Song List
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A blog for software engineering, music and many more.
Exploring the Intersection of Software Engineering & Musical Artistry
ā§§. āĻāϝ়াāϰ্āĻŽ āĻāĻĒঃ āϝāĻĻি āϏ্āĻেāϞ āĻļেāĻা āĻĨাāĻে āϤাāĻāϞে āĻāĻ āϏ্āĻেāϞ āĻুāϞোāϰ āĻāĻĒāϰ āĻŦিāĻিāύ্āύ āĻĒাāϞ্āĻা āĻŦাāĻিāϝ়ে āĻāϝ়াāϰ্āĻŽ āĻāĻĒ āĻāϰা āĻāĻিā§। āĻāϰ āĻļেāĻা āύা āĻĨাāĻāϞে āĻĢিāĻ্āĻাāϰ āĻāĻ্āϏাāϰāϏাāĻāĻ āĻুāϞো āĻŦাāĻাāύো āĻāĻিā§। āĻŽিāĻāĻিāĻ āĻāϰ āϏেāύ্āϏ āĻāĻŦং āĻĢিāĻ্āĻাāϰ āϏ্āĻিāϞ āĻĻুāĻোāĻ āĻাāϞো āĻāĻŽāĻĒ্āϰুāĻ āĻšāĻŦে। āϏাāĻĨে āĻŽেāĻ্āϰোāύোāĻŽ āĻāĻāĻ āĻāϰāϞে āϤাāϞ āĻāϰ āϏেāύ্āϏ āĻŦাāĻĄ়āĻŦে āĻāĻŦং āϏ্āĻĒীāĻĄ āĻāϤāĻুāĻু āĻāĻŽāĻĒ্āϰুāĻ āĻšāĻ্āĻে āϏেāĻাāĻ āĻŦুāĻা āϝাāĻŦে।
⧍. āĻাāύ āĻŦাāĻাāύোঃ āĻাāύা āĻাāύāĻুāϞোāϰ āĻŽāϧ্āϝে āĻāϝ়েāĻāĻা āĻŦাāĻাāύো āĻāĻিā§। āĻāϤে āĻāϰে āĻাāύāĻুāϞোāϤে āĻļৈāϞ্āĻĒিāĻāϤা āĻāϰো āĻŦাāĻĄ়āĻŦে।
The Symphony of Code: How Music Enhances Productivity and Creativity for Programmers
In the fast-paced, detail-oriented world of software development, programmers and engineers often face long hours of intense focus, complex problem-solving, and the pressure of deadlines. Amidst the clatter of keyboards and the glow of monitors, many developers have discovered a secret weapon to elevate their workflow: music. Beyond mere background noise, music serves as a powerful tool that sharpens focus, sparks creativity, and transforms the coding experience. Let’s explore the science and art behind why music is a game-changer for programmers—and how you can harness its benefits.
Open offices, chatty colleagues, and the relentless ping of notifications can shatter a programmer’s concentration. Music acts as a personalized soundscape, creating an auditory shield against interruptions. Studies, including one from the University of Birmingham, reveal that listening to music can reduce distractions by engaging the brain’s auditory cortex, allowing developers to maintain attention on complex tasks like debugging or algorithm design.
Instrumental tracks, ambient sounds, or lo-fi beats are particularly effective. Without lyrics to process, the brain isn’t pulled into parsing language, freeing cognitive resources for coding. Developers often compare this to entering a “zone” where the outside world fades, leaving only the rhythm of their keystrokes and the logic unfolding on their screens.
Pro Tip: Experiment with noise-canceling headphones paired with non-lyrical playlists to create your ideal focus environment.
Programming is inherently stressful—tight deadlines, elusive bugs, and the pressure to innovate can spike cortisol levels. Music’s ability to lower stress is well-documented: research in Psychology of Music shows that soothing melodies slow heart rates and reduce anxiety. For developers, this translates to a calmer mindset when tackling challenges.
Genres like classical, ambient, or nature sounds activate the parasympathetic nervous system, promoting relaxation. Even upbeat tracks can serve as a mental reset during frustrating moments. Imagine hitting a roadblock in your code, taking a deep breath, and letting a favorite song dissolve tension—returning to the problem with renewed clarity.
Coding isn’t just logical; it’s deeply creative. Designing elegant solutions requires divergent thinking, and music can be the catalyst. A Cambridge University study found that background music enhances creativity by stimulating the brain’s default mode network, associated with imagination and abstract thinking.
Video game soundtracks, known for their immersive and adaptive qualities, are a favorite among developers. Composers design these tracks to enhance focus without overwhelming the player—making them ideal for brainstorming sessions. Similarly, jazz or experimental electronic music can disrupt habitual thinking patterns, leading to “aha!” moments.
Flow state—the holy grail of productivity—occurs when challenges align with skill, resulting in effortless immersion. Music’s rhythmic structure can entrain brainwaves, guiding developers into this state. A steady tempo (60-70 BPM) mirrors the resting heart rate, inducing calm focus, while faster beats (120-140 BPM) energize during marathon coding sessions.
Apps like Brain.fm or Focus@Will use AI-generated music optimized for flow, combining repetitive patterns and subtle variations to sustain engagement. The result? Hours pass like minutes, and code flows seamlessly.
Ever notice how a pump-up playlist fuels your gym session? Music’s emotional resonance works similarly for programmers. Upbeat tracks release dopamine, boosting motivation during tedious tasks like refactoring code. Platforms like Spotify feature playlists like “Programming Focus” or “Deep Concentration” curated to energize without distracting.
Even in remote work, shared playlists can foster team camaraderie. Imagine syncing with a colleague across time zones, both coding to the same lo-fi mix—a small but meaningful connection.
Beyond mood, music enhances cognitive functions critical for coding:
Memory: Melodic patterns improve recall, aiding in memorizing syntax or APIs.
Pattern Recognition: Music’s structure mirrors coding’s logical flow, training the brain to spot bugs or inefficiencies.
Tempo and Timing: Fast-paced music can accelerate repetitive tasks, while slower tempos deepen analytical thinking.
Lyrics vs. Instrumental: Save lyric-heavy tracks for breaks or creative brainstorming. Opt for instrumental during intense coding.
Genres to Try:
Classical: Bach or Mozart for structured thinking.
Ambient/Electronic: Brian Eno or Aphex Twin for flow.
Video Game Soundtracks: Minecraft or Stardew Valley for relaxed focus.
Lo-Fi Hip Hop: Chill beats for sustained sessions.
Tempo Tools: Use apps like SongBPM to match music speed to your task.
Pomodoro Playlists: Align 25-minute focus intervals with uninterrupted tracks.
Custom Mixes: Create playlists for different tasks—e.g., “Debugging Dubstep” vs. “Architectural Ambient.”
Silence is Golden: If music distracts, try nature sounds or white noise.
Music isn’t a one-size-fits-all solution, but its potential to transform your coding experience is undeniable. Whether it’s the serene strains of a piano sonata or the pulsating energy of electronic beats, the right soundtrack can turn programming from a task into an art form. So, plug in, press play, and let the code—and music—flow.
What’s your go-to coding soundtrack? Share your favorites in the comments—your next productivity boost might be a song away. đ§đģ
āϰাāĻ āĻেāĻĻাāϰ (Raag Kedar) āĻšāϞ āĻšিāύ্āĻĻুāϏ্āϤাāύি āĻļাāϏ্āϤ্āϰীāϝ় āϏāĻ্āĻীāϤেāϰ āĻāĻāĻি āĻ āϤিāĻĒ্āϰāĻāϞিāϤ āĻāĻŦং āĻ āϤ্āϝāύ্āϤ āĻāύāĻĒ্āϰিāϝ় āϰাāĻ। āĻŦাংāϞাāϝ় āĻāĻ āϰাāĻেāϰ āĻŦāϰ্āĻŖāύা āύিāĻে āĻĻেāĻā§া āĻšāϞো:
āĻ াāĻ: āĻāϞ্āϝাāĻŖ
āϏāĻŽāϝ়: āϰাāϤ্āϰি āĻĒ্āϰāĻĨāĻŽ āĻĒ্āϰāĻšāϰ (āϏāύ্āϧ্āϝা ā§Ŧ āĻা āĻĨেāĻে āϰাāϤ ⧝āĻা)
āĻĒ্āϰāĻৃāϤি: āĻāĻ্āϤিāĻŽূāϞāĻ, āĻļাāύ্āϤ āĻ āĻāĻĻাāϤ্āϤ āĻাāĻŦāϏāĻŽ্āĻĒāύ্āύ
āĻĒ্āϰāϧাāύ āϏ্āĻŦāϰ: āĻŽ āĻ āϏ
āϏা āĻš্āĻŽ, āĻĒ,āϧ, āύি āϏা' |
āϏা' āύি āϧ āĻĒ, āĻŽ āĻĒ āϧ āĻĒ , āĻŽ āĻŽ āϰি, āϏা |
āϰাāĻ āĻেāĻĻাāϰে āĻŽ āĻāĻŦং āĻĒ āĻāϰ āĻেāϞা āĻুāĻŦāĻ āĻুāϰুāϤ্āĻŦāĻĒূāϰ্āĻŖ।
āĻāĻি āĻāĻāĻি āĻāĻীāϰ āĻāĻ্āϤিāϰāϏāĻĒূāϰ্āĻŖ āϰাāĻ।
āĻাāϝ়āĻি āĻুāĻŦāĻ āĻ্āϰেāϏāĻĢুāϞ āĻ āϏ্āĻŦāĻ্āĻ।
āĻ āύেāĻ āϏāĻŽā§ āĻŽ āĻĨেāĻে āϏāϰাāϏāϰি āĻĒ, āĻāĻŦাāϰ āĻ āĻĨেāĻে āϰি-āϏা āĻāϏে।
| āĻŦিāĻ āύং | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| āϤাāϞ | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϤিāύ | āϤিāύ | āϤা | āϤা | āϧিāύ | āϧিāύ | āϧা |
| āϞিāϰিāĻ | āĻা | - | āύা | |||||||||||||
| āϏ্āĻŦāϰāϞিāĻĒি | āĻš্āĻŽ | - | āĻĒ | |||||||||||||
| āϏ্āĻŦāϰāϞিāĻĒি | ||||||||||||||||
| āϏ্āĻŦāϰāϞিāĻĒি | āϰ্āϏ | āϧ | āĻŖāϧ | āĻĒāĻš্āĻŽ | āĻĒ | āĻĒ | - | āĻš্āĻŽ | āϧ | āĻĒ | āĻŽ | āĻŽ | । | āĻ | āĻĒāĻŽ | āϏ |
| āϏ্āĻŦāϰāϞিāĻĒি | ||||||||||||||||
| āϏ্āĻŦāϰāϞিāĻĒি | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϤিāύ | āϤিāύ | āϤা | āϤা | āϧিāύ | āϧিāύ | āϧা |
| āĻŦিāĻ āύং | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| āϤাāϞ | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϤিāύ | āϤিāύ | āϤা | āϤা | āϧিāύ | āϧিāύ | āϧা |
| āϏ্āĻŦāϰāϞিāĻĒি | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϤিāύ | āϤিāύ | āϤা | āϤা | āϧিāύ | āϧিāύ | āϧা |
| āϤাāϞ | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϤিāύ | āϤিāύ | āϤা | āϤা | āϧিāύ | āϧিāύ | āϧা |
| āϏ্āĻŦāϰāϞিāĻĒি | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϤিāύ | āϤিāύ | āϤা | āϤা | āϧিāύ | āϧিāύ | āϧা |
| āϏ্āĻŦāϰāϞিāĻĒি | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϤিāύ | āϤিāύ | āϤা | āϤা | āϧিāύ | āϧিāύ | āϧা |
| āϏ্āĻŦāϰāϞিāĻĒি | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϤিāύ | āϤিāύ | āϤা | āϤা | āϧিāύ | āϧিāύ | āϧা |
| āϏ্āĻŦāϰāϞিāĻĒি | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϤিāύ | āϤিāύ | āϤা | āϤা | āϧিāύ | āϧিāύ | āϧা |
| āϏ্āĻŦāϰāϞিāĻĒি | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϤিāύ | āϤিāύ | āϤা | āϤা | āϧিāύ | āϧিāύ | āϧা |
| āϏ্āĻŦāϰāϞিāĻĒি | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϧিāύ | āϧিāύ | āϧা | āϧা | āϤিāύ | āϤিāύ | āϤা | āϤা | āϧিāύ | āϧিāύ | āϧা |
āĻāĻŽāύ, āϰাāĻāĻিāϰ āĻāύ্āĻŽ āĻāϞ্āϝাāύ āĻ াāĻ āĻĨেāĻে।
āĻŦাāĻĻীঃ āĻাāύ্āϧাāϰ,
āϏāĻŽāĻŦাāĻĻীঃ āύিāώাāĻĻ।
āϏāĻŽā§ঃ āϰাāϤ্āϰিāϰ āĻĒ্āϰāĻĨāĻŽ āĻĒ্āϰāĻšāϰ
āĻাāϤিঃ āϏāĻŽ্āĻĒূāϰ্āĻŖ-āϏāĻŽ্āĻĒূāϰ্āĻŖ,
āĻāϰোāĻš- āύ্ āϰা āĻাāĻ্āώা āϧাāύাāϰ্āϏা।
āĻ āĻŦāϰোāĻš āϏা āύা āϧা āĻĒা āĻ্āώা āĻাāϰাāϏা।
āϰাāĻāĻি āĻুāĻŦāĻ āϏāϰāϞ āĻ āϏāĻšāĻ।
āϰাāĻāĻি āĻāĻ্āϤি āϰāϏাāĻļ্āϰিāϤ। āĻāĻāύা, āĻāĻĒাāϏāύা, āĻĒ্āϰাāϰ্āĻĨāύা, āĻĒ্āϰāĻļāϏ্āϤি, āĻāϤ্āϝাāĻĻিāϤে āϧ্āϰুāĻĒāĻĻ, āϧাāĻŽাāϰ āĻĨেāĻে āĻ āϰ্āĻĨাā§ āĻĒুāϰোāύো āĻāĻŽāϞ āĻĨেāĻে āĻāĻ āϰāĻŦীāύ্āĻĻ্āϰāϏংāĻীāϤ āĻĒāϰ্āϝāύ্āϤ āĻāĻ āϰাāĻāĻিāĻে āĻāĻ্āϤি āϰāϏেāĻ āĻŦ্āϝāĻŦāĻšাāϰ āĻāϰা āĻšā§েāĻে, āĻāĻŦাāϰ āĻāĻ āĻāĻ্āϤি āϰāϏেāϰ āĻেāϤāϰেāĻ āĻিāĻু āĻāϰুāĻŖ, āĻিāĻু āĻŦীāϰ āĻĒ্āϰāĻৃāϤি āϰāϏেāϰ āĻāĻŦিāϰ্āĻাāĻŦ āĻāĻিā§ে āϰাāĻāĻিāĻে āĻļ্āϰুāϤিāĻŽāϧুāϰ āĻāϰে āĻāϰāĻ āϏুāύ্āĻĻāϰ āĻāϰা āĻšā§েāĻে। āĻĢāϞে āϰাāĻāĻি āĻুāĻŦāĻ āĻāύāĻĒ্āϰিā§।
āĻোāύ āϰাāĻ āĻাāϞ āĻāϰে āĻŦুāĻāϤে āĻŦা āĻļিāĻāϤে āĻšāϞে, āϤাāϰ āĻ ংāĻ āϰূāĻĒেāϰ āĻĒ্āϰāϤি āĻাāϞ āĻāϰে āϧ্āϝাāύ āĻāϰা āĻĒ্āϰā§োāĻāύ āϝেāĻŽāύ, āĻāĻ āϰাāĻāĻিāϤে āĻŽোāĻাāĻŽুāĻি āύিāĻŽ্āύāϞিāĻিāϤ āĻ ংāĻāĻুāϞি āĻŽāύে āϰাāĻা āĻāĻিā§।
ā§§. āĻ āύ্āϝ āϏāĻŽāϏ্āϤ āĻļুāĻĻ্āϧ āϏ্āĻŦāϰেāϰ āϏাāĻĨে āĻā§ি āĻŽāϧ্āϝāĻŽেāϰ āĻĒ্āϰā§োāĻ।
⧍. āĻাāύ্āϧাāϰ āϏ্āĻŦāϰেāϰ āĻŦāĻšুāϤ্āĻŦ- āĻŦাāĻĻী।
ā§Š. āύিāώাāĻĻ āϏ্āĻŦāϰেāϰ āĻŦāĻšুāϤ্āĻŦ- āϏāĻŽāĻŦাāĻĻী।
ā§Ē. āĻাāύ্āϧাāϰ āϏ্āĻŦāϰেāϰ āϏংāĻে āϰেāĻাāĻŦ āϏ্āĻŦāϰেāϰ āϏংāϝুāĻ্āϤি।
ā§Ģ. āύ্āϰ, āĻ āĻĨāĻŦা āĻ্āώা āϧা, āĻিāĻŽ্āĻŦা āύ্ āϰা āĻা, āĻ āĻ্āώা āϧাāύা।
ā§Ŧ. āĻাāĻ্āώাāĻĒাāϧা āĻĒা, āĻ্āώা āĻা, āĻāϰ āĻĒ্āϰā§োāĻ।
ā§. āĻাāĻ্āώাāĻĒা, āϰা āĻা āϰা āϏা āĻāϰ āĻĒ্āϰā§োāĻ।
ā§Ž. āĻĒুāϰ্āĻŦাংāĻ āĻĒ্āϰāϧাāύ।
⧝. āĻĒাāϰা āϏুāϰ āϏংāĻāϤি।
ā§§ā§Ļ. āĻ্āϰāĻš āϏ্āĻŦāϰ āύা āύ্āϝাāϏ āϏ্āĻŦāϰ āĻĒা āĻ āϏা।
āĻāĻ āĻুāϞি āĻাāϞ āĻāϰে āĻŽāύে āϰেāĻে āϝāĻĻি āĻŦিāϏ্āϤাāϰ āĻāϰāĻŽ্āĻ āĻāϰা āϝাā§ āϤāĻŦে āĻāĻŽāĻŖ āϰূāĻĒেāϰ āĻাāϞ āĻšোāĻ āĻŽāύ্āĻĻ āĻšোāĻ āĻĒ্āϰāĻাāĻļ āĻāĻāĻŦেāĻ। āϝেāĻŽāύ, āϝে āĻোāύ āĻĒā§°্āĻĻ্āĻĻা āĻĨেāĻে āϝāĻĻি āĻŦিāϏ্āϤাāϰ āĻļুāϰু āĻāϰি, āĻĒা..... āĻ্āώাāĻাāϰা āĻা āϰা.......... āĻāϰ āϏংāĻে āĻāϰ āĻ ংāĻ āύা āϰা āϏা āϝোāĻ āĻāϰে āĻĻিāϞেāĻ āĻāĻŽāĻŖ āĻĒāϰিāώ্āĻাāϰ āĻšā§ে āϝাāĻŦে। āĻ āĻĨāĻŦা āĻা āĻা āĻ্āώা āĻĒা .............. āϧা āĻĒা āĻ্āώা āĻা............ āϰা āĻা āĻ্āώা āĻāϰ āϏংāĻে āĻāϰ āĻ ংāĻ 'āĻĒা āϰা āĻা āϰা āϏা' āϝোāĻ āĻāϰāϞেāĻ āĻāĻŽāĻŖ āĻĒāϰিāώ্āĻাāϰ āĻšā§ে āϝাāĻŦে।
āĻāϰুāĻŖ āϰāϏ āĻāύāϤে āĻেāϞে' āϏা āϰা āϏাāĻĒাāĻ্āώাāĻা āĻিংāĻŦা āĻ্āώা āĻা .......... āύা āϧা āĻĻীāϰ্āĻ āĻāϰে āĻāĻ্āĻাāϰāĻŖ āĻāϰে āĻ āĻĨāĻŦা āϰা āĻা āϰাāύা āϧা āĻĒা āĻāĻŦেāĻ āĻĒ্āϰāϧাāύ āĻāϰāϤে āĻেāϞে āύা āϰা āĻ্āώা āĻĻীāϰ্āĻ āĻ āĻŦāϏ্āĻĨাāύ āĻĒāϰে āϰা āĻĒা āĻা āϰা āύাāϰা āϏা । āĻ āĻĨāĻŦা āĻ্āώা āϰা āĻাāĻ্āώা āĻা..... āϰা āϰা āύাāϰা āϏা ......... āĻ ংāĻļāĻুāϞিāϤে āĻāĻ্āϤ āĻাāĻŦেāϰ āĻšāĻĻিāϏ āĻŽিāϞāĻŦে।
āϰাāĻেāϰ āĻŦিāϏ্āϤাāϰ-
ā§§. āĻাāϰাāϏাāύ্āύা āϏা āύা āϰাāĻা āϰাāĻা āĻ্āώাāĻা āĻĒা āĻ্āώাāĻা āϰাāĻা āϰাāύা āϰাāϏা।
⧍. āύাāϰাāĻা āϰাāϏা āϏা āύাāϧা āύাāϧা āĻĒা āĻĒ্āϰাāϧাāύ্āϝ āϧাāύা āϰা āĻাāϰা āύাāϰাāĻা āϰা āύাāϰাāϏা।
ā§Š. āϏāĻা āϰাāĻা āĻ্āώāĻা āĻĒাāĻ্āώাāĻা āύাāϧা āĻĒাāĻ্āώাāĻা āϰ্āϏা āύাāϧা āĻĒাāĻ্āώাāĻা āϧা āĻĒাāĻ্āώাāĻা āϰাāĻা āĻĒা āϰাāϏা āύাāϰা āϏা।
ā§Ē. āϏাāϰাāϏা āϏাāϰাāĻাāϰাāϏা āϏাāϰাāĻাāĻ্āώাāĻাāϰাāϏা āϏাāϰাāĻাāĻ্āώাāĻĒাāĻ্āώাāĻাāϰাāϏা āϏাāϰাāĻাāĻ্āώাāĻĒাāϧাāĻĒাāĻ্āώাāĻাāϰাāϏা āϏাāϰাāĻাāĻ্āώাāĻĒাāϧাāύাāϧাāĻĒাāĻ্āώাāĻাāϰাāϏা āϏাāϰাāĻাāĻ্āώাāĻĒাāϧাāύাāϰ্āϏাāύাāϧাāĻĒাāĻ্āώাāĻাāϰাāϏা।
ā§Ģ. āϏাāϰাāϏা āϏাāϰাāĻাāϰাāϏা āϏাāϰাāĻাāĻ্āώাāĻĒাāϰা āϏা āϏাāϰাāĻাāĻ্āώাāĻĒাāϧাāĻĒাāĻ্āώাāϰাāϏা āϏাāϰাāĻাāĻ্āώাāĻĒাāϧাāύাāϧাāĻĒাāĻ্āώাāϰা āϏা āϏাāϰাāĻাāĻ্āώাāĻĒাāϧাāύাāϰ্āϏাāύাāϧাāĻĒাāĻ্āώাāϰা āϏা।
ā§Ŧ. āĻাāĻা āĻĒাāϧাāĻĒা āϏা āϏা āύাāϰাāϰ্āϏা āύাāϰাāϰ্āĻাāϰাāϰ্āϏা āϰাāϰ্āϏা āύাāϧা āĻĒা āĻ্āώাāĻĒা āύাāϧা āĻĒা āύাāϧা āĻĒাāϰ্āϏা āύাāϧা āĻĒা āϰাāϰ্āϏা āύাāϧাāĻĒা āĻ্āώাāĻĒাāύাāϧাāĻĒা āĻ্āώাāĻĒাāϧাāĻĒা āĻ্āώাāĻা āϰা āĻাāĻ্āώাāĻĒাāϧা āύাāϧা āĻĒা āĻ্āώāĻাāϰা āĻĒাāĻ্āώাāĻা āϰা āύাāϰা āϏা।
āĻāĻŽ্āĻĒোāĻিāĻļāύঃ
1. āύ্āϧ্āύ্āϏ, āύ্āϰāϏ,āύ্āϰāĻ, āĻāĻ, āύ্āϧ্āύ্āϰāϏ, āύ্āϰāĻāĻš্āĻŽ, āĻĒ, āĻš্āĻŽāϧāĻĒ, āĻĒāĻš্āĻŽāĻāϰ, āύ্āϰāϏ।
2. āϏāύ্āϧ্āĻĒ, āĻĒ্āύ্, āύ্āϧ্āύ্āϰ, āĻāϰ, āύ্āϰāϏ, āĻāĻš্āĻŽāĻĒ, āĻš্āĻŽāϧāĻĒ, āĻāĻš্āĻŽāϧāύ, āύāϧāύāϰ্āϏ, āύāϰ্āϰāϰ্āϏ।
3. āϰ্āϏāύāϧāĻĒ, āĻš্āĻŽāϧāĻĒ, āĻĒāĻš্āĻŽāĻāϰ, āύ্āϧ্āύ্āϰāϏ, āύ্āϰāĻāĻš্āĻŽāĻĒ, āϰāĻ, āύ্āϰāϏ।
ā§Ļ ā§§ + ⧍ -- āĻāĻš্āĻŽ āϧāύ
āϰ্āϏ - āύ āϧ ।āĻĒ āĻš্āĻŽ āĻ āĻš্āĻŽ ।āĻĒ - āϰ āĻ । āύ্āϰ āϏ āĻāĻš্āĻŽ āϧāύ
āϰ্āϏ - āύ āϧ ।āĻĒ āĻš্āĻŽ āĻ āĻš্āĻŽ ।āĻĒ - āϰ āĻ । āύ্āϰ āϏ āĻĒ্āύ্ āϏāϰ
āύ্ āϰ āĻ āϰ ।āĻ - āĻ āϰ ।āĻ āĻš্āĻŽ āĻĒ āĻš্āĻŽ। āĻ āĻš্āĻŽ āĻĒ -
āύ্ āϰ āĻ āϰ ।āĻ - āĻ āϰ ।āĻ āĻš্āĻŽ āĻĒ āĻš্āĻŽ। āĻ āĻš্āĻŽ āĻĒ -
āύ āϰ্āϏ - āϧ । - āύ āĻĒ āϧ । - āϧ āĻĒ āĻš্āĻŽ । āĻ āϰ āĻāĻš্āĻŽ āϧāύ
āĻাāϰāϤীā§ āĻļাāϏ্āϤ্āϰীā§ āϏāĻ্āĻীāϤেāϰ āĻŽূāϞ āĻিāϤ্āϤি āĻšāϞো āϰাāĻ। āϰাāĻ āĻļুāύে āĻিāύāϤে āĻĒাāϰা āĻāĻ āĻ āϏাāϧাāϰāĻŖ āĻĻāĻ্āώāϤা, āϝা āϧীāϰে āϧীāϰে āĻ āĻ্āϝাāϏেāϰ āĻŽাāϧ্āϝāĻŽে āĻ āϰ্āĻāύ āĻāϰা āϝাā§। āĻāĻ āĻāĻŽāϰা āĻāϞোāĻāύা āĻāϰāĻŦ āĻিāĻাāĻŦে āϏāĻšāĻে āϰাāĻ āĻিāĻš্āύিāϤ āĻāϰা āϝাā§।