядів 727 місяців тому
Interesting One Liners and Smaller Code Snippets in Python | SuMyPyLab
Matplotlib Subplots | Visualization in OOPs Style | Matplotlib | SuMyPyLab
Переглядів 797 місяців тому
Matplotlib Subplots | Visualization in OOPs Style | Matplotlib | SuMyPyLab
Data Visualization using Matplotlib Object Oriented Approach | Matplotlib | SuMyPyLab
Переглядів 1757 місяців тому
Data Visualization using Matplotlib Object Oriented Approach | Matplotlib | SuMyPyLab
Python match case statement | Python Conditional Statements | switch case alternative | SuMyPyLab
Переглядів 797 місяців тому
Python match case statement | Python Conditional Statements | switch case alternative | SuMyPyLab
Data Visualization in Python using matplotlib | Matplotlib | SuMyPyLab
Переглядів 1367 місяців тому
Data Visualization in Python using matplotlib | Matplotlib | SuMyPyLab

КОМЕНТАРІ

  • @niranjan_heroic
    @niranjan_heroic День тому

    thanks 🎉

    • @SuMyPyLab
      @SuMyPyLab День тому

      Thank you very much. Happy coding.

  • @payalsamanta4742
    @payalsamanta4742 6 днів тому

    share the notebook link

    • @SuMyPyLab
      @SuMyPyLab 5 днів тому

      Thanks for your genuine request. I'm really very sorry to mention that most of my codes are tested in the terminal, or IDEs such as PyCharm. So, no notebook is ready to be shared with you. You may run the codes in Jupyter notebooks yourself. Next time I will remember your request. Thanks, and best wishes.

  • @BonesFrielinghaus
    @BonesFrielinghaus 29 днів тому

    WTF...the irritating music. Christ!

    • @SuMyPyLab
      @SuMyPyLab 29 днів тому

      I am really sorry for this. Actually I didn't notice the mismatch. I should have used some lofi music or no music at all.

  • @niuzgamer3710
    @niuzgamer3710 2 місяці тому

    Thank you very much! excellent explanation, saved my code! :)

    • @SuMyPyLab
      @SuMyPyLab 2 місяці тому

      Thank you for your valuable feedback. Enjoy coding!

  • @anjitdamor1614
    @anjitdamor1614 2 місяці тому

    Thnks you are great

    • @SuMyPyLab
      @SuMyPyLab 2 місяці тому

      Thank you very much for your feedback. Happy coding.

  • @williamdaquilemacepeda4632
    @williamdaquilemacepeda4632 2 місяці тому

    Grettings from Ecuador. I love your video, I was looking for similar videos to use plotly's dynamic graphics. :D

    • @SuMyPyLab
      @SuMyPyLab 2 місяці тому

      So nice of you. Thank you very much. Happy coding!

  • @fwily2580
    @fwily2580 2 місяці тому

    Cool music!!! Can you make it louder?

    • @SuMyPyLab
      @SuMyPyLab 2 місяці тому

      Really sorry, I should have used some soft music. Actual this is one of my initial lessons.

  • @erbadagang
    @erbadagang 2 місяці тому

    good job

    • @SuMyPyLab
      @SuMyPyLab 2 місяці тому

      Thank you very much. Happy coding.

  • @siddhant9rockstar634
    @siddhant9rockstar634 2 місяці тому

    Best!!

    • @SuMyPyLab
      @SuMyPyLab 2 місяці тому

      Thanks a lot. Enjoy coding.

  • @hewenxinhewenxin
    @hewenxinhewenxin 2 місяці тому

    👏👏👏

    • @SuMyPyLab
      @SuMyPyLab 2 місяці тому

      Thank you very much.

  • @hewenxinhewenxin
    @hewenxinhewenxin 3 місяці тому

    👍

  • @hearthank8833
    @hearthank8833 3 місяці тому

    that great sir!, I have few question , how can i apply this with subplot?. I need to visualize 2 animation bar graph

    • @SuMyPyLab
      @SuMyPyLab 3 місяці тому

      Thanks for your comment. This is a valid requirement. OK, I will try sometime later to prepare such a lesson. You may also try on your own. The concept is the same. Happy coding.

  • @Luminouslifelines27
    @Luminouslifelines27 3 місяці тому

    Nice dj music to dance 😂😂😂😂

    • @SuMyPyLab
      @SuMyPyLab 3 місяці тому

      I am really sorry!

  • @delightfulThoughs
    @delightfulThoughs 3 місяці тому

    Music was good, maybe volume down a bit, the voice is incredible. Great job!

    • @SuMyPyLab
      @SuMyPyLab 3 місяці тому

      Thanks for your encouraging feedback. Happy coding.

  • @Pankaj-Verma-
    @Pankaj-Verma- 3 місяці тому

    Thanks.

    • @SuMyPyLab
      @SuMyPyLab 3 місяці тому

      So nice of you.

  • @nasirruddin778
    @nasirruddin778 3 місяці тому

    Great vedio

    • @SuMyPyLab
      @SuMyPyLab 3 місяці тому

      Thanks a lot for your encouraging remarks.

    • @nasirruddin778
      @nasirruddin778 3 місяці тому

      @@SuMyPyLab can you upload data set to practice like explained in vedio

    • @SuMyPyLab
      @SuMyPyLab 3 місяці тому

      @nasirruddin778 You may download the data from this link github.com/SuMyPyLab/Seaborn/

  • @oscar86077
    @oscar86077 4 місяці тому

    muy bueno

    • @SuMyPyLab
      @SuMyPyLab 4 місяці тому

      Thanks a lot for your feedback.

  • @sintayehugedifew1431
    @sintayehugedifew1431 4 місяці тому

    Great! Thank you! Please keep it up!

    • @SuMyPyLab
      @SuMyPyLab 4 місяці тому

      Thanks a lot for your encouraging remarks. Wish you all the best.

  • @danielnavea5712
    @danielnavea5712 4 місяці тому

    I loved it 😁

    • @SuMyPyLab
      @SuMyPyLab 4 місяці тому

      Thanks for your encouraging feedback.

  • @bensalahali30
    @bensalahali30 4 місяці тому

    Great

    • @SuMyPyLab
      @SuMyPyLab 4 місяці тому

      Thanks for your encouraging feedback. Sukraan.

  • @wazzadec16
    @wazzadec16 4 місяці тому

    Great stuff!

    • @SuMyPyLab
      @SuMyPyLab 4 місяці тому

      Thanks a lot for your valuable feedback.

  • @refleckshan2467
    @refleckshan2467 4 місяці тому

    Awesome your videos are always helpful.

    • @SuMyPyLab
      @SuMyPyLab 4 місяці тому

      Happy to hear that. So nice of you. Thanks a lot.

  • @electron46
    @electron46 4 місяці тому

    Excellent information in your video. And the annoying music is there to, what, make it more tedious to understand the speaker?

    • @SuMyPyLab
      @SuMyPyLab 4 місяці тому

      Thank you very much for constructive feedback. I'm really sorry to hear that the background music is annoying. I kept the volume to the minimum so that the voice is heard without any disturbance. I include the background music as a filler to absence of voice. Ok, thanks again, I will keep your view in my mind. Bye!

  • @jfmjaco5941
    @jfmjaco5941 5 місяців тому

    What is with the stupid music, it's distracting

    • @SuMyPyLab
      @SuMyPyLab 5 місяців тому

      Thanks for honest comment. The background music is really annoying. I am really sorry for your discomfort. I am no longer using that music. Actually the music is not stupid, rather its wrong usage is. By the way, I deserve a thank for the content!!!

  • @davidsmith3961
    @davidsmith3961 5 місяців тому

    Excellent. Please make more videos.

    • @SuMyPyLab
      @SuMyPyLab 5 місяців тому

      Thanks a lot. And of course I will upload more such lessons.

  • @jadhavaniket2940
    @jadhavaniket2940 5 місяців тому

    great video

    • @SuMyPyLab
      @SuMyPyLab 5 місяців тому

      Thank you very much.

  • @user-nj1og6yb7v
    @user-nj1og6yb7v 5 місяців тому

    Pascals triangle is the binomial. The trinomial contains the tribonacci sequence. The tetranomial contains tetranacci. Etc... The Octanomial contains Octanacci sequence. Infinacci sequence is the powers of 2. 2^n "Binary". Fibonacci is related to phi. 0=x^2-x-1. Tribonacci constant 0=x^3-x^2-x-1 etc... But there is more in the Palidromes... infinacci constant ~2. 1.9999999999 repeating 9 decimal. Other pascal like triangles 11^n, 101^n, (73^n)(137^n) others via prime factorization. Binomial (11^n), Trinomial (3^n)(37^n), Tetranomial (11^n)(101)^n, Pentanomial (41^n)(271^n), Hexanomial (3^n)(7^n)(11^n)(13^n)(37^n), Heptanomial (239^n)(4649^n), Octanomial (11^n)(101^n) (73^n)(137^n) etc.. The powers of 2^n Pascal. 3^n, 4^n, 5^n, 6^n, 7^n, 8^n they are there in the other nomials.

    • @SuMyPyLab
      @SuMyPyLab 5 місяців тому

      Thank you very much.

    • @user-nj1og6yb7v
      @user-nj1og6yb7v 5 місяців тому

      Lets try the tetranomial (a+b+c+d)^n. Look in the diagonal and i bet you can guess what is forming. It is very apparent by the time you get to the Octanomial. Coefficients of the binomial 11^n. Tetranomial (11^n)*(101^n). 101^n itself being self similar to 11^n. try(73^n)(137^n). Octanomial coefficients: (11^n)(101^n) (73^n)(137^n) . 1 1 1 1 1 1 2 3 4 3 2 1 1 3 6 10 12 12 10 6 3 1 1 4 10 20 31 40 44 40 31 20 10 41 1 101 10201 1030301 104,060,401@@SuMyPyLab

  • @hariprasad-zq2bp
    @hariprasad-zq2bp 6 місяців тому

    Where is exception handling

    • @SuMyPyLab
      @SuMyPyLab 6 місяців тому

      To make the introduction simple for a beginner, I intentionally did not handled exceptions. Exception handling is covered in my next lesson. Please watch that lesson. The link is given below: ua-cam.com/video/kRtGYKOI6HI/v-deo.html

  • @haydnwebtech
    @haydnwebtech 6 місяців тому

    Excellent tutorials, really informative, and I love the way you provide such clear explanations as it makes it very easy to follow along. Well done!

    • @SuMyPyLab
      @SuMyPyLab 6 місяців тому

      Thank your very much for your encouraging remarks. So nice of you.

  • @bennguyen1313
    @bennguyen1313 6 місяців тому

    My goal is to read a csv file, and on the fly add columns to a single plot.. They all share the same x-axis, but have different y-axes scales/ranges. But when I try to programmatically generate the axes, it has an error because I haven't declared an array of axes to hold the return of twinx(): import matplotlib.pyplot as plt #Single canvas and axes in which all the data will be placed fig, ax = plt.subplots(1, 1) #Generate additional Y-axes and save into array for easy access for i in range (5): axIdx [ i ] = ax.twinx() #ERROR How can I create an array of axes so that I can easily access and configure a particular y-series (moving its legend, setting its color, etc)?

    • @SuMyPyLab
      @SuMyPyLab 6 місяців тому

      Thanks for you comments. I have got your problem on twinx(). Please give me some time, I will discuss this in another lesson.

    • @SuMyPyLab
      @SuMyPyLab 6 місяців тому

      Add the following lines just before your for loop. axIdx=[0,0,0,0,0] This will remove your error. By the way, as said earlier, I will make another lesson on shaing axis. Bye!

    • @SuMyPyLab
      @SuMyPyLab 6 місяців тому

      Try the following code as an example: import matplotlib.pyplot as plt import numpy as np x = np.arange(0.1, 10.0, 0.1) sine = np.sin(0.2 * np.pi * x) expo = np.exp(x) fig, ax1 = plt.subplots() ax1.set_xlabel('x') ax1.set_ylabel('Exponential', color = 'magenta') ax1.plot(x, expo, color = 'magenta') ax1.tick_params(axis ='y', labelcolor = 'magenta') # Sharing x-axis ax2 = ax1.twinx() ax2.set_ylabel('Sine', color = 'green') ax2.plot(x, sine, color = 'green') ax2.tick_params(axis ='y', labelcolor = 'green') fig.suptitle('twinx demo') plt.grid() plt.show()

  • @davidtindell950
    @davidtindell950 6 місяців тому

    Thanks Again! Timely & Relevant! BTW … some are saying that MySQL is actually “better” than “NoSQL” DB’s !

    • @SuMyPyLab
      @SuMyPyLab 6 місяців тому

      Thanks for your valuable feedback. I would like mention here that use cases of relational (MySQL) and non-relational (NoSQL) are quite different. NoSQL databases are used for unstructured data but SQL databases are used for structured data with transactional support. NoSQL stands for Not Only SQL!

    • @davidtindell950
      @davidtindell950 6 місяців тому

      @@SuMyPyLabthx

  • @razorblade413
    @razorblade413 6 місяців тому

    if i can drop rows using dataframe.loc with conditions why would i use .drop with conditions to drop rows? It seems like loc function could replace the drop function, at least when dropping rows based on some conditions. Could somebody knows about this?

    • @SuMyPyLab
      @SuMyPyLab 6 місяців тому

      Your observation is praiseworthy. But remember that this is not an issue. Python is a versatile language and it has many libraries and many improvements are happening in every libraries. So having same functionality in two different functions or methods is not uncommon. So we can perform same thing in many different ways. But remember that the performance may be different for each alternative methods.

  • @davidtindell950
    @davidtindell950 6 місяців тому

    thank u. a timely & USEFUL REVIEW.

    • @SuMyPyLab
      @SuMyPyLab 6 місяців тому

      Thank you very much for your encouraging feedback.

  • @seaofplatitudes780
    @seaofplatitudes780 7 місяців тому

    Thank you for this wonderfully clear explanation!

    • @SuMyPyLab
      @SuMyPyLab 7 місяців тому

      Thanks for your encouraging remarks.

    • @SuMyPyLab
      @SuMyPyLab 7 місяців тому

      Thanks for your encouraging remarks.

  • @protospy22
    @protospy22 8 місяців тому

    The typing is sooooo slow

    • @SuMyPyLab
      @SuMyPyLab 8 місяців тому

      Thanks for your comment. Yes, I do agree with you. I have improved a lot in my next lessons. Thank you again.

  • @IMDash_freak002
    @IMDash_freak002 9 місяців тому

    I hate background music can you reupload this without music

    • @SuMyPyLab
      @SuMyPyLab 9 місяців тому

      I am really sorry to hear that you don't like the background music. Ok, I will keep this in mind next time. I may think of re-upload it without music if possible later. Thanks.

  • @munivoltarc
    @munivoltarc 9 місяців тому

    wonderful explanation, Hi could you make a video on Oops Project planning and layout design , live coding of any big or medium project using OOPS concept oriented way, that will make many people as a good programmers.

    • @SuMyPyLab
      @SuMyPyLab 9 місяців тому

      Thank you very much for your encouraging feedback. I will definitely try to do such projects sometime later. Currently I am trying to complete few more useful lessons for intermediate level learners. Kindly wait for sometime. Once again I thank you.

  • @matmektep
    @matmektep 9 місяців тому

    Nice explanation, but the background music is very annoying. Sorry for a negative feedback.

    • @SuMyPyLab
      @SuMyPyLab 9 місяців тому

      Thank you very much for your valuable feedback. I will keep this in mind. Bye the way, I didn't mind at all. Your honest comment will guide me in future. Wis you all the best.

  • @markmilan57
    @markmilan57 9 місяців тому

    Love your tutorial videos.

    • @SuMyPyLab
      @SuMyPyLab 9 місяців тому

      Thanks a lot for your encouraging words.

  • @analyticshuk4102
    @analyticshuk4102 10 місяців тому

    Very useful.... Thanks

    • @SuMyPyLab
      @SuMyPyLab 9 місяців тому

      My pleasure. Thank you.

  • @manoharsagunthalla9215
    @manoharsagunthalla9215 10 місяців тому

    How to print bold and font size bigger through code?

    • @SuMyPyLab
      @SuMyPyLab 10 місяців тому

      Hi! Thanks a lot for your interest. In Command Line Interface (CLI), it is possible to change the color of the font or changing the font to bold, but I think it is not possible to change the font size. Actually, the font and font-size is terminal dependent. There may some way out but I am not aware of it right now. For bold font or color fonts, you may try these: print('\033[1m' + 'Have a nice day (Bold)' + '\033[0m') print('\033[91m' + 'Have a nice day (RED)' + '\033[0m') print('\033[95m' + 'Have a nice day (PURPLE)' + '\033[0m') Here are few more color codes: UNDERLINE = '\033[4m' YELLOW = '\033[93m' GREEN = '\033[92m' BLUE = '\033[94m' PURPLE = '\033[95m' CYAN = '\033[96m' DARKCYAN = '\033[36m' END = '\033[0m'

  • @nasrinparvin491
    @nasrinparvin491 10 місяців тому

    Very helpful sir

  • @carlosfedericocedolini861
    @carlosfedericocedolini861 10 місяців тому

    Excelente y muy accesible y ordenada la enseñanza. gracias. Argentina.

    • @SuMyPyLab
      @SuMyPyLab 10 місяців тому

      Thank you very much for your valuable feedback.